Communication control method and apparatus, base station, and computer-readable storage medium

Abstract

The present application relates to the technical field of communications, and in particular to a communication control method and apparatus, a base station, and a computer-readable storage medium. The method comprises: acquiring a first signal parameter of a serving cell where a user terminal is located and a second signal parameter of a neighboring cell of the serving cell; on the basis of the first signal parameter and the second signal parameter, determining a target grid matching the user terminal from a preset grid model, wherein the grid model comprises a plurality of grids; and scheduling the user terminal on the basis of a rate matching mode corresponding to the target grid.

Description

Communication control method, device, base station and computer-readable storage medium

[0001] Cross-references

[0002] This application claims priority to the Chinese patent application filed with the China Patent Office on September 18, 2023, with application number 202311209469.1 and invention name “Communication control method, device, base station and computer-readable storage medium”. The entire contents of the application are incorporated by reference into this application. Technical Field

[0003] The present application relates to the field of communication technology, and in particular to a communication control method, device, base station, and computer-readable storage medium. Background Art

[0004] Currently, in DSS (Dynamic Spectrum Sharing) scenarios and NR (New Radio) + LTE (Long Term Evolution) co-frequency scenarios, the PDSCH (Physical Downlink Shared Channel) of the NR terminal will be interfered with by the Common Reference Signal (CRS) of the neighboring LTE cell, which has a significant impact on downlink traffic. Therefore, it is necessary to consider NR's anti-interference solutions, such as rate matching.

[0005] In some cases, commonly used rate matching strategies include dynamic rate matching and static rate matching. Static rate matching uses a fixed RE (Resource Element) or symbol-level rate matching strategy for each serving cell. Dynamic rate matching also uses parameter configuration to implement different rate matching strategies under certain conditions. However, these two methods are not flexible enough to cope with changing interference scenarios and have poor interference mitigation effectiveness.

[0006] Therefore, how to improve the anti-interference effect of rate matching has become an urgent problem to be solved.

[0007] Summary of the Invention

[0008] The present application provides a communication control method, apparatus, base station, and computer-readable storage medium.

[0009] In the first aspect, the present application provides a communication control method, which includes: obtaining a first signal parameter of a service cell where a user terminal is located and a second signal parameter of a neighboring cell of the service cell; determining a target grid matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, the grid model including multiple grids; and scheduling the user terminal according to a rate matching method corresponding to the target grid.

[0010] The above-mentioned communication control method determines the target grid based on the first signal parameter of the serving cell and the second signal parameter of the neighboring cell, and schedules the user terminal according to the rate matching method corresponding to the target grid, thereby integrating signal parameters such as signal strength and interference intensity when determining the rate matching method. It solves the problem of poor anti-interference effect of the rate matching strategy in related technologies, can control the rate matching method more finely, and improves the anti-interference effect of rate matching.

[0011] In the second aspect, the present application also provides a communication control device, which includes: a signal parameter acquisition module, used to obtain the first signal parameters of the service cell where the user terminal is located and the second signal parameters of the neighboring area of ​​the service cell; a grid determination module, used to determine the target grid matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, and the grid model includes multiple grids; a scheduling module, used to schedule the user terminal according to the rate matching method corresponding to the target grid.

[0012] In a third aspect, the present application also provides a base station, which includes a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and implement the above-mentioned communication control method when executing the computer program.

[0013] In a fourth aspect, the present application also provides a computer-readable storage medium, which stores one or more programs, and the one or more programs can be executed by one or more processors to implement the above-mentioned communication control method. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0015] FIG1 is a schematic diagram of a DSS scenario provided in an embodiment of the present application;

[0016] FIG2 is a schematic diagram of an NR+LTE co-frequency scenario provided by an embodiment of the present application;

[0017] FIG3 is a schematic structural diagram of a base station provided in an embodiment of the present application;

[0018] FIG4 is a schematic flow chart of a communication control method provided in an embodiment of the present application;

[0019] FIG5 is a schematic diagram of a grid model provided in an embodiment of the present application;

[0020] FIG6 is a schematic diagram of another grid model provided in an embodiment of the present application;

[0021] FIG7 is a schematic flow chart of sub-steps for training a grid model according to an embodiment of the present application;

[0022] FIG8 is a schematic diagram of a training grid model provided in an embodiment of the present application;

