CN116456413A - Switching method, switching device, terminal and computer readable storage medium - Google Patents

Abstract

The present application discloses a handover method, device, terminal, and computer-readable storage medium, including: receiving measurement control information sent by a base station, and obtaining the first current reference signal received power (RSRP) of the serving cell currently accessed by the terminal based on the measurement control information. ) and the second current RSRP of each adjacent cell; based on the first current RSRP, the first predicted RSPR of the serving cell where the terminal is located at the next moment is predicted, and the second predicted RSRP of each adjacent cell at the next moment is predicted based on each second current RSRP; The first predicted RSRP and each second predicted RSRP are sent to the base station, so that when the handover condition is met, the base station determines the target cell from each adjacent cell; based on the received handover instruction, the serving cell is handed over to the target cell, and the target cell is improved. Accuracy and reliability are conducive to determining the optimal cell, thereby improving system performance.

Description

A switching method, device, terminal and computer-readable storage medium

Technical Field

The present application relates to the field of wireless technology, and relates to but is not limited to a switching method, device, terminal and computer-readable storage medium.

Background Art

In a wireless communication system, when a mobile device moves from one cell (referring to a base station or the coverage area of a base station) to another cell, a cell handover is required in order to maintain uninterrupted communication of the mobile device.

In the related art, for fast-moving terminals, such as networked drones, refer to Figure 1. When the measurement configuration information sent by the base station is received, the time is t1, and the relevant information of the current position P1 is obtained. The relevant information of the current position P1 includes the reference signal receiving power (RSRP) R1 of the service cell at the position P1, that is, the level R1, and is uploaded to the base station. Since the networked drone flies at a high speed, when the base station receives the relevant information of the current position P1, it is time t2, and the geographical location of the networked drone has changed significantly. The networked drone has flown to the P2 position, and at the same time, there will be a large difference in the channel environment.

At this time, when making a cell switching decision at time t2, the RSRP at the P1 position is used, which is R1, while the RSRP at the P2 position is R2. Using R1 for cell switching decision will lead to inaccurate cell selection, so that the selected cell may not be the optimal cell, thus affecting system performance.

Summary of the invention

In view of this, embodiments of the present application provide a switching method, device, terminal, and computer-readable storage medium.

The technical solution of the embodiment of the present application is implemented as follows:

The present application provides a switching method, the method comprising:

Receive measurement control information sent by the base station, and acquire a first current reference signal received power (RSRP) of a serving cell currently accessed by the terminal and a second current RSRP of each adjacent cell based on the measurement control information;

Predicting a first predicted RSPR of a serving cell where the terminal is located at a next moment based on the first current RSRP, and predicting a second predicted RSRP of each adjacent cell at a next moment based on each second current RSRP;

Sending the first predicted RSRP and each second predicted RSRP to the base station, so that when a switching condition is met, the base station determines a target cell from the each neighboring cell;

The cell is switched from the serving cell to the target cell based on the received switching instruction.

An embodiment of the present application provides a switching device, the switching device comprising:

An acquisition module, configured to receive measurement control information sent by a base station, and acquire a first current RSRP of a serving cell currently accessed by the terminal and a second current RSRP of each adjacent cell based on the measurement control information;

A prediction module, configured to predict a first predicted RSPR of a serving cell where the terminal is located at a next moment based on the first current RSRP, and predict a second predicted RSRP of each adjacent cell at a next moment based on each second current RSRP;

A sending module, configured to send the first predicted RSRP and each second predicted RSRP to the base station, so that when a switching condition is met, the base station determines a target cell from each adjacent cell;

A switching module is used to switch from the serving cell to the target cell based on the received switching instruction.

An embodiment of the present application provides a terminal, the terminal comprising:

Processor; and

a memory for storing a computer program executable on the processor;

Wherein, the computer program implements the above switching method when executed by the processor.

An embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are configured to execute the above-mentioned switching method.

The embodiment of the present application provides a switching method, device, terminal and computer-readable storage medium, the switching method comprising: after receiving the measurement control information sent by the base station, the terminal will obtain the first current RSRP of the currently connected service cell based on the measurement control information, and will also obtain the second current RSRP of each adjacent cell; then, based on the first current RSRP, predict the first predicted RSRP of the service cell where the terminal is located at the next moment, and also predict the second predicted RSRP of each adjacent cell at the next moment based on each second current RSRP; then, the terminal sends the predicted first predicted RSRP and each second predicted RSRP to the base station, so that when the switching condition is met, the base station determines the target cell from each adjacent cell based on the first predicted RSRP and each second predicted RSRP; finally, the terminal switches from the service cell to the target cell based on the received switching instruction. During the switching process, the terminal sends the predicted first predicted RSRP and each second predicted RSRP to the base station, so that the base station can accurately determine the target cell based on the first predicted RSRP and each second predicted RSRP, improve the accuracy and reliability of the target cell, and is conducive to determining the optimal cell, thereby improving the switching success rate.

BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like reference numerals may describe similar components in different views.The drawings generally illustrate, by way of example and not limitation, various embodiments discussed herein.

FIG1 is a schematic diagram of a structural framework for reporting level values provided by the related art;

FIG2 is a schematic diagram of an implementation flow of a switching method provided in an embodiment of the present application;

FIG3 is a schematic diagram of an implementation flow of a switching interaction method provided in an embodiment of the present application;

FIG4 is a schematic diagram of an implementation flow of determining a first predicted RSRP provided in an embodiment of the present application;

FIG5 is a schematic diagram of an implementation flow of determining a predicted distance provided in an embodiment of the present application;

FIG6 is a schematic diagram of another implementation flow of determining a first predicted RSRP provided in an embodiment of the present application;

FIG7 is a schematic diagram of an implementation flow of determining coefficients of an autoregressive model provided in an embodiment of the present application;

FIG8 is a schematic diagram of the structure of a switching device provided in an embodiment of the present application;

FIG. 9 is a schematic diagram of the composition structure of a terminal provided in an embodiment of the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

In a wireless communication system, when a mobile networked device moves from one cell (referring to a base station or the coverage area of a base station) to another cell, a cell handover is required to keep the mobile networked device communicating without interruption. How to successfully and quickly complete the cell handover is one of the important aspects of the cellular cell system design in a wireless communication system.

