CN115087004B - Uplink signal detection method and device for flexible frame structure simulation system - Google Patents

Abstract

The application discloses an uplink signal detection method and device of a flexible frame structure simulation system, relates to the technical field of communication, and is used for comprehensively and accurately determining the signal quality of an uplink signal received by a cell. The flexible frame structure simulation system comprises a target cell and an interference cell. The method comprises the following steps: determining a first interference value of the plurality of interference uplink signals to the first uplink signal and a second interference value of noise to the first uplink signal; determining an interference elimination factor of an interference cell according to a preset interference elimination factor library and an interference included angle of the interference cell, and calculating a third interference value of an interference uplink signal to the first uplink signal according to the interference elimination factor, the signal transmitting power of the interference cell and the link loss between the interference cell and a target cell; and accurately and comprehensively determining the signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal and the interference values of a plurality of interference sources such as the first interference value, the second interference value, the third interference value and the like.

Description

Uplink signal detection method and device for flexible frame structure simulation system

Technical field

The embodiments of the present application relate to the field of communication technology, and in particular, to an uplink signal detection method and device for a flexible frame structure simulation system.

Background technique

In a communication system with a time division duplexing (TDD) mode, a cell can use different time slots of the same frequency channel (i.e., carrier) to send and receive signals. In other words, the cell can allocate the uplink and downlink of the communication system to the same spectrum through TDD technology. The uplink and downlink occupy different time periods, so that wireless resources can be fully utilized to adapt to the asymmetric characteristics of different services.

In a communication system with TDD mode, different subframe configuration structures are defined, which may include, for example, DSUUU, DDSUU and DDDSU. Among them, D represents the downlink slot (Downlink slot), which refers to the time slot used for downlink transmission. S stands for Special slot, which refers to the time slot used for downlink transmission or uplink transmission. U represents the uplink time slot (Uplinkslot), which refers to the time slot used for uplink transmission. In this way, the cell can flexibly select an appropriate subframe structure configuration based on the uplink and downlink traffic it carries, thereby using the uplink and downlink bandwidth configured in the subframe structure to transmit services. However, when different terminals use different subframe configuration structures to send uplink signals to the cell, the uplink signals received by the cell will be subject to cross-time slot interference. At this time, the uplink signal received by the cell needs to be detected to determine the signal quality of the uplink signal.

Contents of the invention

This application provides an uplink signal detection method and device for a flexible frame structure simulation system, which is used to comprehensively and accurately detect the uplink signal received by a cell to determine the signal quality of the uplink signal.

In order to achieve the above purpose, this application adopts the following technical solutions:

In the first aspect, an uplink signal detection method of a flexible frame structure simulation system is provided, wherein the flexible frame structure simulation system includes a target cell and an interfering cell, and the downlink signal sent by the interfering cell affects the first signal sent by the target terminal to the target cell. The uplink signal causes interference. The method includes: determining a first interference value of uplink signals of multiple interfering terminals to the first uplink signal and a second interference value of noise to the first uplink signal; determining an interference angle of the interfering cell, and based on the interference angle and The preset interference cancellation factor library determines the interference cancellation factor of the interfering cell. The interference angle is the angle between the connection between the target terminal and the target cell and the connection between the interfering cell and the target cell. The preset interference cancellation factor library includes Multiple interference angles and the interference cancellation factor corresponding to each interference angle. The interference cancellation factor of the interfering cell is used to represent the degree of interference of the downlink signal sent by the interfering cell on the first uplink signal; according to the interference cancellation factor of the interfering cell, interference The signal transmission power of the downlink signal sent by the cell and the link loss between the interfering cell and the target cell are used to calculate the third interference value of the downlink signal of the interfering cell to the first uplink signal; according to the signal strength of the first uplink signal, the first interference value, the second interference value and the third interference value to determine the signal-to-noise ratio of the first uplink signal.

Based on the technical solution provided by this application, when the terminal uses a flexible frame structure to send uplink signals to the cell, the uplink signal from the terminal received by the cell may be interfered by the downlink signal of the adjacent cell and the uplink signal of the terminal. Therefore, in the embodiment of the present application, the interference value (also known as interference value) of multiple interference sources that interfere with the uplink signal from the terminal received by the cell (such as downlink signal interfering with the cell, noise, uplink signal interfering with the terminal, etc.) It can be called interference power) and calculates the signal-to-noise ratio of the uplink signal from the terminal received by the cell. Since the signal-to-noise ratio of a signal can reflect the signal quality of the signal, the technical solution provided by the embodiments of the present application can comprehensively and accurately evaluate the signal quality of the uplink signal received by the cell.

In a possible implementation, the multiple interfering terminals include strong interfering terminals and weak interfering terminals. The large-scale path loss between the strong interfering terminal and the target cell is greater than or equal to a preset threshold, and the large-scale path loss between the weak interfering terminal and the target cell is greater than or equal to the preset threshold. The large-scale path loss is less than the preset threshold. The above-mentioned "determining the first interference value of the uplink signals of multiple interfering terminals on the first uplink signal" includes: based on the signal transmission power of the strong interfering terminal, the distance between the target cell and the strong interfering terminal. The channel matrix and the precoding matrix of the strong interference terminal are used to calculate the interference value of the uplink signal of the strong interference terminal to the first uplink signal; the weak interference is calculated based on the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal. The interference value of the uplink signal of the terminal to the first uplink signal, the first interference value includes: the interference value of the uplink signal of the strong interfering terminal to the first uplink signal and the interference value of the uplink signal of the weak interfering terminal to the first uplink signal.

In one possible implementation, the above method of "determining the interference angle of the interfering cell" specifically includes: taking the location information of the target cell as the center point, rotating the connection between the target terminal and the target cell in a preset direction, so that the rotation The final connection between the target terminal and the target cell coincides with the connection between the interfering cell and the target cell; according to the rotation angle of the connection between the target terminal and the target cell, the interference angle of the interfering cell is determined, and the interference angle is greater than or equal to 0° and less than or equal to 180°.

In a possible implementation, the method also includes: determining the interference elimination factors and interference angles of multiple sampling points through simulation; rasterizing the multiple interference angles to obtain multiple angle intervals; determining each interference angle interval. The interference elimination factor corresponding to each included angle interval in the included angle interval is determined, and an interference elimination factor library is constructed based on the multiple included angle intervals and the interference elimination factors corresponding to each included angle interval. The above-mentioned method of "determining the interference elimination factor of the interfering terminal based on the interference angle and the preset interference elimination factor library" specifically includes: determining the angle interval corresponding to the interference angle of the interfering terminal in the preset interference elimination factor library. The target angle interval, and the interference cancellation factor corresponding to the target angle interval is used as the interference cancellation factor of the interfering terminal.

In a possible implementation, the above method of "determining the interference elimination factor corresponding to each angle interval among the multiple angle intervals" may specifically include: for any angle interval among the multiple angle intervals, the The mean value of the interference elimination factors of one or more sampling points corresponding to the included angle interval is used as the interference elimination factor corresponding to the included angle interval; in the case where there is a first included angle interval in multiple included angle intervals, according to the first included angle interval, The interference elimination factors corresponding to the adjacent angle intervals of an included angle interval determine the interference elimination factors corresponding to the first included angle interval. There is no interference included angle of the adopted point in the first included angle interval.

In a possible implementation, the method of "determining the interference cancellation factor corresponding to the first angle interval based on the interference cancellation factor corresponding to the angle interval adjacent to the first angle interval" specifically includes: if the first angle interval is If the angle interval is the edge of multiple angle intervals, then the angle interval adjacent to the first angle interval will be used as the interference elimination factor of the first angle interval; if there are two adjacent angle intervals in the first angle interval angle interval and the two adjacent included angle intervals have corresponding interference cancellation factors, then the mean value of the interference elimination factors corresponding to the two adjacent included angle intervals is used as the interference cancellation factor corresponding to the first included angle interval.

In one possible implementation, the signal-to-noise ratio of the first uplink signal satisfies a preset formula, which is: SINR=S1/(S1+B1+B2+B3); wherein SINR is the signal-to-noise ratio of the first uplink signal, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

In the second aspect, a signal detection device of a flexible frame structure simulation system is provided (hereinafter, for the convenience of description, it is detected as a signal detection device). The flexible frame structure simulation system includes a target cell and an interference cell. The downlink signal sent by the interference cell interferes with the first uplink signal sent by the target cell to the target terminal. The signal detection device can be a functional module for implementing the method described in the first aspect or any possible design of the first aspect. The signal detection device can implement the functions performed in the above-mentioned aspects or possible designs, and the functions can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above-mentioned functions. For example, the signal detection device includes a determination unit and a processing unit.

