CN114158086B - Cell interference evaluation method, communication device, computing equipment and storage medium - Google Patents

Abstract

This application provides a cell interference assessment method, communication device, computing device and storage medium, which relate to the field of communication technology and can determine SINR simply and quickly. The method includes: obtaining the MR of the terminal equipment and the network management data of the access network equipment; determining the signal to interference plus noise ratio SINR corresponding to the MR based on the MR and network management data; and evaluating the interference of the main serving cell based on the SINR corresponding to the MR. The embodiment of this application is used in the process of cell interference assessment based on MR.

Description

Cell interference assessment method, communication device, computing device and storage medium

Technical field

The present application relates to the field of communication technology, and in particular, to a cell interference assessment method, communication device, computing device and storage medium.

Background technique

Currently, in order to evaluate the service quality of a cell and better optimize the network of the cell, it is necessary to evaluate the interference of the cell. The signal to interference plus noise ratio (SINR) is a commonly used cell interference evaluation index. . SINR refers to the ratio of the strength of the useful downlink signal received by the terminal equipment to the sum of the strength of the downlink interference signal received by the terminal equipment and the noise of the access network equipment corresponding to the terminal equipment. SINR can effectively reflect the degree of interference to the primary serving cell of the terminal device.

The current method for determining SINR is generally interference signal simulation. Interference signal simulation refers to simulating various indicators of the network (for example, network load), and then determining SINR through the above indicators. However, interference signal simulation is more complex and has many restrictions on scenarios, and through interference signal simulation This method is less efficient in determining SINR.

Contents of the invention

Embodiments of the present application provide a cell interference assessment method, communication device, computing device and storage medium, which can determine SINR simply and quickly.

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

In the first aspect, a cell interference assessment method is provided. The method includes: obtaining the measurement result (MR) of the terminal equipment and the network management data of the access network equipment; determining the signal to interference plus noise ratio corresponding to the MR based on the MR and network management data. SINR; According to the SINR corresponding to the MR, the interference of the primary serving cell of the terminal device is evaluated.

The above technical solution at least brings the following beneficial effects: The cell interference assessment method provided by this application can directly use the data in the MR and the network management data of the access network equipment (ie, network management data) to determine the SINR. Since the data in MR and network management data are real-time, determining SINR based on MR and network management data can also improve the accuracy of SINR, so that the SINR can more realistically reflect the current network situation of the terminal device. In addition, the cell interference assessment method provided by this application can also avoid manual field surveys to obtain the above data, thereby reducing labor costs and improving the efficiency of SINR determination.

In a possible implementation, the MR includes at least one of the reference signal receiving power (RSRP) of the main serving cell and the RSRP of at least one neighboring cell of the main serving cell; the network management data includes the RSRP of the main serving cell. At least one of the average downlink physical resource block (PRB) utilization of the coverage area and the equipment noise floor value of the access network equipment corresponding to the primary serving cell.

In a possible implementation, the average downlink PRB utilization includes a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period. At least one; in the case where the MR is an MR reported within the first preset time period, the interference signal power of the SINR is determined based on the first average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell; in the MR In the case of MR reported within the second preset time period, the interference signal power of the SINR is determined based on the second average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell.

In a possible implementation, when the MR is the MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, I is the interference signal power of SINR; PRB ₁ is the first average downlink PRB utilization; RSRP _k is the RSRP of the k-th neighboring cell in at least one neighboring cell; N is the number of at least one neighboring cell; k, N are A positive integer, and k is less than or equal to N; when the MR is the MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, PRB ₂ is the second average downstream PRB utilization.

In a possible implementation, when the MR is an MR reported within the first preset time period, the SINR corresponding to the MR satisfies the following formula:

Among them, the RSRP _{of the main serving cell} is the RSRP of the main serving cell; the PN is the equipment noise floor value of the access network equipment corresponding to the main serving cell; when the MR is the MR reported within the second preset time period, the MR corresponds to The SINR satisfies the following formula:

In a possible implementation manner, at least one neighboring cell is the M neighboring cells with the largest RSRP value among all neighboring cells of the main serving cell; M is a positive integer.

In a second aspect, this application provides a communication device, which includes: a communication unit and a processing unit; a communication unit for obtaining the measurement report MR of the terminal device and the network management data of the access network device; and a processing unit for obtaining the measurement report MR of the terminal device and the network management data of the access network device; and network management data to determine the signal to interference plus noise ratio SINR corresponding to the MR; the processing unit is also used to evaluate the interference of the main serving cell of the terminal device based on the SINR corresponding to the MR.

In a possible implementation, the MR includes at least one of the RSRP of the main serving cell and the RSRP of at least one neighboring cell of the main serving cell; the network management data includes the average downlink PRB utilization of the coverage area of the main serving cell, and At least one of the device noise floor values of the access network device corresponding to the primary serving cell.

In a possible implementation, the average downlink PRB utilization includes a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period. At least one; in the case where the MR is an MR reported within the first preset time period, the interference signal power of the SINR is determined based on the first average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell; in the MR In the case of MR reported within the second preset time period, the interference signal power of the SINR is determined based on the second average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell.