In cellular cell systems such as Long Term Evolution (LTE) and New Radio (NR), the concept of frequency reuse is fully adopted, that is, in a certain area, multiple cells use the same frequency to jointly complete coverage. This gives rise to the concept of automatic cell switching. For example, when a mobile networked device is communicating online and moves from the coverage of a cell to the coverage of another cell, in order to ensure that the network communication is not interrupted, it is necessary to automatically switch cells. This process should be carried out without the user's awareness and without the need for user access.

Generally, there are three criteria for determining whether a mobile networked device needs to switch cells:

The first criterion is based on the received signal carrier level, that is, the reference signal receiving power of the received signal.

When the level of the adjacent cell is higher than the level of the serving cell by more than a certain threshold, switching is performed.

The second criterion: judging by the carrier-to-interference ratio of the received signal.

When the carrier-to-interference ratio is lower than a given value, switching is performed.

The third criterion: based on the distance between the mobile networking device and the base station.

When the distance is greater than a given value, switching is performed.

In actual implementation, it is difficult to measure the carrier-to-interference ratio of the received signal during network communication; and when using distance judgment, the distance accuracy is sometimes difficult to guarantee. Therefore, the first criterion is generally used to judge cell switching.

Based on the first criterion mentioned above, the cell switching process of the fifth generation mobile communication technology (5G) includes the following four steps:

The first step is to trigger the measurement.

After the user equipment (UE) completes access or handover successfully, the 5G base station protocol function entity (gNodeB, gNB) will immediately send measurement control information to the UE through the RRC Connection Reconfiguration message, where the UE can be a mobile networked device, such as a networked drone, a networked smartphone, a networked computer, a networked wearable device, etc.

The second step is to perform the measurement.

According to the relevant configuration in the measurement control information, the UE monitors the wireless channel and reports the event to the gNB when the detected cell reference signal received power (RSRP) value meets the measurement report conditions (A1-A6, B1 and B2).

The measurement events defined by the 3rd Generation Partnership Project (3GPP) in 38.331 for 5G NR networks are as follows:

A1 event: the serving cell exceeds the threshold value;

A2 event: the serving cell is below the threshold;

A3 event: the neighboring cell is higher than the main service cell;

A4 event: The neighboring cell has a higher exit threshold;

A5 event: the serving cell is lower than the threshold value 1, and the neighboring cell is higher than the serving cell threshold value 2;

A6 event: The neighboring cell is higher than the serving cell;

B1 event: the neighboring cell of a different system is higher than the threshold of the serving cell;

B2 event: The serving cell is below threshold 1, and the neighboring cell of the different system is above threshold 2.

The third step is to switch the judgment.

Currently, the A3 event is generally used as the decision condition for cell switching, that is, when the measured RSRP of the neighboring cell minus the RSRP of the primary serving cell> the threshold value Thresh and lasts for a period of time t, it is decided to switch to the neighboring cell, where the neighboring cell is equivalent to the adjacent cell.

Step 4: Switch execution.

The original gNB executes the handover decision and sends the handover command to the UE, which then performs the handover and data forwarding.

Based on the problems existing in the related art, an embodiment of the present application provides a switching method. The method provided by the embodiment of the present application can be implemented by a computer program. When the computer program is executed, the switching method provided by the embodiment of the present application is completed. In some embodiments, the computer program can be executed by a processor in a terminal. Figure 2 is an implementation flow of the switching method provided by an embodiment of the present application. As shown in Figure 2, the switching method includes:

Step S201: receiving measurement control information sent by a base station, and acquiring a first RSRP of a serving cell currently accessed by a terminal and a second current RSRP of each neighboring cell based on the measurement control information.

Here, the base station is a public mobile communication base station, which is a form of radio station. It refers to a radio transceiver station that transmits information between terminals through a mobile communication exchange center in a certain radio coverage area. Simply put, the base station is used to ensure that the terminal can maintain a signal anytime and anywhere during the movement, and can ensure the needs of calls and sending and receiving information. In an embodiment of the present application, the terminal can be a drone, a mobile phone, a computer, a wearable device, etc., and the terminal can establish a connection relationship with the base station, so that the terminal can realize the networking function through the base station. In an embodiment of the present application, the terminal is in a mobile state, and the moving speed is greater than a certain threshold.

In actual implementation, the base station will periodically send measurement control information to the connected terminal. The measurement control information is used to trigger the terminal to obtain its own channel environment, its own location, and the location of the base station, etc. The channel environment includes the channel environment of the currently connected service cell, and also includes the channel environment of each adjacent cell adjacent to the service cell.

In an embodiment of the present application, when the terminal receives the measurement control information sent by the base station, it will obtain the first RSRP of the currently connected service cell at the current moment, and will also obtain the second current RSRP of each adjacent cell at the current moment, where the current moment refers to the moment when the terminal receives the measurement control information.

Step S202: predicting a first predicted RSPR of a serving cell where the terminal will be located at the next moment based on the first current RSRP, and predicting a second predicted RSRP of each adjacent cell at the next moment based on each second current RSRP.

Here, different movement modes of the terminal correspond to different prediction methods, wherein the movement modes of the terminal may include movement according to a preset trajectory and free movement. Among them, movement according to a preset trajectory means that the motion trajectory is planned in advance, such as moving from point A to point B in a straight line, and of course, it can also move from point A to point B in a curve; free movement means that the terminal moves based on control instructions, or the terminal is located in other freely moving devices, so that it moves freely with the free movement of other devices. For example, the free movement of a drone is based on control instructions, while a mobile phone in a helicopter or a car moves freely based on the free movement of the helicopter or the car.