A determining unit configured to determine a first interference value of the uplink signals of multiple interfering terminals on the first uplink signal and a second interference value of noise on the first uplink signal.

The determination unit is also used to determine the interference angle of the interfering cell, and determine the interference elimination factor of the interfering cell based on the interference angle and the preset interference elimination factor library. The interference angle is the connection between the target terminal and the target cell and The angle between the connection between the interfering cell and the target cell. The preset interference cancellation factor library includes multiple interference angles and the interference cancellation factors corresponding to each interference angle. The interference cancellation factor of the interfering cell is used to characterize the transmission of the interfering cell. The interference degree of the downlink signal to the first uplink signal.

A processing unit configured to calculate a third interference value of the uplink signal of the interfering terminal on the first uplink signal based on the interference cancellation factor of the interfering terminal, the signal transmission power of the interfering terminal, and the link loss between the interfering terminal and the target terminal.

The processing unit is also configured to determine the signal-to-noise ratio of the first uplink signal based on the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

The specific implementation of the signal detection device may refer to the behavioral function of the uplink signal detection method of the flexible frame structure simulation system provided by the first aspect or any possible design of the first aspect, and will not be repeated here. Therefore, the signal detection device of the flexible frame structure simulation system can achieve the same beneficial effects as the first aspect or any possible design of the first aspect.

In a possible implementation, the multiple interfering terminals include strong interfering terminals and weak interfering terminals. The large-scale path loss between the strong interfering terminal and the target cell is greater than or equal to a preset threshold, and the large-scale path loss between the weak interfering terminal and the target cell is greater than or equal to the preset threshold. The large-scale path loss is less than the preset threshold, and the determination unit is specifically used to: calculate the signal transmission power of the strong interference terminal, the channel matrix between the target cell and the strong interference terminal, and the precoding matrix of the strong interference terminal. The interference value of the uplink signal to the first uplink signal; according to the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal, calculate the interference value of the uplink signal of the weak interference terminal to the first uplink signal, the first interference The value includes: the interference value of the uplink signal of the strong interference terminal to the first uplink signal and the interference value of the uplink signal of the weak interference terminal to the first uplink signal.

In a possible implementation, the determining unit is specifically configured to: use the location information of the target terminal as the center point, rotate the connection between the target terminal and the serving cell according to a preset direction, so that the connection between the rotated target terminal and the serving cell is The connection coincides with the connection between the interfering terminal and the target terminal; the interference angle of the interfering terminal is determined based on the rotation angle of the connection between the target terminal and the serving cell. The interference angle is greater than or equal to 0° and less than or equal to 180°. .

In a possible implementation, the determination unit is also used to determine the interference elimination factors and interference angles of multiple sampling points through simulation; the processing unit is also used to rasterize the multiple interference angles to obtain multiple Angle interval; determines the unit and is also used to rasterize multiple interference angles to obtain multiple angle intervals. The determination unit is specifically used to determine the target angle interval corresponding to the interference angle of the interfering terminal among the multiple angle intervals in the preset interference elimination factor library, and use the interference cancellation factor corresponding to the target angle interval as the interference terminal. interference elimination factor.

In a possible implementation, the determination unit is specifically configured to: for any included angle interval among the multiple included angle intervals, use the mean value of the interference elimination factor of one or more sampling points corresponding to the included angle interval as The interference elimination factor corresponding to the included angle interval; when there is a first included angle interval among multiple included angle intervals, the first included angle interval is determined based on the interference elimination factor corresponding to the included angle interval adjacent to the first included angle interval. The interference elimination factor corresponding to the included angle interval. There is no interference included angle of the adopted point in the first included angle interval.

In a possible implementation, the determination unit is specifically configured to: if the first included angle interval is an edge of multiple included angle intervals, then use the included angle interval adjacent to the first included angle interval as the first included angle. Interference elimination factor of the interval; if there are two adjacent angle intervals in the first included angle interval and the two adjacent included angle intervals have corresponding interference elimination factors, then the corresponding interference elimination factors of the two adjacent included angle intervals The mean value of the interference elimination factor is used as the interference elimination factor corresponding to the first included angle interval.

In a possible implementation, the signal-to-noise ratio of the first uplink signal satisfies a preset formula, and the preset formula is: SINR=S1/(S1+B1+B2+B3); where SINR is the signal-to-noise ratio of the first uplink signal. Noise ratio, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

In the third aspect, a signal detection device for a flexible frame structure simulation system is provided (hereinafter referred to as the signal detection device for convenience of description). The signal detection device can realize the functions performed in the above aspects or various possible designs. The functions can be realized by hardware. For example: in a possible design, the signal detection device can include: a processor and a communication interface, The processor may be used to support the signal detection device to implement the functions involved in the first aspect or any possible design of the first aspect. For example, the processor determines the interference cancellation factor of the interfering terminal according to a preset neural network algorithm. .

In yet another possible design, the signal detection device may further include a memory, and the memory is used to store necessary computer execution instructions and data for the signal detection device. When the signal detection device is running, the processor executes the computer execution instructions stored in the memory, so that the signal detection device executes the flexible frame structure simulation described in the first aspect or any possible design of the first aspect. System's uplink signal detection method.

In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium can be a readable non-volatile storage medium. The computer-readable storage medium stores computer instructions or programs. When they are stored on a computer, When running, the computer can execute the uplink signal detection method of the flexible frame structure simulation system according to the first aspect or any possible design of the above aspects.

In a fifth aspect, a computer program product containing instructions is provided, which, when run on a computer, enables the computer to execute the above first aspect or any possible design of the flexible frame structure simulation system of the above aspects. Uplink signal detection method.

In a sixth aspect, a chip system is provided. The chip system includes a processor and a communication interface. The chip system can be used to implement the signals of the flexible frame structure simulation system in the first aspect or any possible design of the first aspect. The function performed by the detection device, for example, the processor is used to determine the signal strength of the first uplink signal received by the target terminal. In a possible design, the chip system further includes a memory, and the memory is used to store program instructions and/or data. The chip system may be composed of chips, or may include chips and other discrete devices without limitation.

Among them, the technical effects brought by any one of the design methods from the second aspect to the sixth aspect can be referred to the technical effects brought by the above-mentioned first aspect, and will not be described again.

Description of drawings

FIG1 is a schematic diagram of the structure of a communication system provided in an embodiment of the present application;

Figure 2 is a schematic structural diagram of another communication system provided by an embodiment of the present application;

FIG3 is a schematic diagram of the structure of a signal detection device 300 provided in an embodiment of the present application;

Figure 4 is a schematic flow chart of an uplink signal detection method provided by an embodiment of the present application;

Figure 5 is a schematic flowchart of a training method for a preset neural network model provided by an embodiment of the present application;

Figure 6 is a schematic diagram of an interference angle of an interference cell provided by an embodiment of the present application;

Figure 7 is a schematic diagram of an interference angle of an interference terminal provided by an embodiment of the present application;

Figure 8 is a schematic diagram of another uplink signal detection method of a flexible frame structure simulation system provided by an embodiment of the present application;

Figure 9 is a schematic diagram of another uplink signal detection method of a flexible frame structure simulation system provided by an embodiment of the present application;

FIG. 10 is a schematic structural diagram of another signal detection device 100 provided in an embodiment of the present application.

Detailed ways

In order to enable ordinary people in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

It should be noted that the terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of embodiments of the present application as detailed in the appended claims.

It will also be understood that the term "comprising" indicates the presence of described features, integers, steps, operations, elements and/or components but does not exclude one or more other features, integers, steps, operations, elements and/or The presence or addition of components.

In order to ensure that the constructed cell can bring the maximum throughput gain, the communication quality of the planned communication system can be evaluated and analyzed by simulation before the actual networking. For example, for the new radio (NR) cell in the communication system with a TDD model, the NR cell uses the millimeter wave frequency band to transmit signal data. However, the penetration performance of the millimeter wave frequency band is poor. In an environment with good isolation, the NR cell can use a flexible frame method to transmit data using the bandwidth corresponding to different subframe configuration structures. However, when the NR cell uses a flexible frame method to transmit signals with the terminal, the problem of cross-slot interference will be introduced, which can easily cause a decrease in system capacity.

Normally, the signal quality of the uplink signal received by the cell can be determined through the signal-to-noise ratio. For example, the block error rate of the uplink signal can be mapped through the signal-to-noise ratio, so that the data throughput of the cell can be calculated. Therefore, in order to evaluate the network quality of the communication system, before networking, the uplink signal received by the cell can be detected through system simulation to determine the signal-to-noise ratio of the uplink signal received by the cell.