[0023] FIG9 is a schematic flowchart of sub-steps for determining the grid to which a sample signal parameter belongs, provided in an embodiment of the present application;

[0024] FIG10 is a schematic diagram of another training grid model provided in an embodiment of the present application;

[0025] FIG11 is a schematic flowchart of another sub-step of determining the grid to which a sample signal parameter belongs, provided in an embodiment of the present application;

[0026] FIG12 is a schematic flowchart of sub-steps for determining a target grid according to an embodiment of the present application;

[0027] FIG13 is a schematic flowchart of another sub-step of determining a target grid provided in an embodiment of the present application;

[0028] FIG14 is a schematic block diagram of a communication control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0030] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, combined, or partially merged, so the actual execution order may vary depending on the actual situation.

[0031] It should be understood that the terms used in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0032] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0033] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0034] In the subsequent description, suffixes such as "module," "component," or "unit" used to represent elements are used only to facilitate the description of the present application and have no specific meaning. Therefore, "module," "component," or "unit" may be used interchangeably.

[0035] Embodiments of the present application provide a communication control method, apparatus, base station, and computer-readable storage medium. The communication control method can be applied to a base station. By determining a target grid based on a first signal parameter of a serving cell and a second signal parameter of a neighboring cell, and scheduling user terminals based on a rate matching method corresponding to the target grid, signal parameters such as signal strength and interference strength are integrated when determining the rate matching method. This solves the problem of poor anti-interference effectiveness of rate matching strategies in related technologies, allows for more refined control of the rate matching method, and improves the anti-interference effectiveness of rate matching.

[0036] Exemplarily, the base station may include but is not limited to a macro base station, a micro base station, a pico base station, and the like.

[0037] It should be noted that the embodiments of the present application provide a communication control method that can be applied to DSS scenarios and NR+LTE co-frequency scenarios. Please refer to Figures 1 and 2. Figure 1 is a schematic diagram of a DSS scenario provided by an embodiment of the present application, and Figure 2 is a schematic diagram of an NR+LTE co-frequency scenario provided by an embodiment of the present application.

[0038] Please refer to Figure 3, which is a schematic diagram of the structure of a base station 1000 provided in an embodiment of the present application. Base station 1000 may include a processor 1001 and a memory 1002, wherein processor 1001 and memory 1002 may be connected via a communication bus, such as an Inter-Integrated Circuit (I2C) bus or any other suitable communication bus.

[0039] The memory 1002 may include a storage medium and an internal memory. The storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, enable the processor to execute the communication control method described in any embodiment.

[0040] The processor 1001 is used to provide computing and control capabilities to support the operation of the entire base station 1000.

[0041] The processor 1001 may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or any conventional processor.

[0042] In one embodiment, the processor 1001 is used to run a computer program stored in the memory 1002 to implement the following steps: obtaining a first signal parameter of the service cell where the user terminal is located and a second signal parameter of a neighboring cell of the service cell; determining a target grid matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, the grid model including multiple grids; and scheduling the user terminal according to a rate matching method corresponding to the target grid.

[0043] In one embodiment, the first signal parameter includes a first reference signal receiving power, and the second signal parameter includes a second reference signal receiving power; when the processor 1001 determines the target grid matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, it is used to: determine the first dimensional interval corresponding to the target grid based on the power interval to which the first reference signal receiving power belongs; determine the second dimensional interval corresponding to the target grid based on the power interval to which the second reference signal receiving power belongs; perform grid positioning in the grid model based on the first dimensional interval and the second dimensional interval to obtain the target grid.

[0044] In one embodiment, the second signal parameter also includes neighboring cell load information; before the processor 1001 implements grid positioning in the grid model based on the first dimensional interval and the second dimensional interval to obtain the target grid, it is also used to implement: determining the third dimensional interval corresponding to the target grid based on the load interval to which the neighboring cell load information belongs.

[0045] In one embodiment, when the processor 1001 implements grid positioning in the grid model according to the first dimensional interval and the second dimensional interval to obtain the target grid, it is also used to implement: grid positioning in the grid model according to the first dimensional interval, the second dimensional interval and the third dimensional interval, and determining the located grid as the target grid.