In an embodiment of the present application, the terminal's movement mode is first obtained; then, the prediction model corresponding to the movement mode is further obtained; finally, the prediction model is used to predict the first current RSRP to obtain the first predicted RSPR of the service cell where the terminal will be located at the next moment; the prediction model is also used to predict each second current RSRP to obtain the second predicted RSPR of each adjacent cell of the terminal at the next moment. Among them, when the terminal's movement mode is according to a preset trajectory, the representation can predict the position of the terminal at the next moment, then the prediction model corresponding to the preset trajectory is a propagation loss model, here, the propagation loss model can be a free space propagation model; and when the terminal's movement mode is free movement, the terminal can move based on external control instructions, and the movement route is not fixed, then the prediction model corresponding to the free movement can be an autoregressive model, a neural network model, a Bayesian network model, etc.

Step S203: Send the first predicted RSRP and each second predicted RSRP to the base station, so that when the switching condition is met, the base station determines the target cell from each adjacent cell.

Here, the terminal sends a message to the base station through the communication connection between the terminal and the base station. In actual implementation, after the terminal determines the first predicted RSRP and each second predicted RSRP through step S202, the terminal sends the first predicted RSRP and each second predicted RSRP to the base station, so that the base station knows the actual situation of the terminal, and when the switching conditions are met, the base station determines the target cell with better channel quality from each adjacent cell.

In some embodiments, the base station receives the first predicted RSRP and each second predicted RSRP, and then makes a switching decision based on one of the above-mentioned events A1 to A6, B1 and B2, thereby determining the target cell. Taking event A3 as an example, the base station will determine each difference between each second predicted RSRP and the first predicted RSRP. If the difference between the second predicted RSRP and the first predicted RSRP of a neighboring cell is greater than the difference threshold, and the duration exceeds the duration threshold, it is considered that the switching condition is met, and the neighboring cell is determined as the target cell. Among them, the difference threshold can be a default value or a custom value. For example, the difference threshold can be 3dB, 4dB, 5dB, etc.; the duration threshold can also be a default value or a custom value. The duration threshold can be 50 milliseconds, 100 milliseconds, 200 milliseconds, 1 second, etc.

In other embodiments, if there are multiple neighboring cells that all meet the above switching condition, the neighboring cell corresponding to the second predicted RSRP with the maximum value is determined as the target cell, ensuring that the number of target cells is one.

Step S204: switching from the serving cell to the target cell based on the received switching instruction.

In an embodiment of the present application, on the one hand, after the base station determines the target cell, a switching instruction will be generated and sent to the terminal. Then, if the terminal adopts hard switching, the terminal's resources in the service cell will be released after sending the switching instruction; and if the terminal adopts soft switching, the base station will release the terminal's resources in the service cell only after the terminal successfully switches to the target cell based on the switching instruction. On the other hand, the terminal receives the switching instruction and parses the switching instruction to obtain the target cell; then, it sends an access request and a resource request to the target base station where the target cell is located, contacts the target cell, and establishes a new channel, thereby completing the switching from the service cell to the target cell. Among them, the target cell can belong to the same base station as the service cell, in which case the switching is an intra-station switching; the target cell can also belong to a different base station from the service cell, in which case the switching is an inter-station switching.

The embodiment of the present application provides a switching method. After receiving the measurement control information sent by the base station, the terminal will obtain the first current RSRP of the currently connected service cell based on the measurement control information, and will also obtain the second current RSRP of each adjacent cell; then, based on the first current RSRP, the first predicted RSRP of the service cell where the terminal is located at the next moment is predicted, and based on each second current RSRP, the second predicted RSRP of each adjacent cell at the next moment is predicted; then, the terminal sends the predicted first predicted RSRP and each second predicted RSRP to the base station, so that when the switching condition is met, the base station determines the target cell from each adjacent cell based on the first predicted RSRP and each second predicted RSRP; finally, the terminal switches from the service cell to the target cell based on the received switching instruction. During the switching process, the terminal sends the predicted first predicted RSRP and each second predicted RSRP to the base station, so that the base station can accurately determine the target cell based on the first predicted RSRP and each second predicted RSRP, thereby improving the accuracy and reliability of the target cell, and facilitating the determination of the optimal cell, thereby improving the switching success rate.

Based on the above embodiment, the embodiment of the present application provides a handover interaction method. As shown in FIG3 , the handover interaction method is applied to a base station, a terminal, and a target base station where a target cell is located. The handover interaction method includes the following steps S301 to S312:

Step S301: The base station sends measurement control information to the terminal.

Here, the base station periodically sends measurement control information to the terminal, and the measurement control information is used to trigger the terminal to obtain its own channel environment, its own location and the location of the base station, etc., wherein the channel environment includes the channel environment of the currently connected service cell, and also includes the channel environment of each adjacent cell adjacent to the service cell. In addition, when the terminal just accesses the service cell, the base station will also send measurement control information to the terminal to obtain relevant information about the channel environment.

Step S302: The terminal determines a first current RSRP and each second current RSRP based on the measurement control information.

Here, the implementation process of step S302 is similar to the implementation process of "obtaining the first RSRP of the service cell currently accessed by the terminal and the second current RSRP of each adjacent cell based on the measurement control information" in the above step S201. Therefore, the implementation process of step S302 can refer to the implementation process of the above step S201.

Step S303: The terminal predicts a first predicted RSPR of a serving cell where the terminal will be located at the next moment based on the first current RSRP, and predicts a second predicted RSRP of each adjacent cell at the next moment based on each second current RSRP.

Here, the implementation process of step S303 is similar to the implementation process of the above step S202, so the implementation process of step S303 can refer to the implementation process of the above step S202.

Step S304: The terminal sends the first predicted RSRP and each second predicted RSRP to the base station.