In a simulation scenario, when the cell and the terminal use the same frame structure for signal transmission, the uplink signal sent by the terminal to the cell may be interfered by the downlink signal sent by the interfering cell in the same slot. In order to determine the uplink signal received by a certain cell from the terminal (called the target terminal to distinguish it from the interfering terminal), the uplink signal received by the cell from the target terminal can be calculated by the following formula 1. The cell is the serving cell of the target terminal.

Wherein, y represents the signal when the uplink signal sent by the target terminal reaches the target cell (that is, the serving cell of the target terminal). P ₁ represents the signal transmission power of the target terminal. H _1s represents the channel matrix between the target terminal and the target cell. The order of the channel matrix is Np×Nb. The elements in the channel matrix represent the frequency domain channel response between the antenna of the target terminal and the antenna of the target cell. Np is the number of antennas of the target terminal, and Nb is the number of antennas of the target cell. W ₁ represents the precoding matrix of the target terminal. The order of the precoding matrix is Nb×M1. M1 is the number of signal streams of the uplink signal sent by the target terminal. x ₁ = (x _1.1 , x _1.2 ,..., x _1.M ) ^T is the normalized vector of the useful signal sent by the target terminal. _Pi represents the signal transmission power of the strong interference terminal. H _1g represents the channel matrix between the strong interference terminal and the target cell. _Wi represents the precoding matrix of the i-th strongly interfering terminal. i is a positive integer. _xi = (x ₁ , x ₂ , ..., x _Mj ) ^T represents the normalized vector of the signal sent by the strong interference terminal. z is noise, z=(z ₁ , z ₂ ,..., z _Nr ) ^T . The elements in z are independent and identically distributed CN(0, σ ² ). σ ² is the variance of the noise. _Pw represents the signal transmission power of the weakly interfering terminal. L _ig represents the link loss between the target cell and the weak interference terminal. The link loss may include large-scale path loss and antenna gain. The calculation method of large-scale path loss and antenna gain can refer to the existing technology and will not be described in detail.

It should be noted that an interfering cell may refer to a terminal that interferes with the uplink signal received by the target cell. An interfering terminal may access the same serving cell as the target terminal, or may be a terminal accessing an interfering cell. An interfering cell may include a strong interfering cell and a weak interfering cell. An interfering terminal may include a strong interfering terminal and a weak interfering terminal.

For example, as shown in Figure 1, it is a communication system provided by an embodiment of the present application. The communication system may include multiple cells (such as cell 1 and cell 2) and multiple terminals (such as terminal 1 and terminal 2). Each of the plurality of cells can provide services for terminals accessing the cell. For example, cell 1 can provide services for terminal 1, and cell 2 can provide services for terminal 2.

For terminal 1, cell 1 may be called a serving cell. When terminal 1 and terminal 2 use the same frame structure and the same time slot to send uplink signals to the corresponding serving cells, the uplink signal sent by terminal 2 may interfere with the uplink signal sent by terminal 1 to cell 1. At this time, terminal 2 can be called an interfering terminal of cell 1 and terminal 1.

In an example, if the large-scale path loss from terminal 2 to cell 1 is greater than or equal to the preset threshold, then terminal 2 can be called a strong interference terminal; if the large-scale path loss from terminal 2 to cell 1 is less than the preset threshold, then Terminal 2 can be called a weak interference terminal.

Alternatively, if cell 1 has multiple interfering terminals, the multiple interfering terminals may be sorted according to the magnitude of the large-scale path loss from the multiple interfering terminals to cell 1, and the first N interfering terminals are regarded as strong interfering terminals of cell 1, and the remaining interfering terminals are regarded as weak interfering terminals of cell 1. N is a positive integer less than the number of interfering terminals.

In another example, if the large-scale path loss from cell 2 to cell 1 is greater than or equal to the preset threshold, then cell 2 can be called a strong interference cell of cell 1; if the large-scale path loss from cell 2 to cell 1 is less than the preset threshold, Assuming a threshold, cell 2 can be called a weakly interfering cell of cell 1.

Alternatively, if terminal 1 has multiple interfering cells, it can be sorted according to the size of the large-scale path loss from the multiple interfering cells to cell 1, and the first N interfering cells are regarded as strong interfering cells of cell 1, and the remaining interfering cells are The cell serves as the weak interference cell of cell 1. N is a positive integer smaller than the number of interfering cells.

At the signal receiving end, in order to reduce signal distortion and mitigate the comprehensive impact of inter-symbol interference (ISI) and noise on the signal. The signal receiving end (such as the target cell) can perform linear detection on the received signal and obtain the detected signal (that is, the restored original signal).

For example, the target cell can use a preset linear detection algorithm to detect the received uplink signal. The preset linear detection algorithm can be zero forcing (ZF), minimum mean square error (MMSE), etc., of course, it can also be other linear detection algorithms without limitation.

In one example, the target cell can use a preset detection matrix to linearly detect the received uplink signal to obtain the detected uplink signal.

For example, the preset detection matrix is D, and the order of D is M1×Np. Then the detected uplink signal is:

in, Indicates the uplink signal received by the target cell. The uplink signal includes the useful signal and the inter-stream interference signal. /> Indicates the interference signals of other terminals in the multi-user (MU) paired terminal group and the interference signals of strong interfering terminals. The MU paired terminal group includes a target terminal and one or more interfering terminals. Dz represents noise interference. /> Indicates interference signals from weakly interfering terminals.

For the convenience of description, the above detected downlink signal can be transformed into:

in,

For any signal flow in the uplink signal received by the target cell (such as the m-th signal flow), the linearly detected signal of the m-th signal flow is:

Among them, A _m is the element of the mth row of A. _{B im} is the element of the mth row of B _i .

Then the signal-to-noise ratio of the m-th signal is:

Among them, A _mj is the m-th row and j-th column element of A. B _imj is the m-th row and j-th column element of B _i . D _mj is the m-th row and j-th column element of D.

In another simulation scenario, when the cell and terminal use a flexible frame structure for signal transmission, the uplink signal sent by the terminal to the cell is not only interfered by the downlink signal of the interfering cell in the same slot, but also interfered by the uplink signal of the interfering terminal. .

For example, as shown in Figure 2, when the interfering cell sends a downlink signal to the interfering terminal, the downlink signal can be received by the target cell. When the interfering cell and the target cell use the same time slot resources, the downlink signal will interfere with the uplink signal received by the target cell. At the same time, the downlink signal sent by the interfering cell to the interfering terminal will also interfere with the uplink signal sent by the target terminal.

In one example, the interfering cells may include strong interfering cells and weak interfering cells. The method for determining the strong interfering cells and the weak interfering cells may refer to the above description, which will not be described in detail here.

In another example, the interference terminal may include a strong interference terminal and a weak interference terminal. The large-scale path loss between the strongly interfering terminal and the target terminal is greater than or equal to the preset threshold 2. The large-scale path loss between the weakly interfering terminal and the target terminal is less than the preset threshold 2. Among them, the preset threshold 2 can be set as needed and is not limited.

In view of this, embodiments of the present application provide an uplink signal detection method for a flexible frame structure simulation system. When a terminal uses a flexible frame structure to send an uplink signal to a cell, the uplink signal received by the cell from the terminal may be affected by interference from neighboring cells. Interference between downlink signals and uplink signals interfering with the terminal. Based on this, in the embodiment of the present application, the interference value ( It can also be called interference power) and calculates the signal-to-noise ratio of the uplink signal from the terminal received by the cell. Since the signal-to-noise ratio of a signal can reflect the signal quality of the signal, the technical solution provided by the embodiments of the present application can comprehensively and accurately evaluate the signal quality of the uplink signal received by the cell.

It should be noted that the communication systems shown in Figure 1 and Figure 2 are all communication systems constructed through simulation using simulation equipment. The cells and terminals in Figures 1 and 2 are all in the same simulation system. The method in the embodiment of the present application is to simulate the actual communication environment through simulation, thereby obtaining the signal-to-noise ratio of the uplink signal received by the cell. In this way, during subsequent networking, communication engineers can adjust or optimize the planned cells based on the simulation results.

The methods provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

It should be noted that the network system described in the embodiments of the present application is to more clearly explain the technical solutions of the embodiments of the present application, and does not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those of ordinary skill in the art will know that, With the evolution of network systems and the emergence of other network systems, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

In one example, the embodiment of the present application further provides a signal detection device, which can be used to perform the method of the embodiment of the present application. For example, the signal detection device may be a simulation device or a component in the simulation device. The signal detection device can be provided with simulation software, and the simulation software can be used to perform the simulation process.