In a possible implementation, when the MR is the MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, I is the interference signal power of SINR; PRB ₁ is the first average downlink PRB utilization; RSRP _k is the RSRP of the k-th neighboring cell in at least one neighboring cell; N is the number of at least one neighboring cell; k, N are A positive integer, and k is less than or equal to N; when the MR is the MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, PRB ₂ is the second average downstream PRB utilization.

In a possible implementation, when the MR is an MR reported within the first preset time period, the SINR corresponding to the MR satisfies the following formula:

Among them, the RSRP _{of the main serving cell} is the RSRP of the main serving cell; the PN is the equipment noise floor value of the access network equipment corresponding to the main serving cell; when the MR is the MR reported within the second preset time period, the MR corresponds to The SINR satisfies the following formula:

In a possible implementation manner, at least one neighboring cell is the M neighboring cells with the largest RSRP value among all neighboring cells of the main serving cell; M is a positive integer.

In a third aspect, the present application provides a communication device, which includes: a processor and a communication interface; the communication interface is coupled to the processor, and the processor is used to run computer programs or instructions to implement the first aspect and the first aspect; The cell interference assessment method is described in any possible implementation.

In a fourth aspect, the present application provides a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are run on a terminal, the terminal causes the terminal to perform the first aspect and any of the possibilities of the first aspect. The cell interference assessment method described in the implementation.

In a fifth aspect, the present application provides a computer program product containing instructions. When the computer program product is run on a communication device, the communication device causes the communication device to execute as described in the first aspect and any possible implementation manner of the first aspect. Cell interference assessment method.

In a sixth aspect, the present application provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run computer programs or instructions to implement the first aspect and any possibility of the first aspect. The cell interference assessment method described in the implementation.

Specifically, the chip provided in this application also includes a memory for storing computer programs or instructions.

Description of the drawings

Figure 1 is a structural diagram of a communication system provided by an embodiment of the present application;

Figure 2 is a flow chart of a cell interference assessment method provided by an embodiment of the present application;

Figure 3 is a flow chart of another cell interference assessment method provided by an embodiment of the present application;

Figure 4 is a schematic structural diagram of a communication device provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of another communication device provided by an embodiment of the present application.

Detailed ways

The cell interference assessment method and device provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

The term "and/or" in this article is just an association relationship that describes related objects, indicating that three relationships can exist. For example, A and/or B can mean: A exists alone, A and B exist simultaneously, and they exist alone. B these three situations.

The terms “first” and “second” in the description of this application and the drawings are used to distinguish different objects, or to distinguish different processes on the same object, rather than to describe a specific order of objects.

Furthermore, references to the terms "including" and "having" and any variations thereof in the description of this application 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 other unlisted steps or units, or optionally also Includes other steps or units that are inherent to such processes, methods, products, or devices.

It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

In the description of this application, unless otherwise stated, the meaning of "plurality" means two or more.

In the following, nouns involved in the embodiments of this application are explained to facilitate readers' understanding.

1. SINR

SINR refers to the ratio of the strength of the useful downlink signal received by the terminal equipment to the sum of the strength of the downlink interference signal received by the terminal equipment and the noise of the access network equipment corresponding to the terminal equipment.

In the current long term evolution (LTE) and 5G networks, the scale of the network continues to expand and the network structure becomes more complex, which will lead to greater interference between cells. If the interference between cells becomes larger, the data transmission rate and data transmission quality of the terminal equipment will continue to decrease. The data transmission rate and data transmission quality of the above terminal equipment can be affected by the following indicators: SINR, channel quality indicator (channel quanlityindicator, CQI), modulation and coding scheme (modulation and coding scheme, MCS) index value, channel sounding reference signal ( sounding reference signal (SRS), rank indication (RI), and terminal equipment level. Among them, SINR is one of the most important indicators that affects the data transmission rate and data transmission quality of terminal equipment.

Currently, there is no specific definition of SINR in communication protocols (eg, the 3rd Generation Partner Project (3GPP) protocol). The usual expression of SINR is as shown in Equation 1 below:

Among them, signal (referred to as S) refers to the power of the useful signal received by the terminal device.

It should be noted that the above useful signal may be a reference signal (RS) received by the terminal device, or may be a signal received by the terminal device from the physical downlink shared channel (PDSCH).

Interference (abbreviated as I) refers to the power of the interference signal received by the terminal device.

The above-mentioned interference signals include interference from other cells in the same system and interference from cells in other systems.

Noise (N for short) refers to the equipment noise floor value of the access network equipment connected to the terminal equipment.

It should be noted that in the 5G network, SINR can also be called secondary synchronization-SINR (secondary synchronization-SINR, SS-SINR). SS-SINR refers to the ratio of the signal strength of the secondary synchronization signal (SSS) received by the terminal device and the signal strength of the interference signal received by the terminal device.

2. Equipment noise floor

Equipment noise floor refers to the thermal noise generated by equipment during normal operation.

The calculation formula of the equipment noise floor is as shown in the following formula 2:

PN = 10×lg(KTW)+NF Formula 2

Among them, K refers to Boltzmann's constant. Under no-load condition, K is 1.38×10 ^-23 J/K.

T refers to the temperature in Kelvin. Under no load condition, T is 290K.

W refers to the signal bandwidth of the device.

NF refers to the noise figure of the device. In LTE systems, the NF is 9dB. In a 5G system, the NF is 10dB.