Here, the terminal sends the first predicted RSRP and each second predicted RSRP to the base station based on the connected channel.

In some embodiments, the terminal may further encode the first predicted RSRP and each second predicted RSRP to obtain encoded information, and send the encoded information to the base station.

Step S305: The base station determines whether a switching condition is met based on the first predicted RSRP and each second predicted RSRP.

Here, the base station determines the differences between the second predicted RSRP and the first predicted RSRP for multiple times; then, if a target difference that is greater than the difference threshold each time can be determined from the differences, that is, if a second predicted RSRP is higher than the first predicted RSRP by a certain value and lasts for a period of time, then it is determined that the switching condition is met. Otherwise, it is determined that the switching condition is not met.

In some embodiments, the base station may also periodically determine the differences between each second predicted RSRP and the first predicted RSRP within a preset time period; if each difference is greater than the difference threshold value in each period, that is, a second predicted RSRP is higher than the first predicted RSRP by a certain value and lasts for a period of time, then it is determined that the switching condition is met. Otherwise, it is determined that the switching condition is not met.

In the embodiment of the present application, if it is determined that the switching condition is met, the process proceeds to step S306 ; and if it is determined that the switching condition is not met, the process returns to step S301 .

Step S306: the base station determines a target cell from adjacent cells.

At this time, the switching condition is met, and the second predicted RSRP corresponding to the target difference can be determined as the selected second predicted RSRP; then, the adjacent cell corresponding to the selected second predicted RSRP is determined as the target cell.

Step S307: the base station generates a handover instruction based on the target cell.

Here, the switching instruction is an instruction to instruct the terminal to perform cell switching, and is also an instruction to instruct the terminal to switch to a target cell.

Step S308: The base station sends a switching instruction to the terminal.

Here, the base station sends the switching instruction to the terminal through the established connection.

Step S309: the base station releases the resources of the terminal in the serving cell.

Here, in order to save resources, the base station will also release the resources originally used by the terminal in the serving cell through a deletion instruction.

Step S310: The terminal sends an access request and a resource request to a target base station based on a handover instruction.

Here, the terminal will parse the switching instruction to obtain the target cell; then, it will send an access request and a resource application to the target base station to request access to the target cell in the target base station.

Step S311: The target base station returns a permission instruction to the terminal.

Here, the permission instruction is used to indicate that the target cell meets the access conditions and is ready for terminal access.

Step S312: the terminal switches from the serving cell to the target cell.

In the embodiment of the present application, through the above steps S301 to S3011, the base station triggers the terminal to obtain the first current RSRP and each second current RSRP by sending measurement control information; then, the terminal predicts the first predicted RSRP of the service cell at the next moment based on the first current RSRP, and also predicts the second predicted RSRP of each adjacent cell at the next moment based on each second current RSRP, and sends the first predicted RSRP and each second predicted RSRP to the base station; then, the base station determines whether the switching condition is met based on the first predicted RSRP and each second predicted RSRP, and when the switching condition is met, determines the target cell with the best RSRP from each adjacent cell to improve the accuracy and reliability of the target cell; also generates and sends a switching instruction; finally, the terminal switches from the service cell to the target cell based on the switching instruction. Thereby, the terminal switches to a cell with high channel quality, improves the communication quality of the terminal, reduces the transmission bit error rate, and improves the communication efficiency.

In some embodiments, the “predicting the first predicted RSPR of the serving cell where the terminal is located at the next moment based on the first current RSRP” in the above step S202 may be implemented by the following steps S2021 and S2022:

Step S2021, obtaining the movement mode of the terminal and obtaining the prediction model corresponding to the movement mode.

Here, the movement mode can be moving according to a preset trajectory or moving freely, wherein moving according to a preset trajectory means that the motion trajectory is planned in advance, and the trajectory of the terminal movement is fixed and known; while free movement means that the terminal moves based on control instructions, and the trajectory of the terminal movement is not fixed and unknown.

In the embodiment of the present application, if the terminal moves in a preset trajectory, the corresponding prediction model is a propagation loss model, wherein the propagation loss model may be a free space propagation model. If the terminal moves in a free manner, the corresponding prediction model may be an autoregressive model, a neural network model, a Bayesian network model, etc.

Step S2022: Use the prediction model to predict the first current RSRP to obtain a first predicted RSRP.

In the embodiment of the present application, referring to FIG. 4 , step S2022 may be implemented by following steps S221 to S228:

Step S221, determining whether the moving mode is moving according to a preset trajectory.

Here, if the movement mode is to move according to a preset trajectory, the preset trajectory information is stored in the terminal. In an embodiment of the present application, the terminal can obtain its own storage information, and then determine whether the storage information contains the preset trajectory information. If the storage information contains the preset trajectory information, it represents that the movement mode is to move according to the preset trajectory, and enters step S222; if the storage information does not contain the preset trajectory information, it represents that the movement mode is not to move according to the preset trajectory, but to move freely, and then enters step S225.

Step S222, determining the current distance between the terminal and the base station.

At this time, the moving mode is to move according to a preset trajectory, and the terminal obtains its current position and the base station position of the base station, and then determines the current distance based on the current position and the base station position.

Step S223, predicting the predicted distance between the terminal and the base station at the next moment based on the preset trajectory.

Here, the moving speed of the terminal can also be obtained, and then the moving distance of the terminal is determined based on the next moment and the moving speed, and then the moving trajectory is determined based on the moving distance and the preset trajectory, and finally the predicted position of the terminal at the next moment is predicted based on the current position and the moving trajectory. Based on this, combined with the distance formula, the predicted distance can be determined according to the predicted position of the terminal and the base station position.

Step S224: predicting the first current RSRP, the current distance, and the predicted distance using a propagation loss model to determine a first predicted RSRP.