For example, as shown in FIG. 3 , it is a schematic diagram of the composition of a signal detection device 300 provided by an embodiment of the present application. The signal detection device 300 may include a processor 301, a communication interface 302 and a communication line 303.

Further, the signal detection device 300 may also include a memory 304. Among them, the processor 301, the memory 304 and the communication interface 302 can be connected through a communication line 303.

Among them, the processor 301 is a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, or a programmable logic device. , PLD) or any combination thereof. The processor 301 can also be other devices with processing functions, such as circuits, devices or software modules, without limitation.

Communication interface 302 is used to communicate with other devices or other communication networks. The communication interface 302 may be a module, a circuit, a communication interface, or any device capable of realizing communication.

The communication line 303 is used to transmit information between the components included in the signal detection device 300.

Memory 304 is used to store instructions. Wherein, the instructions may be computer programs.

The memory 304 may be a read-only memory (ROM) or other type of static storage device that can store static information and/or instructions, or it may be a random access memory (random access memory, RAM) or a static storage device that can store static information and/or instructions. Other types of dynamic storage devices for information and/or instructions, such as electrically erasable programmable read-only memory (EEPROM) or compact disc read-only memory (CD-ROM). ) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, etc., are not restricted.

It should be noted that the memory 304 may exist independently of the processor 301 or may be integrated with the processor 301 . The memory 304 can be used to store instructions or program codes or some data. The memory 304 can be located within the signal detection device 300 or outside the signal detection device 300, without limitation. The processor 301 is configured to execute instructions stored in the memory 304 to implement the uplink signal detection method of the flexible frame structure simulation system provided in the following embodiments of the present application.

In one example, the processor 301 may include one or more CPUs, such as CPU0 and CPU1 in FIG. 3 .

As an optional implementation, the signal detection device 300 includes multiple processors. For example, in addition to the processor 301 in FIG. 3, it may also include a processor 307.

As an optional implementation manner, the signal detection device 300 also includes an output device 305 and an input device 306. For example, the input device 306 is a device such as a keyboard, a mouse, a microphone, or a joystick, and the output device 305 is a device such as a display screen, a speaker, or the like.

It should be noted that the signal detection device 300 can be a desktop computer, a portable computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device with a similar structure as shown in FIG. 3 . In addition, the composition structure shown in FIG. 3 is not limited. In addition to the components shown in FIG. 3 , it may also include more or less components than in FIG. 3 , or combine certain components, or arrange different components.

In the embodiments of this application, the chip system may be composed of chips, or may include chips and other discrete devices.

In addition, actions, terms, etc. involved in various embodiments of this application can be referred to each other and are not limited. In the embodiments of this application, the name of the message exchanged between the various devices or the name of the parameters in the message is just an example, and other names may also be used in the specific implementation without limitation.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

In this application, "at least one" refers to one or more, and "plurality" refers to two or more. "And/or" describes the association of associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. The character "/" generally indicates that the related objects are in an "or" relationship. "At least one of the following" or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items). For example, at least one of a, b, or c can mean: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .

The following describes the uplink signal detection method of the flexible frame structure simulation system provided by the embodiment of the present application in conjunction with the network architecture shown in Figure 2.

It should be noted that, as shown in Figure 4, the method provided by the embodiment of the present application includes a pre-simulation stage and a simulation stage.

Among them, in the pre-simulation stage, a preset interference elimination factor library can be constructed. During the simulation phase, simulation tasks can be performed. For example, the simulation equipment can determine the interference cancellation factor of the interfering cell based on the interference angle of the interfering cell and the preset interference cancellation factor library, and simulate and calculate the interference values of multiple interference sources, and then obtain the interference values received by the target cell from the target terminal. The signal-to-noise ratio of the uplink signal. The pre-simulation stage and simulation stage are explained below.

1. Pre-simulation stage,

As shown in FIG. 5 , the method for constructing a preset interference elimination factor library provided in an embodiment of the present application may include S501 and S502 .

S501. Determine the interference elimination factors and interference angles of multiple sampling points through simulation.

The data source of the sampling point may include one or more of data source 1, data source 2, and data source 3. Data source 1 may refer to the data of strong interfering users in the uplink simultaneous slot of the target cell (also called the detected cell) when the same frame structure is adopted. Data source 2 may refer to the data of strongly interfering users in the downlink cross time slot of the target cell when the flexible frame structure is adopted. Data source 3 may refer to the data of strong interfering users in downlink cross time slots and uplink simultaneous slots of the target cell when the flexible frame structure is adopted.

The data of each sampling point may include the interference angle and interference elimination factor of the sampling point. The interference cancellation factor is greater than 0 and less than 1.

In an example, assuming that the data source is the above-mentioned data source 3, during the pre-simulation process, for each adoption point, the uplink signal received by the detected cell can be:

Among them, strong uplink may refer to strong interference terminals, and strong downlink may refer to strong interference cells. Weak uplink may refer to weak interference terminals. Weak downlink may refer to a weak interference cell. P _j represents the signal transmission power of the jth strong interfering cell. j is a positive integer. H _1j represents the channel matrix between the jth strong interfering cell and the detected cell. W _j represents the precoding matrix of the jth strong interference cell. x _j represents the normalized vector of the useful signal sent by the jth strong interfering cell. _Pm represents the signal transmission power of the mth weak interference terminal. m is a positive integer. L _mw represents the link loss between the mth weak interference terminal and the detected cell. _Pn represents the signal transmission power of the nth weak interference cell. n is a positive integer. L _nw represents the link loss between the nth weak interference cell and the detected cell.

It should be noted that the method for determining strong interference terminals and weak interference terminals may refer to the method for determining strong interference cells and weak interference cells, which will not be described again.

In a possible implementation, for the i-th strong interference terminal mentioned above, denote

The interference cancellation factor of the i-th strongly interfering terminal/> q represents the element of the qth row of C, and j represents the element of the jth column of C.

In another possible implementation, for the jth strong interference cell mentioned above, record

The interference cancellation factor of the jth strong interference cell/> q represents the element of the qth row of C, and j represents the element of the jth column of C.

In another possible implementation, as shown in Figure 6, for the i-th strong interfering cell (recorded as interfering cell end i), the interference angle of interfering cell i can be the connection between interfering cell i and the target cell and The angle between the connection line between the target cell and the target terminal.

In one example, the simulation device can take the target cell as the center point and rotate the connection between the target cell and the target terminal in a preset direction until the connection between the target cell and the target terminal coincides with the connection between the interfering cell i and the target cell. Obtain the rotation angle of the connection between the serving cell and terminal 1. The simulation device can determine the interference angle of interfering cell i based on the rotation angle. The preset direction can be set as needed, for example, it can be clockwise or counterclockwise.

For example, the interference angle of the interfering cell i satisfies the following formula 2.

Among them, θ _i represents the interference angle of interfering cell i. _αi represents the rotation angle of the connection between the serving cell and terminal 1.

In another possible implementation, as shown in Figure 7, for the j-th strongly interfering terminal (recorded as interfering terminal j), the interference angle of interfering terminal j can be the connection between interfering terminal j and the target cell and the target The angle between the connection line between the cell and the target terminal.

In one example, the simulation device can take the target cell as the center point and rotate the connection between the serving cell and the target terminal in a preset direction until the connection between the target cell and the target terminal coincides with the connection between the interfering terminal j and the target cell. Obtain the rotation angle of the line connecting the target cell and the target terminal. The simulation device can determine the interference angle of the interference terminal j based on the rotation angle.

For example, the interference angle of the interfering terminal j satisfies the following formula three.

Among them, θ _j represents the interference angle of interference terminal j. α _j represents the rotation angle of the line connecting the target cell and the target terminal.

S502: Construct a preset interference elimination factor library according to the interference elimination factors and interference angles of multiple sampling points.

The preset interference elimination factor library may include multiple interference angles and interference elimination factors corresponding to each interference angle.

In one example, the simulation device can construct a preset interference cancellation factor based on the interference cancellation factors and interference angles of the multiple sampling points determined in S501.

In another example, in order to quickly determine the interference elimination factor based on the preset interference elimination factor library, the simulation device can also divide multiple interference angles into multiple angle intervals, and determine the corresponding angle intervals for each angle interval. interference elimination factor. That is, the preset interference cancellation factor library may include multiple included angle intervals and interference cancellation factors corresponding to each included angle interval. In this way, when subsequently determining the interference cancellation factor of the interfering user based on the preset interference cancellation factor library, the angle interval corresponding to the interference angle of the interfering user can be determined first, and the interference cancellation factor corresponding to the interference angle interval is used as the interference angle interval of the interfering user. Interference cancellation factor.