Example 1, the signal bandwidth of the device is 15000Hz, and the device is a device in the LTE system. The noise floor of the equipment under no-load conditions is:

PN＝10×lg(1.38×10 ^-23 J/K×290K×15×1000Hz)+9dB＝-123.22dBm

Example 2, the signal bandwidth of the device is 30000Hz, and the device is a device in the 5G system. The noise floor of the equipment under no-load conditions is:

PN＝10×lg(1.38×10 ^-23 J/K×290K×30×1000Hz)+10dB＝-119.21dBm

3. RSRP

RSRP refers to the measured value of the received power level of the terminal device in the LTE network or 5G network, that is, the power value of the signal actually received by the terminal device. RSRP can be used to analyze weak coverage and over-coverage of cells.

4. MR

MR is a report reported by the terminal device that can reflect the current network indicators of the terminal device. The above network indicators may include at least one of the following: RSRP of the primary serving cell, RSRP of at least one neighboring cell, and latitude and longitude information of the terminal device.

Normally, the terminal device reports MR once every period of time, so the data in MR is real-time. The above-mentioned terminal equipment reporting MR interval time can be set by the operator according to the actual network conditions, and this application does not impose any restrictions.

The above is a brief introduction to some concepts involved in the embodiments of this application.

As shown in Figure 1, Figure 1 shows a schematic structural diagram of a communication system provided by an embodiment of the present application. The communication system may include: at least one access network device 101, at least one terminal device 102, and at least one computing device 103. Figure 1 takes an access network device 101, a terminal device 102, and a computing device 103 as an example for illustration.

It should be noted that Figure 1 is only an exemplary framework diagram. The number of nodes included in Figure 1 is not limited, and in addition to the functional nodes shown in Figure 1, other nodes can also be included, such as core network equipment and gateway equipment. , application servers, etc., are not restricted.

Among them, the access network device 101 is mainly used to implement resource scheduling, wireless resource management, wireless access control and other functions of the terminal device 102. Specifically, the access network device 101 may be any node among a small base station, a wireless access point, a transmission receive point (TRP), a transmission point (TP), and some other access node.

The terminal device 102 is located within the coverage of the access network device 101, is connected to the access network device 101, and can report a measurement report (MR) to the access network device 101. The terminal device 102 may be a terminal (terminal equipment) or a user equipment (UE), a mobile station (MS), a mobile terminal (MT), or the like. Specifically, the terminal device 102 can be a mobile phone (mobile phone), a tablet computer, or a computer with wireless transceiver functions, or it can also be a virtual reality (VR) terminal, an augmented reality (AR) terminal, or an industrial control device. Wireless terminals, wireless terminals in driverless driving, wireless terminals in telemedicine, wireless terminals in smart grids, wireless terminals in smart cities, smart homes, vehicle-mounted terminals, etc. In the embodiment of the present application, the device used to implement the function of the terminal device 102 may be the terminal device 102, or may be a device that can support the terminal device 102 to implement the function, such as a chip system.

The computing device 103 is used to determine the SINR corresponding to the MR of the terminal device. The computing device 103 is also used to evaluate the interference of the primary serving cell according to the SINR corresponding to the MR.

In addition, the communication system described in the embodiments of the present application is to more clearly illustrate 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 network architecture With the evolution of the Internet and the emergence of new communication systems, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

Currently, the SINR determination methods generally include method 1 and method 2. Method 1 and method 2 will be described in detail below.

Method 1. Manual testing and analysis.

Manual test analysis refers to field testing data by staff, and then the SINR is obtained by analyzing the above data.

Problems with method 1: Manual test analysis requires operators to go to the field for testing, which will also lead to high labor costs and low efficiency in SINR determination.

Method 2. Interference signal simulation method.

Interference signal simulation refers to simulating various indicators of the network (for example, network load), and then determining the SINR through the above indicators.

Problems with Method 2: The complexity of interference signal simulation is high, there are many restrictions on scenarios, and the efficiency of determining SINR through interference signal simulation is low.

This application provides a method of determining SINR based on MR. Compared with the above-mentioned method 1, the method of determining SINR based on MR is lower in cost and more efficient. Compared with method 2, the SINR can be determined simply and quickly. However, SINR data are usually not included in current MR,

For example, the communication protocol of the LTE/4G network does not involve a specific definition of SINR. SINR measurement by terminal equipment in the LTE/4G network is based on resource blocks (RBs). That is, the terminal equipment needs to measure the SINR of each RB, and then convert the measured SINR into CQI. The above CQI is reported to the access network equipment. When the terminal device reports CQI, it will consider the terminal device's own decoding capability. This will cause the SINR corresponding to the CQI reported by the terminal device to be the SINR corresponding to the most significant character (most signification character, MSC) that the terminal device can decode, not the terminal device. Actual measured SINR. Therefore, in the LTE/4G network, the MR reported by the terminal device to the access network device does not include the actual SINR.

For another example, in a 5G/new radio (NR) network, only some terminal devices can periodically report MRs including SINR, while other terminal devices cannot report MRs including SINR due to manufacturer restrictions or their own capabilities. In this way This will cause the MR reported by some terminal devices in the 5G/NR network to have no SINR.

If the SINR is not included in the above MR, it will be impossible to perform interference analysis on the cell based on the MR.