[0046] In one embodiment, the processor 1001 is also used to implement: constructing an initial grid model; training the initial grid model according to the first sample signal data of the user terminal in the RE-level rate matching mode, and obtaining the first performance information corresponding to each grid in the initial grid model; training the initial grid model according to the second sample signal data of the user terminal in the symbol-level rate matching mode, and obtaining the second performance information corresponding to each grid in the initial grid model; performing rate matching on the initial grid model according to the first performance information and the second performance information of each grid, and obtaining a preset grid model.

[0047] In one embodiment, the initial grid model includes grids of multiple signal dimensions, each grid corresponds to a signal dimension in a different interval range, and the first sample signal data includes multiple sample signal parameters and performance information of the user terminal under the multiple sample signal parameters; when the processor 1001 trains the initial grid model according to the first sample signal data of the user terminal under the RE-level rate matching method and obtains the first performance information corresponding to each grid in the initial grid model, it is used to implement: determining the grid to which each sample signal parameter belongs according to the dimensional interval range corresponding to each sample signal parameter; determining the first performance information of each corresponding grid according to the performance information of the user terminal under all sample signal parameters in each grid.

[0048] In one embodiment, the initial grid model includes a signal strength dimension and a signal-to-interference ratio dimension, and the sample signal parameters include a reference signal received power of a serving cell and at least one set of parameter signal received powers of a neighboring cell of the serving cell; when the processor 1001 determines the grid to which each sample signal parameter belongs according to the dimensional interval range corresponding to each sample signal parameter, it is used to implement: determining each sample signal parameter as the current sample signal parameter in turn; determining the first dimensional interval of the current sample signal parameter in the signal strength dimension according to the reference signal received power of the serving cell in the current sample signal parameter; performing signal-to-interference ratio mapping on at least one set of parameter signal received powers in the current sample signal parameter to obtain a target signal-to-interference ratio; determining the second dimensional interval of the current sample signal parameter in the signal-to-interference ratio dimension according to the target signal-to-interference ratio; performing grid positioning according to the first dimensional interval and the second dimensional interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

[0049] In one embodiment, when the processor 1001 implements signal-to-interference ratio mapping of at least one set of parameter signal receiving powers in the current sample signal parameters to obtain a target signal-to-interference ratio, it is used to implement: classifying the interference neighboring cells of at least one set of parameter signal receiving powers to obtain multiple types of interference neighboring cells; calculating based on the parameter signal receiving power set corresponding to each type of interference neighboring cell and the reference signal receiving power of the serving cell to obtain the signal-to-interference ratio corresponding to each type of interference neighboring cell; and determining the target signal-to-interference ratio based on the signal-to-interference ratio corresponding to each type of interference neighboring cell.

[0050] In one embodiment, the initial grid model also includes a neighboring cell load dimension, and the sample signal parameters also include at least one set of neighboring cell load information of the neighboring cells of the service cell; when the processor 1001 implements grid positioning according to the first dimensional interval and the second dimensional interval to obtain the grid to which the current sample signal parameter belongs, it is used to implement: load calculation of at least one set of neighboring cell load information in the current sample signal parameter to obtain the target load; according to the target load, determining the third dimensional interval of the current sample signal parameter on the neighboring cell load dimension; performing grid positioning according to the first dimensional interval, the second dimensional interval and the third dimensional interval to obtain the grid to which the current sample signal parameter belongs.

[0051] In one embodiment, the neighboring cell load information includes physical resource block utilization; when the processor 1001 performs load calculation on at least one set of neighboring cell load information in the current sample signal parameters to obtain the target load, it is used to implement: determining the target neighboring cell participating in the load calculation; and determining the target load based on the physical resource block utilization and the starting position of the physical resource block of the target neighboring cell.

[0052] In one embodiment, the first performance information includes a first performance value, and the second performance information includes a second performance value; when the processor 1001 implements rate matching of the initial grid model according to the first performance information and the second performance information of each grid, it is used to implement: if the first performance value of the grid is greater than the second performance value, then the rate matching method associated with the corresponding grid is determined to be the RE-level rate matching method; if the first performance value of the grid is less than the second performance value, then the rate matching method associated with the corresponding grid is determined to be the symbol-level rate matching method.

[0053] The following detailed description of some embodiments of the present application is provided in conjunction with the accompanying drawings. The following embodiments and features may be combined with each other unless they conflict. Please refer to Figure 4, which is a schematic flow chart of a communication control method provided by an embodiment of the present application. As shown in Figure 4, the communication control method includes steps S101 to S103.