Specifically, the simulation device can rasterize multiple interference angles to obtain multiple angle intervals. For example, the simulation device can use θ _step as the step size to rasterize multiple interference angles. θ _step is divisible by 180. For example, θ _step can be 5, 10, etc., without limitation. The simulation device records the dividing point Ω _i =q*θ _step . q=0, 1, 2, ..., 180/θ _step . For example, θ _step =10, then the dividing points Ω _i =0, 10, 20, ..., 180, and the angle intervals are [0, 10), [10, 20), ..., [170, 180] respectively.

In one example, as shown in Table 1, Table 1 includes interference angles and interference elimination factors of 15 sampling points.

Table 1

Furthermore, after rasterizing the interference angles of multiple sampling points to obtain multiple angle intervals, the simulation device may determine the interference elimination factor corresponding to each angle interval according to the interference elimination factors of the sampling points included in the angle interval.

In one example, if the angle interval includes interference angles of multiple sampling points, the simulation device can determine the interference cancellation factor corresponding to the angle interval based on the interference cancellation factors of the multiple sampling points. For example, the interference cancellation factor corresponding to the included angle interval may be the mean or median value of the interference cancellation factors of the multiple sampling points.

In another example, if the angle interval does not include the interference angle of the sampling point, the simulation device can determine the interference cancellation factor corresponding to the angle interval based on the interference cancellation factors of the angle intervals adjacent to the angle interval.

For example, if the angle interval is located at the edge of multiple angle intervals, the simulation device may use the interference cancellation factor of the angle interval adjacent to the angle interval as the interference cancellation factor of the angle interval.

For another example, if the included angle interval is located between multiple included angle intervals, the simulation device can determine the interference cancellation factor of the included angle interval based on the interference cancellation factors of two included angle intervals adjacent to the included angle interval.

For example, the simulation device may use the average of the interference cancellation factors of the two adjacent included angle intervals as the interference elimination factor of the included angle interval.

For another example, the simulation device can fit the interference elimination factors of the two adjacent included angle intervals to determine the interference elimination factor of the included angle interval.

Wherein, fitting the interference elimination factors of the two adjacent angle intervals means constructing a linear equation based on the interference angle and the interference elimination factor of the two adjacent angle intervals. The simulation device can calculate the interference elimination factor corresponding to the angle interval based on the linear equation and the interference angle in the angle interval.

Based on the data shown in Table 1 and the above multiple angle intervals, the interference elimination factor corresponding to each angle interval can be obtained. The interference elimination factor corresponding to each angle interval can be shown in Table 2.

Table 2

angle interval Interference elimination factor of sampling point Interference elimination factor corresponding to the angle interval [0,10) 0.21 0.21 [10,20) 0.25 0.25 [20,30) 0.24, 0.26 (0.24+0.26)/2＝0.25 [40,50) 0.35 0.35 [50,60) 0.21 0.21 [60, 70) (0.21+0.23)/0.22 [70,80) 0.23 0.23 [80,90) 0.28 0.28 [90,100) 0.25 0.25 [100,110) 0.26 [110,120) 0.27 [120,130) 0.25, 0.31 (0.25+0.31)/2=0.28 [130, 140) 0.31 0.31 [140,150) 0.35 0.35 [150,160) 0.21 0.21 [160,170) 0.23 0.23 [170,180] 0.23

It should be noted that in the above Table 2, the angle interval [100, 110) and the angle interval [100, 110) do not include the interference angle of the sampling point. Therefore, the simulation device can fit the interference elimination factor corresponding to the angle interval [90, 100) and the interference elimination factor corresponding to the angle interval [110, 120) to calculate the interference elimination factor of the angle interval [100, 110) and the angle interval [110, 120).

For example, the vector corresponding to the included angle interval [90, 100) is (90, 0.25), and the corresponding vector to the included angle interval [120, 130) is (120, 0.28). Based on these two vectors, the simulation device can construct a linear equation y=0.001x+0.16. In this way, based on the linear equation, the simulation device can calculate that the interference elimination factor corresponding to the included angle interval [100, 110) is 0.26, and the interference elimination factor corresponding to the included angle interval [110, 120) is 0.27.

Based on the above S501 and S502, in the pre-simulation stage, a preset interference elimination factor library can be constructed based on the interference angles and interference elimination factors of multiple sampling points. In this way, the interference cancellation factor of the interfering terminal can be determined quickly and conveniently based on the interference angle of the interfering terminal and the preset interference cancellation factor library.

2. Simulation stage.

As shown in Figure 8, this application provides an uplink signal detection method for a flexible frame structure simulation system. The method includes:

S801: Determine first interference values of uplink signals of multiple interfering terminals on a first uplink signal and a second interference value of noise on the first uplink signal.

Wherein, the first uplink signal is a downlink signal sent by the target cell to the target terminal. The target cell may be the serving cell in Figure 2. The target terminal may be the target terminal in Figure 2. The interfering cell may be cell 2 in Figure 2.

In one example, multiple interfering terminals can be divided into strong interfering terminals and weak interfering terminals according to the large-scale path loss between the interfering terminal and the target cell. The strong interfering terminal and the weak interfering terminal can refer to the above description and will not be repeated. Noise can refer to interference signals other than the interfering cell and the interfering terminal.

The first interference value may be the sum of the interference value of the uplink signal of the strong interference terminal to the first uplink signal and the interference value of the uplink signal of the weak interference terminal to the first uplink signal.

In one example, the simulation device can calculate the effect of the uplink signal of the strong interference terminal on the first uplink signal based on the signal transmission power of the strong interference terminal, the channel matrix between the target cell and the strong interference terminal, and the precoding matrix of the strong interference terminal. interference value.

For example, the interference value of the uplink signal of a strongly interfering terminal to the first uplink signal can satisfy Formula 4.

Bq＝∑ _{i∈Downward strong∑ j} P _i |DH _1g W _i | ² Formula 4

Wherein, Bq represents the interference value of the uplink signal of the strongly interfering terminal to the first uplink signal. _Pi represents the signal transmission power used by the i-th strongly interfering terminal to send uplink signals. H _1g represents the channel matrix between the i-th strong interference terminal and the target cell. _Wi represents the precoding matrix of the i-th strongly interfering terminal. j is the number of strong interference terminals, i and j are positive integers, and i≤j.

In another example, the simulation device can calculate the interference value of the uplink signal of the weak interference terminal to the first uplink signal based on the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal.

Among them, the link loss between the target cell and the weak interference terminal L _ug =PL _ug -G _g -G _u . _PLug represents large-scale path loss. G _u represents the antenna gain of the weakly interfering terminal. G _g represents the antenna gain of the target cell. The calculation method of antenna gain can refer to the existing technology.

For example, the interference value of the uplink signal of the weakly interfering terminal to the first uplink signal can satisfy Formula 5.

Br＝∑ _{i∈Upward weak} ∑ _j |D| ² P _w /L _ug Formula 5

Among them, Br represents the interference value of the uplink signal of the i-th weak interference terminal to the first uplink signal. _Pw represents the signal transmission power used by the i-th weak interference terminal to send uplink signals. j is the number of weak interference terminals, i and j are positive integers, and i≤j.

It should be noted that, when there are multiple strong interference terminals and weak interference terminals, the interference value of the strong interference terminal to the first uplink signal may refer to the sum of the interference values of multiple strong interference terminals to the first uplink signal. The interference value of the weak interference terminal to the first uplink signal may refer to the sum of the interference values of multiple weak interference terminals to the first uplink signal.

In another example, the second interference value of the noise to the first uplink signal can satisfy Formula 6.

B2＝∑ _j |D| ² σ ² Formula 6

Among them, B2 represents the second interference value. j is the amount of noise. j is a positive integer.

S802: Determine an interference angle of the interfering cell, and determine an interference cancellation factor of the interfering cell according to the interference angle of the interfering cell and a preset interference cancellation factor library.

Among them, the small row signal sent by the interfering cell may interfere with the first uplink signal. For example, the interfering cell may be the interfering cell in Figure 2.

The method for determining the interference angle of the interfering cell can refer to the above-mentioned figure 7 and will not be described again. The preset interference cancellation library can refer to the above description and will not be described again.

In a possible implementation, after determining the interference angle of the interfering cell, the simulation device can determine the angle interval corresponding to the interference angle, and use the interference cancellation factor corresponding to the angle interval as the interference cancellation factor of the interfering terminal. .