To this end, this application provides a cell interference assessment method that can determine the SINR corresponding to the MR based on the RSRP of the primary serving cell in the MR reported by the terminal device and the RSRP of at least one neighboring cell of the primary serving cell. As shown in Figure 2, the method includes:

S201. The computing device obtains the measurement report MR of the terminal device and the network management data of the access network device.

In a possible implementation manner, the MR includes at least one of the RSRP of the primary serving cell and the RSRP of at least one neighboring cell of the primary serving cell. The network management data includes at least one of the average downlink PRB utilization of the coverage area of the primary serving cell and the equipment noise floor value of the access network equipment corresponding to the primary serving cell.

In a possible implementation manner, the neighboring cells in at least one neighboring cell are neighboring cells whose RSRP is greater than or equal to a preset threshold among all neighboring cells of the main serving cell.

The specific implementation process for the computing device to determine at least one neighbor cell may be: the computing device obtains the MR from the terminal device, determines the RSRP of all neighbor cells included in the MR, and then filters out the RSRPs of all neighbor cells that are greater than or equal to the preset value. The RSRP of the threshold determines that the neighbor cell corresponding to the above-screened RSRP that is greater than or equal to the preset threshold is at least one neighbor cell.

For example, the MR includes RSRPs of five neighboring cells (for example, neighboring cell #1, neighboring cell #2, neighboring cell #3, neighboring cell #4, and neighboring cell #5). The RSRP of neighbor #1 is -85dBm; the RSRP of neighbor #2 is -84dBm; the RSRP of neighbor #3 is -86dBm; the RSRP of neighbor #4 is -87dBm; and the RSRP of neighbor #5 is -89dBm. If the preset threshold is -87dBm, then the RSRP of neighbor cell #1, neighbor #2, neighbor #3, and neighbor #4 are all greater than or equal to the preset threshold, and then determine neighbor #1 and neighbor #2 , neighbor cell #3, and neighbor cell #4 are at least one neighbor cell.

Optionally, the specific implementation process for the computing device to determine at least one neighboring cell may also be: the computing device obtains the MR from the terminal device, arranges the RSRPs of all neighboring cells included in the MR in descending order, and determines The RSRPs of the M neighboring cells with the largest RSRP values in the above arrangement results are the RSRPs of at least one neighboring cell of the main serving cell.

Exemplarily, MR includes 7 neighboring cells (for example, neighboring cell #6, neighboring cell #7, neighboring cell #8, neighboring cell #9, neighboring cell #10, neighboring cell #11, and neighboring cell #12) RSRP. The RSRP of neighbor cell #6 is -85dBm; the RSRP of neighbor cell #7 is -84dBm; the RSRP of neighbor cell #8 is -86dBm; the RSRP of neighbor cell #9 is -87dBm; the RSRP of neighbor cell #10 is -89dBm; The RSRP of neighbor cell #11 is -88dBm; the RSRP of neighbor cell #12 is -83dBm. The computing device sorts the above seven neighboring cells in descending order of RSRP, and the arrangement results are shown in Table 1 below. If M is 5, then at least one neighbor cell is neighbor cell #12, neighbor cell #7, neighbor cell #6, neighbor cell #8, and neighbor cell #9. In this case, the RSRPs of at least one neighbor cell are -83dBm, -84dBm, -85dBm, -86dBm, and -87dBm respectively.

Table 1

S202. The computing device determines the signal to interference plus noise ratio SINR corresponding to the MR based on the MR and network management data.

It should be noted that the specific implementation process of the above S202 may be: the computing device determines that the RSRP of the primary serving cell in the MR is the useful signal power corresponding to the MR. The computing device determines the interference signal power corresponding to the MR based on the RSRP of at least one neighboring cell of the primary serving cell in the MR and the average downlink PRB utilization of the coverage area of the primary serving cell. The computing device then determines the SINR corresponding to the MR based on the useful signal power corresponding to the MR, the interference signal power corresponding to the MR, and the equipment noise floor value of the access network equipment.

S203. The computing device evaluates the interference of the primary serving cell of the terminal device based on the SINR corresponding to the MR of the primary serving cell.

In one possible implementation, when the computing device performs cell interference assessment based on the SINR corresponding to the MR, it can combine the longitude and latitude information in the MR to perform a rasterized interference assessment, which can more accurately locate the interfering cell or interference grid, so that Operators can accurately optimize the above-mentioned interference cells or interference grids, thereby improving the user's business experience.

The above technical solution at least brings the following beneficial effects: with the cell interference assessment method provided by this application, the computing device can directly use the data in the MR and the data in the network management system of the access network device (i.e., network management data) to determine the SINR. Since the data in the MR and the network management system are easy to obtain, determining the SINR based on the MR and network management data can be simple and fast.

In addition, the cell interference assessment method provided by this application can also avoid manual field surveys to obtain the above data, thereby reducing labor costs and improving the efficiency of SINR determination.

It should be noted that the above MR can be any MR of the terminal device, and this application does not impose any limitation on this. The above terminal device can also be any terminal device in the communication network, and this application does not impose any limitation on this.

Combined with Figure 2, as shown in Figure 3, in a possible implementation manner of S202, it can be specifically implemented through the following S301-S304.