[0054] Step S101: Acquire a first signal parameter of a serving cell where a user terminal is located and a second signal parameter of a neighboring cell of the serving cell.

[0055] It should be noted that the embodiment of the present application provides a communication control method that can be applied to DSS scenarios and NR+LTE co-frequency scenarios. The following will take these two scenarios as examples to illustrate how the base station controls the communication of the user terminal.

[0056] Exemplarily, the base station may collect the first signal parameter of the serving cell where the user terminal is located and the second signal parameter of the neighboring cell of the serving cell. The first signal parameter may include a first reference signal received power (RSRP). In the NR+LTE co-frequency scenario, the second signal parameter may include a second reference signal received power. In the DSS scenario, in addition to including the second reference signal received power, the second signal parameter may also include neighboring cell load information.

[0057] By acquiring the first signal parameters of the serving cell where the user terminal is located and the second signal parameters of the neighboring cell of the serving cell, the target grid can be determined based on the first signal parameters of the serving cell and the second signal parameters of the neighboring cell.

[0058] Step S102: Determine a target grid to be matched by the user terminal from a preset grid model according to the first signal parameter and the second signal parameter, where the grid model includes a plurality of grids.

[0059] In some embodiments, after obtaining the first signal parameters of the service cell where the user terminal is located and the second signal parameters of the neighboring cell of the service cell, the target grid matching the user terminal can be determined from a preset grid model based on the first signal parameters and the second signal parameters, and the grid model includes multiple grids.

[0060] It should be noted that, in the embodiment of the present application, different scenes correspond to different grid models, wherein the grid model includes multiple grids.

[0061] Please refer to Figure 5, which is a schematic diagram of a grid model provided in an embodiment of the present application. Figure 5 is a grid model corresponding to the NR+LTE co-frequency scenario. In the NR+LTE co-frequency scenario, the dimensions in the grid model can include signal strength and signal-to-interference ratio dimensions, and each grid corresponds to a rate matching method.

[0062] For example, as shown in Figure 5, in the NR+LTE co-frequency scenario, the target grid for the user terminal to match can be determined from the grid model based on the first reference signal received power and the second reference signal received power. For example, a first dimension interval of the first reference signal received power in the signal strength dimension can be determined, and a second dimension interval of the second reference signal received power in the signal-to-interference ratio dimension can be determined. Then, grid positioning can be performed in the grid model based on the first dimension interval and the second dimension interval to obtain the target grid.

[0063] Please refer to Figure 6, which is a schematic diagram of another grid model provided in an embodiment of the present application. Figure 6 is a grid model corresponding to a DSS scenario. In a DSS scenario, the dimensions in the grid model may include signal strength, signal-to-interference ratio, and neighboring cell load, with each grid corresponding to a rate matching method.

[0064] For example, as shown in Figure 6, in a DSS scenario, the target grid for the user terminal to match can be determined from the grid model based on the first reference signal received power, the second reference signal received power, and the neighboring cell load information. For example, the first dimension interval of the first reference signal received power in the signal strength dimension can be determined, the second dimension interval of the second reference signal received power in the signal-to-interference ratio dimension can be determined, and the third dimension interval of the neighboring cell load information in the neighboring cell load dimension can be determined. Then, grid positioning can be performed in the grid model based on the first dimension interval, the second dimension interval, and the third dimension interval to obtain the target grid.

[0065] Step S103: Schedule the user terminal according to the rate matching method corresponding to the target grid.

[0066] In some embodiments, after determining a target grid for matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, the user terminal may be scheduled according to a rate matching method corresponding to the target grid.

[0067] For example, the rate matching mode corresponding to the target grid can be obtained, and the user terminal can be scheduled according to the rate matching mode corresponding to the target grid. Specific scheduling processes can be found in related technologies and are not limited here.

[0068] It should be noted that in the embodiment of the present application, the grid model can be pre-trained to match the rate matching mode for each grid in the grid model. The rate matching mode for each grid can be an RE-level rate matching mode or a symbol-level rate matching mode.