Taking the propagation loss model as a free space propagation model as an example, the ratio of the current distance to the predicted distance can be determined first; then, a logarithmic operation is performed on the comparison value. In practice, a logarithmic operation with a base of 10 can be performed. In addition, the result after logarithmic processing is multiplied by a preset constant coefficient to obtain an operation result. The preset constant coefficient can be 20, and the operation result can characterize the loss difference between the RSRP at the current moment and the next moment; finally, the first current RSRP and the operation result are added to obtain a first predicted RSRP.

Step S225, obtaining historical RSRP of the terminal accessing the serving cell at at least two historical moments.

At this time, the moving mode is not moving according to the preset trajectory, but moving freely, then the historical RSRP of the terminal accessing the service cell at at least two historical moments is obtained from its own memory. For example, if the current moment is t, the RSRP of the terminal accessing the service cell at moment t-1 and the RSRP of the terminal accessing the service cell at moment t-2 are obtained.

Step S226, obtaining a preset autoregressive model.

Here, the parameters in the preset autoregressive model are the above-mentioned historical RSRPs, so the form of the autoregressive model matches the number of historical RSRPs.

For example, assuming that two historical RSRPs are S ₁ and S ₂ , respectively, the autoregressive model can be expressed as S _t = θ ₀ + θ ₁ *S ₁ + θ ₂ *S ₂ .

Step S227: Determine the coefficients of the autoregressive model based on the first current RSRP and the historical RSRP.

Here, the historical RSRP is first input into the autoregressive model to obtain the current predicted RSRP; then, the objective function is constructed based on the difference between the first current RSRP and the current predicted RSRP; then, the optimal solution of the objective function is determined using the least squares method, conjugate gradient method, quasi-Newton method, etc.; finally, the coefficients of the autoregressive model are determined based on the optimal solution. Continuing with the above example, θ ₀ , θ ₁ and θ ₂ are determined.

Step S228: Input the first current RSRP and the historical RSRP into the autoregressive model to obtain a first predicted RSRP.

Here, since the coefficient is known, the first predicted RSRP can be obtained by substituting the known first current RSRP and the historical RSRP. Continuing with the above example, assuming that the first predicted RSRP is recorded as _St+1 , St ₊₁ = _θ0 + _θ1 * _St + _θ2 * _S1 .

In some embodiments, when the terminal just accesses the serving cell, there is no historical RSRP in a short period of time, in which case the first current RSRP is directly determined as the first predicted RSRP. Since the base station periodically sends measurement control information at the millisecond level, this situation only exists for tens of milliseconds.

In an embodiment of the present application, through the above steps S221 to S228, when the terminal moves in a preset trajectory, the current distance of the terminal from the base station is determined, and the predicted distance of the terminal from the base station at the next moment is predicted based on the preset trajectory; then, the first current RSRP, the current distance and the predicted distance are predicted based on the propagation loss model to obtain the first predicted RSPR of the service cell where the terminal is located at the next moment. When the terminal moves in a free manner, at least one historical RSRP is obtained, and then the coefficients of the autoregressive model are determined based on the first current RSRP and the historical RSRP; then, the first current RSRP and the historical RSRP are input into the autoregressive model to obtain the first predicted RSRP. The first predicted RSRP can reflect the actual channel environment of the terminal's service cell at the next moment, thereby providing actual data for subsequent switching decisions, which is conducive to determining the optimal cell, thereby improving system performance.

In some embodiments, the method for determining the second predicted RSRP of each adjacent cell may be determined by referring to a method similar to the above-mentioned steps S221 to S228, which will not be described in detail in the embodiments of the present application.

In actual implementation, referring to FIG. 5 , the above step S223 “predicting the predicted distance between the terminal and the base station at the next moment based on the preset trajectory” can be implemented by the following steps S231 to S233:

Step S231, obtaining the current location of the terminal, the moving speed of the terminal and the base station location of the base station.

Here, after the terminal receives the measurement control information, the terminal will also obtain the current location, moving speed and base station location based on the measurement control information. Among them, the terminal is provided with a positioning device and a speed measuring device, and the current location of the terminal can be obtained through the positioning device, and the moving speed of the terminal can be obtained through the speed measuring device. In addition, when the terminal exchanges information with the base station, the terminal can obtain the location of the base station.

Step S232, predicting the predicted position of the terminal at the next moment based on the preset trajectory, the current position and the moving speed.

Here, the distance moved by the terminal is determined based on the next moment and the moving speed, and the moving trajectory is determined based on the moving distance and the preset trajectory. Finally, the moving trajectory determined based on the current position is moved to obtain the predicted position of the terminal at the next moment.

Step S233, determining the predicted distance based on the base station position and the predicted position.

Combined with the distance formula, the predicted distance between the terminal and the base station at the next moment can be determined.

In this way, through the above steps S231 to S233, the predicted position of the terminal at the next moment is predicted based on the preset trajectory, and then the predicted distance is determined based on the base station position and the predicted position, which simplifies the prediction process and improves the prediction efficiency.

In actual implementation, referring to FIG. 6 , the above step S224 “predicting the first current RSRP, the current distance and the predicted distance by the propagation loss model to determine the first predicted RSRP” can be implemented by the following steps S241 to S243:

Step S241, determining the ratio of the current distance to the predicted distance.

Here, the current distance is divided by the predicted distance to obtain the ratio of the current distance to the predicted distance. For example, assuming that the current distance is d _t and the predicted distance is d _t+1 , the above ratio is d _t /d _t+1 .

Step S242, performing a logarithmic operation on the comparison value based on a preset constant coefficient to obtain a calculation result.

Here, the constant coefficient may be 10, and the comparison value may be first subjected to a logarithmic operation with a base of 10, and then the result of the base operation may be multiplied by the constant coefficient to obtain an operation result. The operation result may represent the loss difference between the RSRP at the current moment and the RSRP at the next moment.

Step S243: Determine a first predicted RSRP based on the first current RSRP and the calculation result.

Here, the first current RSRP and the calculation result are accumulated to obtain the first predicted RSRP.