S301. The computing device determines the useful signal power corresponding to the MR based on the RSRP of the primary serving cell.

In a possible implementation manner, the computing device determines the RSRP of the primary serving cell as the useful signal power corresponding to the MR.

S302. The computing device determines the average downlink PRB utilization of the main serving cell coverage area and the equipment noise floor value of the access network equipment corresponding to the main serving cell.

The specific implementation process of the above S302 is as follows: the computing device first determines the downlink PRB utilization of all cells within the main serving cell coverage area, and then determines the average downlink PRB utilization of all the above cells to obtain the average downlink PRB utilization of the main serving cell coverage area. PRB utilization.

For example, all cells within the coverage area of the main serving cell include: cell #1, cell #2, cell #3, and cell #4. The downlink PRB utilization rate of cell #1 is 60%; the downlink PRB utilization rate of cell #2 is 50%; the downlink PRB utilization rate of cell #3 is 61%; the downlink PRB utilization rate of cell #4 is 49%; cell # The downstream PRB utilization of 5 is 55%. In this case, the computing device adds the downlink PRB utilization rates of the above five neighboring cells (i.e. 275%), and then divides the above summation result by the number of cells (i.e. 5) to obtain the average coverage area of the main serving cell. Downstream PRB utilization (i.e. 55%).

The calculation device calculates the device noise floor value of the access network device under no-load conditions according to Formula 2.

It should be noted that when the access network equipment is working normally, the equipment noise floor value of the access network equipment will be within the preset range. If the noise floor value of the access network equipment is not within the above preset range, the access network equipment may be subject to strong interference, or the access network equipment may be damaged.

S303. The computing device determines the interference signal power corresponding to the MR based on the average downlink PRB utilization and the RSRP of at least one neighboring cell.

It should be noted that the frequency domain resources used by the main serving cell and at least one neighboring cell when transmitting data may not completely overlap. Therefore, the signal of the main serving cell and the signal of at least one neighboring cell may not necessarily be completely identical in the frequency domain. coincide. The part of the signal of at least one neighboring cell that overlaps with the signal of the main serving cell in the frequency domain will cause interference to the signal of the main serving cell, while the other part of the signal that does not overlap in the frequency domain will not interfere with the signal of the main serving cell. The signal causes interference. In this case, if the computing device determines the sum of RSRPs of at least one neighboring cell as the interference signal power corresponding to the MR, the interference signal power will be greater than the actual interference signal power, which will affect subsequent SINR calculations. Therefore, the computing device uses the average downlink PRB utilization as a weight value and multiplies it with the sum of RSRPs of at least one neighboring cell to determine the interference signal power corresponding to the MR. The interference signal power determined in this way will be closer to the actual interference signal power.

S304. The computing device determines the SINR corresponding to the MR based on the useful signal power corresponding to the MR, the interference signal power corresponding to the MR, and the device noise floor value of the access network device.

It should be noted that the specific implementation process of the above S205 is: the computing device uses the useful signal power corresponding to the MR as S, the interference signal power corresponding to the MR as I, and the device noise floor value of the access network device as N. The computing device then uses the above S, I, N, and formula 1 (i.e. ), determine the SINR corresponding to MR.

The above technical solution at least brings the following beneficial effects: In the cell interference evaluation method provided by this application, the computing device obtains the MR from the terminal device. The MR includes the reference signal received power RSRP of the main serving cell of the terminal device, and the RSRP of the main serving cell. RSRP of at least one neighboring cell; determine the average downlink physical resource block PRB utilization in the coverage area of the main serving cell, and the equipment noise floor value (i.e., N) of the access network equipment corresponding to the main serving cell. The computing device then determines the useful signal power (i.e., S) corresponding to the MR based on the RSRP of the primary serving cell; and determines the interference signal power (i.e., I) corresponding to the MR based on the average downlink PRB utilization and the RSRP of at least one neighboring cell. The computing device determines the SINR corresponding to the MR based on the useful signal power corresponding to the MR (i.e., S), the interference signal power corresponding to the MR (i.e., I), and the equipment noise floor value of the access network equipment (i.e., N). In this way, the SINR can be determined directly using the data in the MR and the network management data of the access network equipment (for example, the average downlink PRB utilization, the equipment noise floor value of the access network equipment). Since the data in MR and network management data are easy to obtain, determining SINR based on MR and network management data can be simple and fast.

In addition, the cell interference assessment method provided by this application can also avoid manual field surveys to obtain the above data, thereby reducing labor costs and improving the efficiency of SINR determination.

In a possible implementation, the average downlink PRB utilization includes at least the first average downlink PRB utilization within the first preset time period and the second average downlink PRB utilization within the second preset time period. one. The first preset time period may be a time period in a day (ie, 24 hours) with a larger number of users (commonly referred to as a "busy hour" time period). For example, the first preset time period is 7:00-10:00 and 20:00-24:00. The second preset time may be other time periods in a day than the first preset time period (commonly referred to as "free time" time periods). For example, the first preset time period is 0:00-6:00 and 11:00-19:00. The first preset time period and the second preset time period can be set according to actual conditions, and this application does not impose any limitations on this.

The case where the MR is the MR reported within the first preset time period is recorded as case 1, and the case where the MR is the MR reported within the second preset time period is recorded as case 2.