[0069] In the above embodiment, the target grid for matching the user terminal is determined from the grid model based on the first signal parameter and the second signal parameter, and the user terminal is scheduled according to the rate matching method corresponding to the target grid. Since the first signal parameter includes the reference signal receiving power and the second signal parameter includes the reference signal receiving power and the neighboring cell load information, it is possible to integrate signal parameters such as signal strength and interference strength when determining the rate matching method, thereby solving the problem of poor anti-interference effect of the rate matching strategy in the related technology, and can control the rate matching method more finely, thereby improving the anti-interference effect of the rate matching.

[0070] In the embodiment of the present application, the grid model is pre-trained, and how to train the grid model will be described in detail below.

[0071] Please refer to Figure 7, which is a schematic flowchart of the sub-steps of training a grid model provided in an embodiment of the present application. As shown in Figure 7, the training process of the grid model may include the following steps S201 to S204.

[0072] Step S201: construct an initial grid model.

[0073] In an embodiment of the present application, an initial grid model may be constructed. The initial grid model may include grids of multiple signal dimensions, each grid corresponding to a signal dimension in a different interval range.

[0074] For example, in an NR+LTE co-frequency scenario, the grid model can include a signal strength dimension and a signal-to-interference ratio dimension. For example, the signal strength dimension can be divided into K categories, and for each category of signal strength dimension, the signal-to-interference ratio dimension can be divided into M intervals. The values ​​of K and M can be set based on actual conditions, and the specific values ​​are not limited here.

[0075] In some embodiments, when K=3 and M=5, a non-equal interval division method can be adopted to divide the signal strength dimension into 3 intervals: RSRP(-inf,-110], RSRP(-110,-90], RSRP(-90,inf), and the signal-to-interference ratio dimension is divided into 5 intervals: sir(-inf,3], sir(3,10], sir(10,20], sir(20,30], sir(30,inf). Wherein, inf represents infinity. Then, the grids in the grid model are divided into two categories: grids corresponding to the RE-level rate matching method and grids corresponding to the symbol-level rate method. According to the signal strength dimension and the signal-to-interference ratio dimension, a total of K×M two-dimensional grids are generated in each category, and each grid is numbered and the grid ID is recorded.

[0076] For example, in a DSS scenario, the initial grid model may include a signal strength dimension and a signal-to-interference ratio dimension. For example, the signal strength dimension may be divided into K categories. For each category of signal strength dimension, the signal-to-interference ratio dimension may be divided into M intervals, and the neighboring cell load dimension may be divided into N intervals. The value of N can be set based on actual conditions, and the specific value is not limited here.

[0077] In some embodiments, when K=3, M=5, and N=5, a non-equal interval division method can be adopted to divide the signal strength dimension into 3 intervals: RSRP(-inf,-110], RSRP(-110,-90], RSRP(-90,inf), the signal-to-interference ratio dimension is divided into 5 intervals: sir(-inf,3], sir(3,10], sir(10,20], sir(20,30], sir(30,inf), and the neighboring cell load dimension is divided into 5 intervals: paylo ad(-inf,0.1], payload(0.1,0.3], payload(0.3,0.5], payload(0.5,0.7], payload(0.7,inf). Then, the grids in the initial grid model are divided into two categories: grids corresponding to the RE-level rate matching method and grids corresponding to the symbol-level rate matching method. Based on the signal strength dimension, signal-to-interference ratio dimension, and neighboring cell load dimension, a three-dimensional grid of K×M×N is generated in each category. Each grid is numbered and the grid ID is recorded.

[0078] Step S202: Train the initial grid model based on the first sample signal data of the user terminal in the RE level rate matching mode to obtain first performance information corresponding to each grid in the initial grid model.

[0079] Please refer to Figure 8, which is a schematic diagram of a training grid model provided in an embodiment of the present application. As shown in Figure 8, in the NR+LTE co-frequency scenario, the initial grid model can be trained based on the first sample signal data of the user terminal under the RE-level rate matching method to obtain the first performance information corresponding to each grid in the initial grid model. The initial grid model is trained based on the second sample signal data of the user terminal under the symbol-level rate matching method to obtain the second performance information corresponding to each grid in the initial grid model. Then, the initial grid model is rate matched based on the first performance information and the second performance information of each grid to obtain a preset grid model. Among them, rate matching refers to determining the target rate matching method corresponding to each grid.

[0080] The following uses the NR+LTE co-frequency scenario as an example to illustrate how to train the grid model.