In the embodiment of the present application, through the above steps S241 to S243, the current distance and the predicted distance are processed in turn by calculating the quotient, logarithm, and product to obtain a calculation result, which can characterize the loss difference between the RSRP at the current moment and the RSRP at the next moment; then, the calculation results are accumulated on the basis of the first current RSRP to obtain the first predicted RSRP. In this way, data that conforms to reality is provided for subsequent switching decisions, which is conducive to determining the optimal cell, thereby improving system performance.

In actual implementation, referring to FIG. 7 , the above step S227 “determining the coefficients of the autoregressive model based on the first current RSRP and the historical RSRP” can be implemented by the following steps S271 to S274:

Step S271, input the historical RSRP into the autoregressive model to obtain the current predicted RSRP.

Here, the historical RSRP is input into the autoregressive model, and the current predicted RSRP expressed by the coefficient and the historical RSRP can be obtained, that is, the current predicted RSRP at the current moment is predicted by the historical RSRP. In addition, since the historical RSRP is known, the current predicted RSRP is represented by the coefficient of the autoregressive function.

Step S272: constructing an objective function of the autoregressive model based on the current predicted RSRP and the first current RSRP.

Here, the square of the difference between the first current RSRP and the current predicted RSRP may be used as the objective function of the autoregressive model.

Step S273, using a preset algorithm to optimize the objective function and obtain the target value of the objective function.

Here, the optimization solution refers to the minimum value solution, so that the current predicted RSRP is closest to the first current RSRP, that is, the autoregressive model can accurately predict the RSRP of the terminal at the next moment.

In the embodiment of the present application, a preset algorithm such as the least squares method, the conjugate gradient method, the quasi-Newton method, etc. can be used for optimization solution to obtain the target value of the objective function, which is the minimum value of the objective function.

Step S274, determining the coefficients of the autoregressive model based on the target value.

At this time, the target value can also be expressed by coefficients, and the coefficients of the regression function can be solved based on the known target value.

Through the above steps S271 to S274, the historical RSRP is input into the autoregressive model to obtain the current predicted RSRP; then the objective function of the autoregressive model is constructed based on the actual current RSRP and the current predicted RSRP; then the objective function is optimized to obtain the target value; finally, the coefficient of the autoregressive model is determined by the target value, so that the autoregressive model can accurately predict the RSRP of the terminal at the next moment, thereby improving the accuracy of the autoregressive model prediction.

Based on the above embodiments, the embodiments of the present application further provide a switching method, which is applied to a terminal. In the embodiments of the present application, the terminal is taken as an example of a networked drone. Currently, there are two main flight modes for networked drones: fixed-route flight and free flight, wherein fixed-route flight corresponds to movement according to a preset trajectory in the above embodiments, and free flight corresponds to free movement in the above embodiments. For fixed-route flight, the drone has planned a flight route before the flight, and the drone flies according to the planned route. For free flight, the drone flies according to the real-time control of the pilot or the management platform, and the flight route is not fixed. The following cell switching solutions are designed for the above two scenarios respectively.

The 5G cell switching process for a connected drone flying on a fixed route includes the following six steps:

Step 1: Trigger measurement.

After the UE completes access or handover successfully, the gNB will immediately send measurement control information to the UE through RRC Connection Reconfiguration.

Step 2: Perform measurement.

According to the relevant configuration of the measurement control information, the UE monitors the wireless channel and measures the RSRP values of the serving cell and the neighboring cells.

Step 3: Predict the channel quality of the serving cell.

Assume that the RSRP measurement result of the serving cell at the current time t is S _t , the position coordinate is P _t , the position coordinate of the drone at time t+1 is P _t+1 , and the position coordinate of the serving cell base station is b, then the distances d _t and d _t+1 between the base station and the drone at time t and time t+1 can be calculated respectively. The free space loss model is used to predict the field strength of the received signal when there is a completely unobstructed line-of-sight path between the receiver and the transmitter. It is a model of radio wave propagation with large-scale path loss. The free space model predicts the attenuation of the received power as a function of the distance between the transmitter and the receiver (TR). Since there is basically no obstruction between the low-altitude drone and the base station, the free space loss model can be used to predict the received power of the receiver.

According to the free space loss model, the received power at an antenna at a distance d from the transmitter in free space is given by Formula 1:

The RSRP at time t+1 can be predicted by formula 2:

Step 4: Neighboring cell channel quality prediction.

For all neighboring areas of the networked drone, predict the RSRP at time t+1 according to the method in step 3.

Step 5: Switch judgment.

Currently, the A3 event is generally used as the decision condition for cell switching, that is, when the measured RSRP of the neighboring cell minus the RSRP of the main service cell> the threshold value Thresh, and it lasts for a period of time, the decision to switch to the neighboring cell is made. Here, the RSRP of the neighboring cell and the main service cell both use the predicted values obtained in steps three and four. According to the above analysis, when the UAV flies at a high speed, due to the influence of time slot allocation and processing delay, the reported measured RSRP and the actual RSRP are quite different, the predicted value is closer to the actual channel condition, and the cell selected using the predicted value is more accurate.

Step 6: Switch execution.

The original gNB then executes the switching decision and sends the switching command to the UE, which performs the switching and data forwarding.

The 5G cell switching process for a free-flying connected drone is as follows: Steps 1 to 6:

Step 1: Trigger measurement.

After the UE completes access or handover successfully, the gNB will immediately send measurement control information to the UE through RRC Connection Reconfiguration.

Step 2: Perform measurement.

According to the relevant configuration of measurement control, the UE monitors the wireless channel and measures the RSRP values of the serving cell and neighboring cells.

Step 3: Channel quality prediction.

The autoregressive model is a process that uses itself as a regression variable, that is, the linear combination of random variables at several previous moments is used to describe the linear regression model of random variables at a certain moment in the future. Here, the autoregressive model can be used to predict channel quality.