Case 1. The MR is the MR reported within the first preset time period.

In case 1, the interference signal power of SINR is determined based on the first average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell.

In a possible implementation, when the MR is an MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, I is the interference signal power corresponding to MR. PRB ₁ is the first average downlink PRB utilization. RSRP _k is the RSRP of the k-th neighbor cell in at least one neighbor cell. N is the number of at least one neighbor. k and N are positive integers, and k is less than or equal to N.

In this case, the SINR corresponding to MR satisfies the following formula:

Among them, the RSRP _{primary serving cell} is the RSRP of the primary serving cell. PN is the equipment noise floor value of the access network equipment corresponding to the main serving cell.

It should be noted that in the process of calculating SINR based on the above formula 4, it is necessary to first determine whether the access network equipment corresponding to the MR is equipment in the LTE system or equipment in the 5G system. If the access network device corresponding to the MR is a device in the LTE system, the PN can be the value calculated in the above example 1; if the access network device corresponding to the MR is a device in the 5G system, the PN can be the value calculated in the above example. 2 calculated value.

By way of example, Table 2 below shows an example of the useful signal power corresponding to the MR, the interference signal power corresponding to the MR, the device noise floor value of the access network device, and Formula 4 to calculate the SINR.

The PSPR of the main serving cell included in the MR data is -100dBm, and the RSRP of 5 neighboring cells. The RSRP of neighbor cell #13 is -110dBm; the RSRP of neighbor cell #14 is -112dBm; the RSRP of neighbor cell #15 is -115dBm; the RSRP of neighbor cell #16 is -115dBm; and the RSRP of neighbor cell #17 is -118dBm. The average downstream PRB utilization is 50%. The device noise floor value is -123.22dBm.

The specific calculation process of the above SINR is as follows: the computing device first converts the RSRP of the above five neighboring cells from dBm to mW. The RSRP of neighboring cell #13 is converted to 1.00E-11mW; the RSRP of neighboring cell #14 is converted to 6.31E-12mW; the RSRP of neighboring cell #15 is converted to 3.16E-12mW; the RSRP of neighboring cell #16 is converted to 3.16E- 12mW; the RSRP of neighboring cell #17 is converted to 1.58E-12mW. The computing device adds the RSRPs of the above five neighboring cells to obtain the superimposed signal strength of the neighboring cells (ie, 2.42E-11mW). The computing device multiplies the above-mentioned neighboring cell signal strength and the downlink average PRB utilization to obtain the interference signal power (i.e. 1.21E-11mW). The computing device converts the device noise floor value into mW, that is, the device noise floor value is converted to 4.77E-13mW. The calculation device adds the interference signal power in mW and the device noise floor in mW, and the fitted interference signal power (i.e., interference signal power + device noise floor) is 1.26E-11mW. The computing device converts the power of the fitted interference signal into units of dBm, that is, the power of the fitted interference signal is converted to -109.00dBm. The computing device divides the RSRP of the main serving cell (that is, -100dBm) by the fitted interference signal power (that is, -109dBm) to obtain the SINR (that is, 9.00dB).

In a possible implementation, the interference signal power can also be determined in the following way: after the computing device converts the RSRP of the above five neighboring cells into units of mW, it first compares the RSRP of the above five neighboring cells with the average downlink Multiply the PRB utilization (i.e. 50%). The RSRP of neighboring cell #13 multiplied by the average downlink PRB utilization is 5.00E-12mW; the RSRP of neighboring cell #14 multiplied by the average downlink PRB utilization is 3.15E-12mW; the RSRP of neighboring cell #15 multiplied by the average downlink PRB The utilization multiplied by 1.58E-12mW; the RSRP of neighboring cell #16 multiplied by the average downlink PRB utilization is 1.58E-12mW; the RSRP multiplied by the average downlink PRB utilization of neighboring cell #17 is 7.92E-13mW. The computing device then adds the above five multiplied results to obtain the interference signal power (i.e. 1.21E-11mW).

Table 2

Case 2. The MR is the MR reported within the second preset time period.

In case 2, the interference signal power of SINR is determined based on the second average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell.

In a possible implementation, when the MR is an MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, PRB ₂ is the second average downstream PRB utilization.

It should be noted that Formula 5 can be understood with reference to the above-mentioned Formula 3, and will not be described again here.

In this case (that is, the MR is the MR reported within the second preset time period), the SINR corresponding to the MR satisfies the following formula:

It should be noted that Formula 6 can be understood with reference to the above-mentioned Formula 4, and will not be described again here.

The above technical solution at least brings the following beneficial effects: In the cell interference evaluation method provided by this application, the calculation device calculates the useful signal power corresponding to the MR (i.e., S), the interference signal power corresponding to the MR (i.e., I), and the power of the access network equipment. The device noise floor value (i.e. N), determines the SINR corresponding to the MR, and adds the above SINR to the MR. In this way, SINR can be included in the MR, thereby enabling MR-based cell interference assessment.

It can be understood that the above cell interference assessment method can be implemented by a communication device. In order to realize the above functions, the communication device includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that, in conjunction with the modules and algorithm steps of each example described in the embodiments disclosed herein, the embodiments disclosed in the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementations should not be considered to be beyond the scope of the disclosed embodiments of the present application.