[0081] For example, after constructing the initial grid model, first performance information corresponding to each grid in the initial grid model under the RE-level rate matching method and second performance information corresponding to the symbol-level rate matching method can be determined. The following details how to determine the first performance information corresponding to the grid.

[0082] It should be noted that the first sample signal data may be historical network data, and the first sample signal data may include multiple sample signal parameters of the user terminal under the RE-level rate matching mode and performance information of the user terminal under multiple sample signal parameters. The second sample signal data may include multiple sample signal parameters of the user terminal under the symbol-level rate matching mode and performance information of the user terminal under multiple sample signal parameters. Among them, the sample signal parameters may include the reference signal received power of the serving cell, at least one set of parameter signal received power of the neighboring cells of the serving cell, and at least one set of neighboring cell load information of the neighboring cells. The performance information may include prb (Physical Resource Block) throughput and / or traffic rate, and the performance information is used to measure the use effect of the sample signal parameters under the RE-level rate matching mode and the symbol-level rate matching mode.

[0083] It can be understood that in the NR+LTE co-frequency scenario, since there is no need to use the neighboring cell load information to determine the rate matching method corresponding to the grid, the sample signal parameters may not include at least one set of neighboring cell load information of the neighboring cells of the serving cell.

[0084] For example, the reference signal received power of the serving cell can be expressed as (RSRP0, PCI0). At least one set of parameter signal received power of the neighboring cell can be expressed as {(RSRP1, PCI1), (RSRP2, PCI2), ..., (RSRP m ,PCIm )}. PCI refers to the physical-layer cell identity, which is used to identify different cells. For example, PCI0 refers to the serving cell, PCI1 refers to the first neighboring cell, PCI2 refers to the second neighboring cell, and so on.

[0085] In some embodiments, the initial grid model is trained based on the first sample signal data of the user terminal under the RE-level rate matching mode to obtain the first performance information corresponding to each grid in the initial grid model, which may include: determining the grid to which each sample signal parameter belongs based on the dimensional interval range corresponding to each sample signal parameter; and determining the first performance information of each corresponding grid based on the performance information of the user terminal under all sample signal parameters in each grid.

[0086] Please refer to FIG. 9 , which is a schematic flowchart of sub-steps of determining the grid to which the sample signal parameters belong according to an embodiment of the present application, and may include the following steps S301 to S305 .

[0087] Step S301: sequentially determine each sample signal parameter as the current sample signal parameter.

[0088] Exemplarily, each sample signal parameter in the first sample signal data may be determined as the current sample signal parameter.

[0089] Step S302: Determine a first dimension interval of the current sample signal parameter in the signal strength dimension according to the reference signal received power of the serving cell in the current sample signal parameter.

[0090] Exemplarily, for the current sample signal parameter, a first dimension interval of the current sample signal parameter in the signal strength dimension may be determined based on the reference signal received power of the serving cell in the current sample signal parameter. For example, the first dimension interval may be determined based on the power interval to which the reference signal received power belongs.

[0091] Step S303: Perform signal-to-interference ratio mapping on at least one group of parameter signal received power in the current sample signal parameters to obtain a target signal-to-interference ratio.

[0092] It should be noted that the signal-to-interference ratio (SIR) is defined as the ratio of the interference signal strength to the target echo signal strength. Signal-to-interference ratio mapping converts the parameter signal received power into the signal-to-interference ratio. In the embodiments of the present application, by performing signal-to-interference ratio mapping on the parameter signal received power, the interference strength can be incorporated into the determination of the rate matching method, achieving more refined control of the rate matching method and improving the anti-interference effect of the rate matching.

[0093] The following will describe in detail how to perform signal-to-interference ratio mapping.

[0094] In some embodiments, performing signal-to-interference ratio mapping on at least one set of parameter signal receiving powers in the current sample signal parameters to obtain a target signal-to-interference ratio may include: classifying the at least one set of parameter signal receiving powers into interference neighboring cells to obtain multiple types of interference neighboring cells; calculating based on the parameter signal receiving power set corresponding to each type of interference neighboring cell and the reference signal receiving power of the serving cell to obtain the signal-to-interference ratio corresponding to each type of interference neighboring cell; and determining the target signal-to-interference ratio based on the signal-to-interference ratio corresponding to each type of interference neighboring cell.