Assume that the RSRP measurement result of the serving cell at the current time t is S _t , and the RSRP measurement results at the two previous times t-1 and t-2 are S ₁ and S ₂ . According to the autoregressive model, the RSRP value at the time t+1 can be predicted to be S _t+1 , and S _t+1 is reported as the RSRP value at this time. The detailed prediction method is as follows:

In the embodiment of the present application, the established regression model is shown in Formula 3:

S _t =θ ₀ +θ ₁ *S ₁ +θ ₂ *S ₂ (3);

Based on this, the objective function is formula 4:

In the embodiment of the present application, the parameters θ ₀ , θ ₁ , θ ₂ may be solved by the least square method;

Assume that the matrix expression of the function is Formula 5:

_hθ (S)=Sθ(5);

in,

Further, we can get the following formula 6:

Based on Formula 7:

Derivative the above matrix gives Formula 8:

Since the gradient value is zero at the extreme point, as shown in Formula 9:

Finally, the following formula 10 is obtained:

θ = (S ^T S) ^-1 S ^T Y (10);

Step 4: Neighboring cell channel quality prediction.

For all neighboring areas of the networked drone, predict the RSRP at time t+1 according to the method in step 3.

Step 5: Switch judgment.

Currently, the A3 event is generally used as the decision condition for cell switching, that is, when the measured RSRP of the neighboring cell minus the RSRP of the main service cell> the threshold value Thresh, and it lasts for a period of time, the decision to switch to the neighboring cell is made. Here, the RSRP of the neighboring cell and the main service cell both use the predicted values obtained in steps three and four. According to the above analysis, when the UAV flies at a high speed, due to the influence of time slot allocation and processing delay, the reported measured RSRP and the actual RSRP are quite different, the predicted value is closer to the actual channel condition, and the cell selected using the predicted value is more accurate.

Step 6: Switch execution.

The original gNB executes the handover decision and sends the handover command to the UE, which then performs the handover and data forwarding.

In this way, according to the different characteristics of drone flight routes, different cell switching schemes are proposed for networked drones flying on fixed routes and networked drones flying freely; because drones move at high speeds, channel measurement results cannot match the channel quality at the current moment, so historical channel measurement results are used for prediction, and the level value at the time of channel quality reporting is predicted for cell selection, which is conducive to selecting the optimal cell. The propagation loss model and autoregressive model are used for channel quality prediction, which is closer to the actual channel quality.

In the embodiment of the present application, whether it is a fixed route or free flight, the terminal can predict the RSRP at the next moment based on different models and the current RSRP, and send the predicted RSRP to the base station for the base station to select a high-quality target cell. The data used in the selection is closer to the actual situation, which improves the accuracy and reliability of the target cell, is conducive to determining the optimal cell, and thus improves system performance.

Based on the foregoing embodiments, an embodiment of the present application provides a switching device, wherein each module included in the device and each unit included in each module can be implemented by a processor in a computer device; of course, it can also be implemented by a corresponding logic circuit; in the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP) or a field programmable gate array (FPGA), etc.

The present application further provides a switching device. FIG8 is a schematic diagram of the structure of the switching device provided in the present application. As shown in FIG8 , the switching device 800 includes:

An acquisition module 801 is configured to receive measurement control information sent by a base station, and acquire a first current reference signal received power (RSRP) of a serving cell currently accessed by a terminal and a second current RSRP of each adjacent cell based on the measurement control information;

A prediction module 802 is configured to predict a first predicted RSPR of a serving cell where the terminal is located at a next moment based on the first current RSRP, and predict a second predicted RSRP of each adjacent cell at a next moment based on each second current RSRP;

A sending module 803, configured to send the first predicted RSRP and each second predicted RSRP to the base station, so that when a switching condition is met, the base station determines a target cell from each adjacent cell;

The switching module 804 is configured to switch from the serving cell to the target cell based on the received switching instruction.

In some embodiments, the prediction module 802 includes:

An acquisition submodule, used to acquire a movement mode of the terminal and acquire a prediction model corresponding to the movement mode, wherein the movement mode is moving according to a preset trajectory or moving freely;

The prediction submodule is used to use the prediction model to perform prediction processing on the first current RSRP to obtain the first predicted RSRP.

In some embodiments, when the moving mode is moving according to a preset trajectory, the prediction model is a propagation loss model; and the prediction submodule includes:

A first determining unit, configured to determine a current distance between the terminal and the base station;

A first prediction unit, configured to predict a predicted distance between the terminal and the base station at a next moment based on the preset trajectory;

The second prediction unit is used to perform prediction processing on the first current RSRP, the current distance and the predicted distance by using the propagation loss model to determine the first predicted RSRP.

In some embodiments, the first prediction unit includes:

An acquisition subunit, used to acquire the current position of the terminal, the moving speed of the terminal and the base station position of the base station;

A first prediction subunit, configured to predict a predicted position of the terminal at a next moment based on the preset trajectory, the current position and the moving speed;

The second prediction subunit is used to determine the predicted distance based on the base station position and the predicted position.

In some embodiments, the second prediction unit comprises:

a first determining subunit, configured to determine a ratio of the current distance to the predicted distance;

A first operator unit, configured to perform a logarithmic operation on the ratio based on a preset constant coefficient to obtain an operation result;

The second operation subunit is used to determine the first predicted RSRP based on the first current RSRP and the operation result.

In some embodiments, when the movement mode is free movement, the prediction model is an autoregressive model; and the prediction submodule further includes:

A first acquisition unit is used to acquire a historical RSRP of the terminal accessing the serving cell at at least two historical moments;

A second acquisition unit is used to acquire a preset autoregressive model;

A second determining unit, configured to determine a coefficient of the autoregressive model based on the first current RSRP and the historical RSRP;

An input unit is used to input the first current RSRP and the historical RSRP into the autoregressive model to obtain the first predicted RSRP.