For example, as shown in Figure 7 above, the simulation equipment determines that the interference angle of the interfering cell is 35°. Based on the above Table 2, the angle interval corresponding to the interference angle of the interfering cell is [40, 50), and the interference cancellation factor of the interfering cell is 0.35.

S803. Calculate the third interference value of the downlink signal of the interfering cell on the first uplink signal according to the interference cancellation factor of the interfering cell, the signal transmission power of the interfering cell, and the link loss between the interfering cell and the target cell.

The downlink signal of the interfering cell may refer to a downlink signal sent by the interfering cell to the terminal served by the interfering cell, and the time slot used by the interfering cell to send the downlink signal is the same as the time slot used by the target terminal to send the first uplink signal. The interfering cell may also be called a cross-interference cell.

Among them, the link loss between the interfering cell and the target cell is L _1i =PL _ui -G _g -G _i . PL _ui represents the large-scale path loss between the target cell and the interfering cell. G _i represents the antenna gain of the interfering cell.

In one example, the third interference value satisfies Formula 7.

B3＝∑ _{i∈Downstream} ηP _i /L _1i Formula 7

Wherein, B3 represents the third interference value. η represents the interference elimination factor of the interfering cell. _{P i} represents the signal transmission power used by the interfering cell to send the downlink signal.

S804. Determine the signal-to-noise ratio of the first uplink signal based on the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

The signal strength of the first uplink signal may refer to the signal strength of the uplink signal from the target terminal received by the target cell.

In one example, the first uplink signal received by the target cell from the target terminal may be an uplink signal sent by the terminal to the target cell in response to an input instruction in a simulation environment. Accordingly, in the same simulation environment, the target cell may receive the first uplink signal from the target terminal.

It should be noted that in the embodiment of the present application, the target cell, the interfering cell, the target terminal, and the interfering terminal are all in the same simulation environment. The interaction between cells and the signal interaction between cells and terminals are all simulated signal interactions. The signals between the target cell and the target terminal, and the signals between the interfering cell and the interfering terminal are all analog signals. The analog signal may be generated by the emulated device in response to input instructions. In this way, the simulation device can obtain the signals sent and received by each cell and each terminal.

Furthermore, after the target cell receives the uplink signal from the target terminal, it needs to perform linear detection to obtain the original uplink signal (that is, the first uplink signal).

In one example, in order to obtain the original uplink signal, the simulation device can establish a channel matrix between the target terminal and the target cell through simulation, and obtain the precoding matrix of the target terminal. Then, the simulation device can determine the signal when the uplink signal sent by the target terminal reaches the target cell based on the channel matrix H _1s between the target terminal and the target cell and the precoding matrix of the target terminal. Furthermore, the simulation device can perform linear detection on the signal to obtain the first uplink signal from the target terminal received by the target cell.

The method for establishing the channel matrix between the target terminal and the target cell may refer to the existing technology and will not be described again. The precoding matrix W ₁ of the target terminal may be preconfigured for the target terminal, and the precoding matrix is related to the antenna configuration information of the target terminal. Alternatively, the precoding matrix of the target terminal may be configured for the target terminal through simulation.

For example, the signal when the uplink signal sent by the target terminal reaches the target cell can be The simulation device can linearly detect the signal according to the preset detection algorithm or preset detection matrix to obtain the uplink signal from the target terminal received by the target cell. For example, the linear matrix can be the above-mentioned detection matrix D. Then the downlink signal received by the target cell from the target terminal is/>

Further, after obtaining the first uplink signal from the target terminal received by the target cell, the simulation device may determine the signal strength of the first uplink signal according to the first uplink signal.

Among them, the signal strength of the first uplink signal satisfies Formula 8.

S1＝P|DH _1s W ₁ | 2Formula ⁸

Where, S1 is the signal strength of the first uplink signal from the target terminal received by the target cell, and P is the signal transmission power used by the target terminal to send the uplink signal to the target cell.

In one example, the signal-to-noise ratio of the first uplink signal satisfies Formula 9.

SINR＝S1/(S1+B1+B2+B3) Formula 9

Among them, SINR is the signal-to-noise ratio of the first uplink signal.

Based on the technical solution shown in Figure 8, when the terminal uses a flexible frame structure to send uplink signals to the cell, the uplink signal from the terminal received by the cell may be interfered by the downlink signal of the adjacent cell and the uplink signal of the terminal. Therefore, in the embodiment of the present application, the interference value (also known as interference value) of multiple interference sources that interfere with the uplink signal from the terminal received by the cell (such as downlink signal interfering with the cell, noise, uplink signal interfering with the terminal, etc.) It can be called interference power) and calculates the signal-to-noise ratio of the uplink signal from the terminal received by the cell. Since the signal-to-noise ratio of a signal can reflect the signal quality of the signal, the technical solution provided by the embodiments of the present application can comprehensively and accurately evaluate the signal quality of the uplink signal received by the cell.

In a possible embodiment, as shown in Figure 9, this embodiment of the present application provides an uplink signal detection method for a flexible frame structure simulation system, which method includes S901 to S910.

S901. Establish a channel matrix between the target terminal, the target cell, and the strong interference cell.

Among them, S901 may refer to the description of S804 above and will not be described again.

S902. Calculate the link loss between the target cell and each interfering cell.

Among them, S902 can refer to the description of S802 above and will not be elaborated herein.

S903. Determine a cell that uses the same time slot resources as the target cell.

Among them, the cells that use the same time slot resources as the target cell are interfering cells.

In a possible implementation, the simulation device can determine the cell that uses the same time slot resources as the target cell based on the time slot resources configured by the simulation system for each cell. The time slot resource may refer to the uplink time slot resource. That is, when the target cell uses uplink time slot resources to receive uplink signals at a certain time, the interfering cell also uses the same uplink time slot resources to receive uplink signals at that time.

S904. When the interfering cell uses downlink time slot resources, use the interfering cell as a cross-interfering cell.

S905. Construct a preset interference elimination factor library.

Among them, S905 can refer to the above-mentioned S501 and S502 and will not be described in detail.

S906. Determine the interference cancellation factor of the cross-interference cell according to the preset interference cancellation factor library.

For S906, reference may be made to the description of S802 above, which will not be described again.

S907. When the interfering cell does not use downlink time slot resources, determine whether the target cell establishes a channel matrix with the terminal served by the interfering cell.

Wherein, the interfering cell does not use downlink time slot resources means that the interfering cell does not currently send downlink signals.

In a possible implementation, the simulation device can determine and identify strong interference terminals and weak interference terminals at the beginning of the simulation. In this way, the simulation device can determine whether the target cell has established a channel matrix with the interfering terminal based on the identity of the interfering terminal.

S908. When the target cell and the interfering terminal establish a channel matrix, the interfering terminal is regarded as a strong interfering terminal.

S909. When the target terminal and the interfering terminal do not establish a channel matrix, the small interfering terminal is regarded as a weak interfering terminal.

S910. Calculate the signal-to-noise ratio of the uplink signal received by the target cell.

Among them, S910 can refer to the description of S804 above and will not be described in detail.

Based on the technical solution shown in Figure 9, when the terminal uses a flexible frame structure to send uplink signals to the cell, the uplink signal from the terminal received by the cell may be interfered by the downlink signal of the adjacent cell and the uplink signal of the terminal. Therefore, in the embodiment of the present application, the interference value (also known as interference value) of multiple interference sources that interfere with the uplink signal from the terminal received by the cell (such as downlink signal interfering with the cell, noise, uplink signal interfering with the terminal, etc.) It can be called interference power) and calculates the signal-to-noise ratio of the uplink signal from the terminal received by the cell. Since the signal-to-noise ratio of a signal can reflect the signal quality of the signal, the technical solution provided by the embodiments of the present application can comprehensively and accurately evaluate the signal quality of the uplink signal received by the cell.

The various solutions in the above-mentioned embodiments of the present application can be combined as long as there is no contradiction.

The embodiment of the present application can divide the signal detection device into functional modules or functional units according to the above method example. For example, each functional module or functional unit can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules or functional units. Among them, the division of modules or units in the embodiment of the present application is schematic, which is only a logical function division, and there may be other division methods in actual implementation.

In the case where each functional module is divided according to each function, FIG. 10 shows a schematic structural diagram of a signal detection device 100. The signal detection device 100 can be used to perform the functions related to the simulation device in the above embodiment. The signal detection device 100 shown in FIG. 10 may include: a determination unit 1001 and a processing unit 1002.

The determining unit 1001 is configured to determine a first interference value of the uplink signals of multiple interfering terminals on the first uplink signal and a second interference value of noise on the first uplink signal.