[0095] In the embodiment of the present application, the interfering neighboring cells can be classified into the following categories according to the neighboring cell ID modulo 3:

[0096] Index set of type 0 interference neighbor cells: index0 = {i|PCI i mod3 = 0};

[0097] Type 1 interference neighbor cell index set: index1 = {i|PCI i mod3 = 1};

[0098] The second type of interference neighbor cell index set: index2 = {i|PCI i mod3=2}.

[0099] Where i represents a neighboring cell. After classifying the interfering neighboring cells, the PCI mod 3 status of the serving cell where the user terminal is located is determined. Without loss of generality, it is assumed that PCI mod 3 = 0 and only type 1 and type 2 interference are considered. Based on the parameter signal received power set corresponding to each type of interfering neighboring cell and the reference signal received power of the serving cell, the signal-to-interference ratio corresponding to each type of interfering neighboring cell is calculated as follows:

[0100] Where L(·) represents the linear transformation. Indicates the parameter signal receiving power set corresponding to the first type of interference neighboring cell, =(RSRP0) / (RSRP1) represents the reference signal received power set corresponding to the Type 2 interfering neighboring cell, k represents the reference signal received power of the kth neighboring cell, L(RSRP0) represents the reference signal received power of the serving cell, SIR1 represents the signal-to-interference ratio corresponding to the Type 1 interfering neighboring cell, and SIR2 represents the signal-to-interference ratio corresponding to the Type 2 interfering neighboring cell.

[0101] The above formula can be simplified to obtain the following formula:

[0102] Where, Indicates the cell with the largest RSRP among the first type interference neighboring cells. Indicates the cell with the largest RSRP among the Type 2 interference neighboring cells.

[0103] For example, the target signal-to-interference ratio (SIR) can be determined based on the SIR corresponding to each type of interfering neighboring cell. In this embodiment of the present application, the minimum SIR corresponding to all types of interfering neighboring cells can be determined as the target SIR. The target SIR can be expressed as SIR=min(SIR1, SIR2).

[0104] In the above embodiment, the signal-to-interference ratio corresponding to each type of interfering neighboring cell is obtained by calculating based on the parameter signal receiving power set corresponding to each type of interfering neighboring cell and the reference signal receiving power of the serving cell, and the target signal-to-interference ratio is determined based on the signal-to-interference ratio corresponding to each type of interfering neighboring cell. This can convert the parameter signal receiving power of the neighboring cell into a signal-to-interference ratio, and can integrate the interference intensity when determining the rate matching method, thereby achieving more refined control of the rate matching method and improving the anti-interference effect of the rate matching.

[0105] Step S304: Determine a second dimension interval of the current sample signal parameter in the signal-to-interference ratio dimension according to the target signal-to-interference ratio.

[0106] Exemplarily, the second dimension interval may be determined according to the signal-to-interference ratio interval to which the target signal-to-interference ratio belongs.

[0107] Step S305 : Grid positioning is performed according to the first dimension interval and the second dimension interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

[0108] For example, after determining the first dimensional interval of the current sample signal parameter in the signal strength dimension and the second dimensional interval in the signal-to-interference ratio dimension, grid positioning can be performed according to the first dimensional interval and the second dimensional interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

[0109] In the above embodiment, by determining the first dimensional interval of the current sample signal parameter in the signal strength dimension and determining the second dimensional interval of the current sample signal parameter in the signal-to-interference ratio dimension according to the target signal-to-interference ratio, it is possible to integrate signal parameters such as signal strength and interference intensity when determining the rate matching method, thereby solving the problem of poor anti-interference effect of the rate matching strategy in the related technology, and being able to more finely control the rate matching method, thereby improving the anti-interference effect of the rate matching.

[0110] Exemplarily, after determining the grid to which each sample signal parameter belongs, the first performance information corresponding to each grid may be determined according to the performance information of the user terminal under all sample signal parameters in each grid.

[0111] The first performance information may include a first performance value, such as a PRB throughput or a traffic rate. The performance values ​​corresponding to the sample signal parameters in each grid may be accumulated to obtain the first performance value of each grid.

[0112] Step S203: The initial grid model is trained according to the second sample signal data of the user terminal in the symbol-level rate matching mode to obtain second performance information corresponding to each grid in the initial grid model.