In some embodiments, the second determining unit includes:

An input subunit, used for inputting the historical RSRP into the autoregressive model to obtain a current predicted RSRP;

A construction subunit, configured to construct an objective function of the autoregressive model based on the current predicted RSRP and the first current RSRP;

A solving subunit, used to optimize and solve the objective function using a preset algorithm to obtain a target value of the objective function;

The second determination subunit is used to determine the coefficients of the autoregressive model based on the target value.

It should be noted that the description of the switching device in the embodiment of the present application is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the embodiment of the device, please refer to the description of the method embodiment of the present application for understanding.

It should be noted that in the embodiment of the present application, if the above-mentioned switching method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

Accordingly, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the switching method provided in the above embodiment is implemented.

The embodiment of the present application provides a terminal. FIG9 is a schematic diagram of the composition structure of the terminal provided by the embodiment of the present application. As shown in FIG9, the terminal 900 includes: a processor 901, at least one communication bus 902, a user interface 903, at least one external communication interface 904 and a memory 905. Among them, the communication bus 902 is configured to realize the connection communication between these components. Among them, the user interface 903 may include a display screen, and the external communication interface 904 may include a standard wired interface and a wireless interface. Among them, the processor 901 is configured to execute the program of the switching method stored in the memory to implement the switching method provided in the above embodiment.

The description of the above terminal and storage medium embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the terminal and storage medium embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

It should be noted here that the description of the above storage medium and terminal embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and terminal embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application. The above-mentioned sequence numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other ways. The terminal embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present application.

In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately configured as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, magnetic disks or optical disks.

Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can essentially or in other words, the part that contributes to the relevant technology can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for an AC to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks or optical disks.

The above is only an implementation method of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (10)

1. A switching method, characterized in that the method comprises: receiving the measurement control information sent by the base station, and acquiring the first current reference signal received power (RSRP) of the serving cell currently accessed by the terminal and the second current RSRP of each adjacent cell based on the measurement control information; predicting the first predicted RSRP of the serving cell where the terminal is located at the next moment based on the first current RSRP, and predicting the second predicted RSRP of each adjacent cell at the next moment based on each second current RSRP; sending the first predicted RSRP and each second predicted RSRP to the base station, so that when a handover condition is met, the base station determines a target cell from the adjacent cells; handover from the serving cell to the target cell based on the received handover instruction. 2. The method according to claim 1, wherein the predicting the first predicted RSPR of the serving cell where the terminal is located at the next moment based on the first current RSRP comprises: Obtaining the movement mode of the terminal, and obtaining a prediction model corresponding to the movement mode, where the movement mode is to move according to a preset trajectory or to move freely; Prediction processing is performed on the first current RSRP by using the prediction model to obtain the first predicted RSRP. 3. The method according to claim 2, characterized in that, when the moving manner is to move according to a preset trajectory, the prediction model is a propagation loss model; the use of the prediction model for the first The current RSRP performs prediction processing to obtain the first predicted RSRP, including: determining a current distance between the terminal and the base station; predicting a predicted distance between the terminal and the base station at a next moment based on the preset trajectory; Prediction processing is performed on the first current RSRP, the current distance, and the predicted distance by using the propagation loss model to determine the first predicted RSRP. 4. The method according to claim 3, wherein the predicting the predicted distance between the terminal and the base station at the next moment based on the preset trajectory comprises: Obtaining the current location of the terminal, the moving speed of the terminal, and the location of the base station where the base station is located; Predicting a predicted position of the terminal at a next moment based on the preset trajectory, the current position and the moving speed; The predicted distance is determined based on the base station location and the predicted location. 5. The method according to claim 3, wherein the first current RSRP, the current distance and the predicted distance are predicted by the propagation loss model to determine the first Predicting RSRP, including: determining a ratio of said current distance to said predicted distance; performing a logarithmic operation on the ratio based on a preset constant coefficient to obtain an operation result; Determine the first predicted RSRP based on the first current RSRP and the calculation result. 6. The method according to claim 2, characterized in that, when the moving mode is free movement, the predictive model is an autoregressive model; the first current RSRP is carried out by using the predictive model Prediction processing, obtaining the first predicted RSRP, includes: Obtaining historical RSRPs of the terminal accessing the serving cell at least two historical moments; Get the preset autoregressive model; determining coefficients of the autoregressive model based on the first current RSRP and the historical RSRP; Inputting the first current RSRP and the historical RSRP into the autoregressive model to obtain the first predicted RSRP. 7. according to the method described in claim 6, it is characterized in that, described based on described first current RSRP and described history RSRP, determine the coefficient of described autoregressive model, comprising: Inputting the historical RSRP into the autoregressive model to obtain the current predicted RSRP; constructing an objective function of the autoregressive model based on the current predicted RSRP and the first current RSRP; Optimally solving the objective function by using a preset algorithm to obtain an objective value of the objective function; Coefficients of the autoregressive model are determined based on the target value. 8. A switching device, characterized in that the switching device comprises: An acquisition module, configured to receive measurement control information sent by the base station, and acquire the first current reference signal received power (RSRP) of the serving cell currently accessed by the terminal and the second current RSRP of each adjacent cell based on the measurement control information; A prediction module, configured to predict, based on the first current RSRP, the first predicted RSPR of the serving cell where the terminal is located at the next moment, and predict the second predicted RSRP of each neighboring cell at the next moment based on each second current RSRP; A sending module, configured to send the first predicted RSRP and each second predicted RSRP to the base station, so that when a handover condition is met, the base station determines a target cell from the neighboring cells; A handover module, configured to handover from the serving cell to the target cell based on the received handover instruction. 9. A terminal, characterized in that the terminal comprises: processor; and memory for storing computer programs executable on said processor; Wherein, when the computer program is executed by the processor, the switching method according to any one of claims 1 to 7 is implemented. 10. A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are configured to perform the switching described in any one of claims 1 to 7 method.