The disclosed embodiments of the present application can divide the functional modules according to the communication device generated by the above method example. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated modules can be implemented in the form of hardware or software function modules. It should be noted that the division of modules in the disclosed embodiments of this application is schematic and is only a logical function division. In actual implementation, there may be other division methods.

Figure 4 is a schematic structural diagram of a communication device provided by an embodiment of the present invention. As shown in Figure 4, the communication device 40 can be used to perform the cell interference assessment method shown in Figures 2-3. The communication device 40 includes a communication unit 401 and a processing unit 402.

The communication unit 401 is used to obtain the measurement report MR of the terminal device and the network management data of the access network device;

The processing unit 402 is used to determine the signal to interference plus noise ratio SINR corresponding to the MR based on the MR and network management data;

The processing unit 402 is also configured to evaluate the interference of the primary serving cell of the terminal device according to the SINR corresponding to the MR.

In a possible implementation, the MR includes at least one of the RSRP of the main serving cell and the RSRP of at least one neighboring cell of the main serving cell; the network management data includes the average downlink PRB utilization of the coverage area of the main serving cell, and At least one of the device noise floor values of the access network device corresponding to the primary serving cell.

In a possible implementation, the average downlink PRB utilization includes a first average downlink PRB utilization within a first preset time period and a second average downlink PRB utilization within a second preset time period. At least one; in the case where the MR is an MR reported within the first preset time period, the interference signal power of the SINR is determined based on the first average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell; in the MR In the case of MR reported within the second preset time period, the interference signal power of the SINR is determined based on the second average downlink PRB utilization and the RSRP of at least one neighboring cell of the primary serving cell.

In a possible implementation, when the MR is the MR reported within the first preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, I is the interference signal power of SINR; PRB ₁ is the first average downlink PRB utilization; RSRP _k is the RSRP of the k-th neighboring cell in at least one neighboring cell; N is the number of at least one neighboring cell; k, N are A positive integer, and k is less than or equal to N; when the MR is the MR reported within the second preset time period, the interference signal power of the SINR satisfies the following formula:

Among them, PRB ₂ is the second average downstream PRB utilization.

In a possible implementation, when the MR is an MR reported within the first preset time period, the SINR corresponding to the MR satisfies the following formula:

Among them, the RSRP _{of the main serving cell} is the RSRP of the main serving cell; the PN is the equipment noise floor value of the access network equipment corresponding to the main serving cell; when the MR is the MR reported within the second preset time period, the MR corresponds to The SINR satisfies the following formula:

In a possible implementation manner, at least one neighboring cell is the M neighboring cells with the largest RSRP value among all neighboring cells of the main serving cell; M is a positive integer.

Figure 5 shows another hardware structure of a communication device in an embodiment of the present invention. As shown in FIG. 5 , the communication device 50 may include a processor 501 and a communication interface 502 . Processor 501 is coupled to communication interface 502.

For the functions of the processor 501, please refer to the description of the processor 501 above. In addition, the processor 501 also has a storage function. Refer to the function of the memory 502 mentioned above.

The communication interface 502 is used to provide data to the processor 501. The communication interface 502 may be an internal interface of the communication device or an external interface of the communication device.

It should be noted that the structure shown in FIG. 5 does not limit the communication device 50. In addition to the components shown in FIG. 5, the communication device 50 may include more or less components than those shown in the figure, or a combination thereof. Certain parts, or different arrangements of parts.

It should be noted that the communication device may specifically be the above-mentioned computing device.

Through the above description of the embodiments, those skilled in the art can clearly understand that, for convenience and simplicity of description, only the division of the above functional units is used as an example. In practical applications, the above function allocation can be completed by different functional units as needed, that is, the internal structure of the device is divided into different functional units to complete all or part of the functions described above. For the specific working processes of the systems, devices and units described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be described again here.

Embodiments of the present invention also provide a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When a computer executes the instructions, the computer executes each step in the method flow shown in the above method embodiment.

Embodiments of the present invention provide a computer program product containing instructions. When the instructions are run on a computer, they cause the computer to perform the rich media determination method in the above method embodiment.

The computer-readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard drive. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), register, hard disk, optical fiber, portable and compact Compact Disc Read-Only Memory (CD-ROM), optical storage device, magnetic storage device, or a suitable combination of the above, or any other form of computer-readable storage medium valued in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and storage medium may be located in an Application Specific Integrated Circuit (ASIC). In embodiments of the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

Since the devices, equipment, computer-readable storage media, and computer program products in the embodiments of the present invention can be applied to the above methods, the technical effects that can be obtained can also be referred to the above method embodiments. The embodiments of the present invention are here No longer.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present invention should be covered by the protection scope of the present invention.