The determination unit 1001 is also used to determine the interference angle of the interfering cell, and determine the interference elimination factor of the interfering cell based on the interference angle and a preset interference elimination factor library, wherein the interference angle is the angle between the line between the target terminal and the target cell and the line between the interfering cell and the target cell, and the preset interference elimination factor library includes multiple interference angles and interference elimination factors corresponding to each interference angle, and the interference elimination factor of the interfering cell is used to characterize the degree of interference of the downlink signal sent by the interfering cell on the first uplink signal.

The processing unit 1002 is configured to calculate the third effect of the downlink signal of the interfering cell on the first uplink signal based on the interference cancellation factor of the interfering cell, the signal transmission power of the downlink signal sent by the interfering cell, and the link loss between the interfering cell and the target cell. interference value.

The processing unit 1002 is further configured to determine a signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value.

In a possible implementation, the multiple interfering terminals include strong interfering terminals and weak interfering terminals, a large-scale path loss between the strong interfering terminal and the target cell is greater than or equal to a preset threshold, and a large-scale path loss between the weak interfering terminal and the target cell is less than the preset threshold.

The determination unit 1001 is specifically configured to: calculate the effect of the uplink signal of the strong interference terminal on the first uplink signal according to the signal transmission power of the strong interference terminal, the channel matrix between the target cell and the strong interference terminal, and the precoding matrix of the strong interference terminal. Interference value; According to the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal, calculate the interference value of the uplink signal of the weak interference terminal to the first uplink signal. The first interference value includes: the uplink signal of the strong interference terminal The interference value of the signal to the first uplink signal and the interference value of the uplink signal of the weakly interfering terminal to the first uplink signal.

In a possible implementation, the determining unit 1001 is specifically configured to: use the location information of the target cell as the center point, rotate the connection between the target terminal and the target cell in a preset direction, so that the rotated target terminal is connected to the target cell. The connection line coincides with the connection line between the interfering cell and the target cell; according to the rotation angle of the connection between the target terminal and the target cell, the interference angle of the interfering cell is determined. The interference angle is greater than or equal to 0° and less than or equal to 180°.

In a possible implementation, the determination unit 1001 is also used to determine the interference elimination factors and interference angles of multiple sampling points through simulation; the processing unit 1002 is also used to rasterize the multiple interference angles to obtain Multiple included angle intervals; the determining unit 1001 is also used to rasterize multiple interference included angles to obtain multiple included angle intervals. The determination unit 1001 is specifically configured to determine the target angle interval corresponding to the interference angle of the interfering terminal among the multiple angle intervals in the preset interference cancellation factor library, and use the interference cancellation factor corresponding to the target angle interval as the interference Interference cancellation factor of the terminal.

In a possible implementation, the determination unit 1001 is specifically configured to: for any included angle interval among multiple included angle intervals, calculate the mean value of the interference cancellation factor of one or more sampling points corresponding to the included angle interval, As the interference elimination factor corresponding to the included angle interval; when there is a first included angle interval among multiple included angle intervals, the third included angle interval is determined based on the interference elimination factor corresponding to the included angle interval adjacent to the first included angle interval. The interference elimination factor corresponding to an included angle interval. There is no interference included angle of the adopted point in the first included angle interval.

In one possible implementation, the determination unit 1001 is specifically used to: for any angle interval among multiple angle intervals, use the average of the interference elimination factors of one or more sampling points corresponding to the angle interval as the interference elimination factor corresponding to the angle interval; when there is a first angle interval among the multiple angle intervals, determine the interference elimination factor corresponding to the first angle interval based on the interference elimination factors corresponding to the angle intervals adjacent to the first angle interval, and there is no interference angle of the sampling point in the first angle interval.

In a possible implementation, the signal-to-noise ratio of the first uplink signal satisfies a preset formula, and the second formula is: SINR=S1/(S1+B1+B2+B3); where SINR is the signal-to-noise ratio of the first uplink signal. Noise ratio, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value.

As yet another possible implementation, the processing unit 1002 in FIG. 10 may be replaced by a processor, which may integrate the functionality of the processing unit 1002 .

Further, when the processing unit 1002 is replaced by a processor, the signal detection device 100 involved in the embodiment of the present application may be the signal detection device shown in FIG. 3 .

An embodiment of the present application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in the above computer-readable storage medium. When executed, the program can include the processes of the above method embodiments. . The computer-readable storage medium may be an internal storage unit of the signal detection device (including the data sending end and/or the data receiving end) of any of the foregoing embodiments, such as the hard disk or memory of the signal detection device. The computer-readable storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, a smart media card (SMC), or a secure digital (SD) card equipped on the terminal device. Flash card, etc. Further, the above computer-readable storage medium may also include both the internal storage unit of the above signal detection device and an external storage device. The above computer-readable storage medium is used to store the above computer program and other programs and data required by the above signal detection device. The above-mentioned computer-readable storage media can also be used to temporarily store data that has been output or is to be output.

It should be noted that the terms “first” and “second” in the description, claims and drawings of this application are used to distinguish different objects, rather than describing a specific sequence. Furthermore, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes Other steps or units inherent to such processes, methods, products or devices.

It should be understood that in this application, "at least one (item)" refers to one or more, "plurality" refers to two or more, and "at least two (items)" refers to two or three and three or more, "and/or" is used to describe the relationship between associated objects, indicating that there can be three relationships. For example, "A and/or B" can mean: only A exists, only B exists, and A exists at the same time. and B, where A and B can be singular or plural. The character "/" generally indicates that the related objects are in an "or" relationship. “At least one of the following” or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items). For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c" ”, where a, b, c can be single or multiple.

Through the above description of the embodiments, those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated as needed. It is completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components may be The combination can either be integrated into another device, or some features can be omitted, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated. The components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place, or they may be distributed to multiple different places. . Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or software functional units.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application are essentially or contribute to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the software product is stored in a storage medium , including several instructions to cause a device (which can be a microcontroller, a chip, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage media include: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be covered by the protection scope of the present application. . Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims (14)

1. An uplink signal detection method of a flexible frame structure simulation system, characterized in that the flexible frame structure simulation system includes a target cell and an interfering cell, and the interfering cell is a cell in which downlink signals interfere with the first uplink signal, The first uplink signal is a signal sent by the target terminal received by the target cell, and the target cell is the serving cell of the target terminal. The method includes: Determine the interference elimination factors and interference angles of multiple sampling points through simulation; Rasterizing the multiple interference angles to obtain multiple angle intervals; Determine the interference elimination factor corresponding to each included angle interval in the multiple included angle intervals, and construct the interference elimination factor library based on the multiple included angle intervals and the interference elimination factor corresponding to each included angle interval; Determine the first interference value of the uplink signals of multiple interfering terminals to the first uplink signal and the second interference value of noise to the first uplink signal; the interfering terminal is the transmitted uplink signal to the first uplink signal. Terminals that cause signal interference; Determine the interference angle of the interfering cell, and determine the interference cancellation factor of the interfering cell based on the interference angle and the preset interference elimination factor library; , determining the interference cancellation factor of the interfering cell, including: determining a target angle interval corresponding to the interference angle, and using the interference cancellation factor corresponding to the target angle interval as the interference cancellation factor of the interfering cell; The target angle interval is one of multiple angle intervals in the preset interference elimination factor library, the interference angle is the angle between the line between the target cell and the interference cell and the line between the interference terminal and the target cell, the preset interference elimination factor library includes multiple interference angles and interference elimination factors corresponding to each interference angle, and the interference elimination factor of the interference terminal is used to characterize the degree of interference of the downlink signal sent by the interfering cell on the first uplink signal; Calculate, according to the interference cancellation factor of the interfering cell, the signal transmission power of the interfering cell, and the link loss between the interfering cell and the target cell, a third interference value of the downlink signal of the interfering cell to the first uplink signal; the third interference value=∑ _{i∈downlinkηP i} /L _1i ; wherein η represents the interference cancellation factor of the interfering cell, and P _i represents the signal transmission power used by the interfering cell to send the downlink signal; The signal-to-noise ratio of the first uplink signal is determined according to the signal strength of the first uplink signal, the first interference value, the second interference value and the third interference value. 2. The method according to claim 1, characterized in that the plurality of interfering terminals include strong interfering terminals and weak interfering terminals, and the strong interfering terminal is between the multiple interfering terminals and the target cell. An interfering cell whose large-scale path loss is greater than or equal to a preset threshold, and the weak interference terminal is an interfering terminal whose large-scale path loss between the multiple interfering terminals and the target cell is less than the preset threshold, Determining the first interference value of the uplink signals of multiple interfering terminals on the first uplink signal includes: According to the signal transmission power of the strong interference terminal, the channel matrix between the target cell and the strong interference terminal, and the precoding matrix of the strong interference terminal, calculate the effect of the uplink signal of the strong interference terminal on the third - the interference value of the uplink signal; According to the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal, the interference value of the uplink signal of the weak interference terminal to the first uplink signal is calculated. The interference value includes: the interference value of the uplink signal of the strong interference terminal on the first uplink signal and the interference value of the downlink signal of the weak interference cell on the first uplink signal. 3. The method according to claim 1 or 2, characterized in that determining the interference angle of the interfering cell includes: Taking the location information of the target cell as the center point, rotate the connection between the target terminal and the target cell according to a preset direction, so that the rotated connection between the target terminal and the target cell is consistent with the The connection between the interfering cell and the target cell coincides; The interference angle of the interfering cell is determined according to the rotation angle of the connection between the target terminal and the target cell, and the interference angle is greater than or equal to 0° and less than or equal to 180°. 4. The method according to claim 1, characterized in that the step of determining the interference elimination factor corresponding to each angle interval in the plurality of angle intervals comprises: For any included angle interval among the plurality of included angle intervals, the mean value of the interference cancellation factors of one or more sampling points corresponding to the included angle interval is used as the interference elimination factor corresponding to the included angle interval; When there is a first angle interval among the multiple angle intervals, the interference elimination factor corresponding to the first angle interval is determined according to the interference elimination factors corresponding to the angle intervals adjacent to the first angle interval, and there is no interference angle of the sampling point in the first angle interval. 5. The method of claim 4, wherein the interference cancellation factor corresponding to the first angle interval is determined based on the interference cancellation factor corresponding to the angle interval adjacent to the first angle interval. factors, including: If the first angle interval is located at the edge of the multiple angle intervals, the angle interval adjacent to the first angle interval is used as the interference elimination factor of the first angle interval; If there are two adjacent included angle intervals in the first included angle interval and the two adjacent included angle intervals have corresponding interference cancellation factors, then the interference corresponding to the two adjacent included angle intervals is The mean value of the elimination factor is used as the interference elimination factor corresponding to the first included angle interval; If there are multiple adjacent first included angle intervals in the multiple included angle intervals, fit the included angle intervals with corresponding interference elimination factors among the multiple included angle intervals to determine the multiple phase angle intervals. The interference elimination factor corresponding to each first included angle interval in adjacent first included angle intervals. 6. The method according to any one of claims 1, 2, 4 or 5, characterized in that the signal-to-noise ratio satisfies a preset formula, and the preset formula is: SINR=S1/(S1+B1+B2+B3); Wherein, SINR is the signal-to-noise ratio of the first uplink signal, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value. Three interference values. 7. A signal detection device for a flexible frame structure simulation system, characterized in that the flexible frame structure simulation system includes a service cell and an interference cell of a target terminal, the interference cell is a cell where a downlink signal interferes with a first uplink signal, the first uplink signal is a signal sent by the target cell to the target terminal, the target cell is a service cell of the target terminal, and the device includes a determination unit and a processing unit; The determination unit is used to determine the interference elimination factors and interference angles of multiple sampling points through simulation; The processing unit is also used to rasterize multiple interference angles to obtain multiple angle intervals; The determining unit is also used to determine the interference elimination factor corresponding to each included angle interval in the plurality of included angle intervals, and construct a calculation based on the multiple included angle intervals and the interference elimination factor corresponding to each included angle interval. The interference elimination factor library; the determination unit is also used to determine the first interference value of the uplink signals of multiple interfering terminals on the first uplink signal and the second interference value of noise on the first uplink signal; The interfering terminal is a terminal whose transmitted uplink signal interferes with the first uplink signal; The determining unit is also used to determine the interference angle of the interfering cell, and determine the interference elimination factor of the interfering cell according to the interference angle and the preset interference elimination factor library; the processing unit is specifically used In: determining the target angle interval corresponding to the interference angle, and using the interference elimination factor corresponding to the target angle interval as the interference elimination factor of the interference cell; Wherein, the target included angle interval is one of multiple included angle intervals in the preset interference cancellation factor library, and the interference included angle is the connection between the target cell and the interfering cell and the interfering terminal. The angle between the connection line with the target cell, the preset interference cancellation factor library includes a plurality of interference angles and interference cancellation factors corresponding to each interference angle, and the interference cancellation factor of the interfering terminal is used to Characterizes the degree of interference to the first uplink signal by the downlink signal sent by the interfering cell; The processing unit is configured to calculate the downlink signal of the interfering cell based on the interference cancellation factor of the interfering cell, the signal transmission power of the interfering cell, and the link loss between the interfering cell and the target cell. The third interference value to the first uplink signal; the third interference value = ∑ _i∈downlink etaP _i /L _1i ; where η represents the interference cancellation factor of the interfering cell, and P _i represents the interfering cell The signal transmission power used to send downlink signals; The processing unit is further configured to determine a signal-to-noise ratio of the first uplink signal according to the signal strength of the first uplink signal, the first interference value, the second interference value, and the third interference value. 8. The device according to claim 7, characterized in that the multiple interference terminals include strong interference terminals and weak interference terminals, the strong interference terminal is an interference cell among the multiple interference terminals whose large-scale path loss with the target cell is greater than or equal to a preset threshold, the weak interference terminal is an interference terminal among the multiple interference terminals whose large-scale path loss with the target cell is less than the preset threshold, and the determining unit is specifically used to: Calculate, according to the signal transmission power of the strong interference terminal, the channel matrix between the target cell and the strong interference terminal, and the precoding matrix of the strong interference terminal, the interference value of the uplink signal of the strong interference terminal to the first uplink signal; According to the signal transmission power of the weak interference terminal and the link loss from the target cell to the weak interference terminal, the interference value of the uplink signal of the weak interference terminal to the first uplink signal is calculated. The interference value includes: the interference value of the uplink signal of the strong interference terminal on the first uplink signal and the interference value of the downlink signal of the weak interference cell on the first uplink signal. 9. The device according to claim 7 or 8, characterized in that the determining unit is specifically used to: Taking the location information of the target cell as the center point, rotating the line between the target terminal and the target cell in a preset direction so that the line between the target terminal and the target cell after rotation coincides with the line between the interference cell and the target cell; The interference angle of the interfering cell is determined according to the rotation angle of the connection between the target terminal and the target cell, and the interference angle is greater than or equal to 0° and less than or equal to 180°. 10. The device according to claim 7 or 8, characterized in that the determining unit is specifically used to: For any angle interval among the multiple angle intervals, taking the average of the interference elimination factors of one or more sampling points corresponding to the angle interval as the interference elimination factor corresponding to the angle interval; When there is a first included angle interval in the plurality of included angle intervals, determine the first included angle interval corresponding to the interference elimination factor corresponding to the included angle interval adjacent to the first included angle interval. Interference elimination factor, there is no interference angle of the sampling point in the first angle interval. 11. The device according to claim 10, characterized in that the determining unit is specifically configured to: If the first included angle interval is located at the edge of the plurality of included angle intervals, then the included angle interval adjacent to the first included angle interval is used as the interference elimination factor of the first included angle interval; If there are two adjacent angle intervals in the first angle interval and the two adjacent angle intervals have corresponding interference elimination factors, then the average of the interference elimination factors corresponding to the two adjacent angle intervals is used as the interference elimination factor corresponding to the first angle interval; If there are multiple adjacent first included angle intervals in the multiple included angle intervals, fit the included angle intervals with corresponding interference elimination factors among the multiple included angle intervals to determine the multiple phase angle intervals. The interference elimination factor corresponding to each first included angle interval in adjacent first included angle intervals. 12. The device according to any one of claims 7, 8, 10 or 11, characterized in that the signal-to-noise ratio satisfies a preset formula, and the preset formula is: SINR=S1/(S1+B1+B2+B3); Wherein, SINR is the signal-to-noise ratio of the first uplink signal, S1 is the signal strength of the first uplink signal, B1 is the first interference value, B2 is the second interference value, and B3 is the third interference value. Three interference values. 13. A computer-readable storage medium, characterized in that instructions are stored in the readable storage medium, and when the instructions are executed, the method according to any one of claims 1-6 is implemented. 14. A signal detection device, characterized in that it includes: a processor, a memory and a communication interface; wherein the communication interface is used to communicate between the signal detection device and other devices or networks; the memory is used to store one or more Program, the one or more programs include computer-executable instructions, and when the signal detection device is run, the processor executes the computer-executable instructions stored in the memory, so that the signal detection device performs claims 1-6 any of the methods described.