Claims (10)

1. A method for evaluating cell interference, comprising:

acquiring a measurement report MR of the terminal equipment and network management data of the access network equipment;

determining a signal-to-interference-plus-noise ratio (SINR) corresponding to the MR according to the MR and the network management data;

evaluating the interference of a main service cell of the terminal equipment according to the SINR corresponding to the MR;

wherein the MR comprises: at least one of a reference signal received power, RSRP, of the primary serving cell and an RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and equipment base noise value of access network equipment corresponding to the main service cell;

The average downlink PRB utilization rate comprises at least one of a first average downlink PRB utilization rate in a first preset time period and a second average downlink PRB utilization rate in a second preset time period;

if the MR is the MR reported in the first preset time period, determining interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell;

if the MR is the MR reported in the second preset time period, determining the interference signal power of the SINR according to the second average downlink PRB utilization and the RSRP of at least one neighbor cell of the primary serving cell;

the determining the signal-to-interference-plus-noise ratio SINR corresponding to the MR according to the MR and the network management data includes:

determining the RSRP of a main serving cell in the MR as useful signal power corresponding to the MR; determining interference signal power corresponding to the MR according to RSRP of at least one neighbor cell of the main service cell in the MR and average downlink PRB utilization rate of a coverage area of the main service cell; and determining the SINR corresponding to the MR according to the useful signal power corresponding to the MR, the interference signal power corresponding to the MR and the equipment background noise value of the access network equipment.

2. The method of claim 1, wherein the interference signal power of the SINR satisfies the following equation in the case where the MR is the MR reported in the first preset time period:

wherein, the I is the interference signal power of the SINR; the PRB (physical resource block) ₁ The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; the RSRP _k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of the at least one neighbor cell; k. n is a positive integer, and k is less than or equal to N;

and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR meets the following formula:

wherein the PRB is ₂ And the second average downlink PRB utilization rate is the second average downlink PRB utilization rate.

3. The method of claim 2, wherein, in the case where the MR is an MR reported in the first preset period, the SINR corresponding to the MR satisfies the following formula:

wherein the RSRP _{Main service district} RSRP for the primary serving cell; the PN is the equipment bottom noise value of the access network equipment corresponding to the main service cell;

and under the condition that the MR is the MR reported in the second preset time period, the SINR corresponding to the MR meets the following formula:

4. The method of claim 1, wherein a neighbor cell of the at least one neighbor cell is a neighbor cell of all neighbor cells of the primary serving cell having an RSRP greater than a preset threshold.

5. A communication device, comprising: a communication unit and a processing unit;

the communication unit is used for acquiring a measurement report MR of the terminal equipment and network management data of the access network equipment;

the processing unit is used for determining a signal-to-interference-plus-noise ratio (SINR) corresponding to the MR according to the MR and the network management data;

the processing unit is further configured to evaluate interference of a primary serving cell of the terminal device according to the SINR corresponding to the MR;

wherein the MR comprises: at least one of a reference signal received power, RSRP, of the primary serving cell and an RSRP of at least one neighbor cell of the primary serving cell; the network management data comprises at least one of average downlink Physical Resource Block (PRB) utilization rate of a coverage area of the main service cell and equipment base noise value of access network equipment corresponding to the main service cell;

the average downlink PRB utilization rate comprises at least one of a first average downlink PRB utilization rate in a first preset time period and a second average downlink PRB utilization rate in a second preset time period;

If the MR is the MR reported in the first preset time period, determining interference signal power of the SINR according to the first average downlink PRB utilization and RSRP of at least one neighbor cell of the primary serving cell;

if the MR is the MR reported in the second preset time period, determining the interference signal power of the SINR according to the second average downlink PRB utilization and the RSRP of at least one neighbor cell of the primary serving cell;

the processing unit is specifically configured to determine that an RSRP of a primary serving cell in the MR is useful signal power corresponding to the MR; determining interference signal power corresponding to the MR according to RSRP of at least one neighbor cell of the main service cell in the MR and average downlink PRB utilization rate of a coverage area of the main service cell; and determining the SINR corresponding to the MR according to the useful signal power corresponding to the MR, the interference signal power corresponding to the MR and the equipment background noise value of the access network equipment.

6. The apparatus of claim 5, wherein the interference signal power of the SINR satisfies the following equation if the MR is an MR reported during the first preset time period:

Wherein, the I is the interference signal power of the SINR; the PRB (physical resource block) ₁ The first average downlink PRB utilization rate is the first average downlink PRB utilization rate; the RSRP _k RSRP for a kth neighbor cell of the at least one neighbor cell; n is the number of the at least one neighbor cell; k. n is a positive integer, and k is less than or equal to N;

and under the condition that the MR is the MR reported in the second preset time period, the interference signal power of the SINR meets the following formula:

wherein the PRB is ₂ And the second average downlink PRB utilization rate is the second average downlink PRB utilization rate.

7. The apparatus of claim 6, wherein, in the case where the MR is an MR reported in the first preset time period, the SINR corresponding to the MR satisfies the following formula:

wherein the RSRP _{Main service district} RSRP for the primary serving cell; the PN is the equipment bottom noise value of the access network equipment corresponding to the main service cell;

and under the condition that the MR is the MR reported in the second preset time period, the SINR corresponding to the MR meets the following formula:

8. the apparatus of claim 5, wherein a neighbor cell of the at least one neighbor cell is a neighbor cell of all neighbor cells of the primary serving cell having an RSRP greater than a preset threshold.

9. A computing device, comprising: a processor and a communication interface; the communication interface being coupled to the processor for running a computer program or instructions to implement the cell interference assessment method as claimed in any one of claims 1-4.

10. A computer readable storage medium having instructions stored therein, characterized in that when executed by a computer, the computer performs the cell interference assessment method according to any of the preceding claims 1-4.