[0113] In an embodiment of the present application, as shown in FIG8 , after the initial grid model is trained based on the first sample signal data of the user terminal in the RE-level rate matching mode to obtain first performance information corresponding to each grid in the initial grid model, the initial grid model may also be trained based on the second sample signal data of the user terminal in the symbol-level rate matching mode to obtain second performance information corresponding to each grid in the initial grid model. The process of training the initial grid model based on the second sample signal data is the same as the process of training the initial grid model based on the first sample signal data in the above-mentioned embodiment, and is not further described here.

[0114] Step S204: rate matching is performed on the initial grid model according to the first performance information and the second performance information of each grid to obtain a preset grid model.

[0115] Exemplarily, the first performance information includes a first performance value, and the second performance information includes a second performance value. When rate matching is performed on the initial grid model based on the first performance information and the second performance information of each grid, if the first performance value of the grid is greater than the second performance value, the rate matching method associated with the corresponding grid is determined to be the RE-level rate matching method; if the first performance value of the grid is less than the second performance value, the rate matching method associated with the corresponding grid is determined to be the symbol-level rate matching method.

[0116] When the first performance value is equal to the second performance value, the RE-level rate matching mode or the symbol-level rate matching mode may be determined as the grid-associated rate matching mode.

[0117] It should be noted that by performing rate matching on the initial grid model according to the first performance information and the second performance information of each grid, a rate matching method with a higher performance value can be used as the target rate matching method corresponding to the grid.

[0118] The above embodiment, through grid model training and rate matching based on historical network data, is more suitable for the current actual wireless environment than traditional static rate matching and dynamic rate matching schemes, and is more beneficial for interference countermeasures in NR+LTE co-frequency scenarios, and can effectively improve the use effect in interference scenarios.

[0119] Please refer to Figure 10, which is a schematic diagram of another training grid model provided in an embodiment of the present application. As shown in Figure 10, in a DSS scenario, the initial grid model can be trained based on the first sample signal data of the user terminal in the RE-level rate matching mode to obtain first performance information corresponding to each grid in the initial grid model. The initial grid model is trained based on the second sample signal data of the user terminal in the symbol-level rate matching mode to obtain second performance information corresponding to each grid in the initial grid model. Then, the initial grid model is rate matched based on the first performance information and the second performance information of each grid to obtain a preset grid model.

[0120] The following will take the DSS scenario as an example to illustrate how to train the grid model.

[0121] In some embodiments, the initial grid model is trained based on the first sample signal data of the user terminal under the RE-level rate matching mode to obtain the first performance information corresponding to each grid in the initial grid model, which may include: determining the grid to which each sample signal parameter belongs based on the dimensional interval range corresponding to each sample signal parameter; and determining the first performance information of each corresponding grid based on the performance information of the user terminal under all sample signal parameters in each grid.

[0122] Please refer to FIG. 11 , which is a schematic flowchart of another sub-step of determining the grid to which the sample signal parameter belongs provided by an embodiment of the present application, and may include the following steps S401 to S407 .

[0123] Step S401: sequentially determine each sample signal parameter as the current sample signal parameter.

[0124] Step S402: Determine a first dimension interval of the current sample signal parameter in the signal strength dimension according to the reference signal received power of the serving cell in the current sample signal parameter.

[0125] Step S403: Perform signal-to-interference ratio mapping on at least one group of parameter signal received power in the current sample signal parameters to obtain a target signal-to-interference ratio.

[0126] Step S404: Determine a second dimension interval of the current sample signal parameter in the signal-to-interference ratio dimension according to the target signal-to-interference ratio.

[0127] It can be understood that steps S401 to S404 are the same as steps S301 to S304 described above, and are not described in detail here.

[0128] Step S405: Perform load calculation on at least one set of neighboring cell load information in the current sample signal parameters to obtain a target load.

[0129] Exemplarily, neighboring cell load information may include physical resource block (PRB) utilization; PRB is a resource directly used for transmission and sending of user data. PRB resource utilization is an important indicator for evaluating network load and is widely used in wireless network planning and optimization.

[0130] In some embodiments, load calculation is performed on at least one set of neighboring cell load information in the current sample signal parameters to obtain a target load, which may include: determining a target neighboring cell participating in the load calculation; and determining the target load based on the physical resource block utilization and the starting position of the physical resource block of the target neighboring cell.

[0131] It should be noted that the target neighboring cell refers to the interfering neighboring cell that participates in the load calculation. In the embodiment of the present application, since not all interfering neighboring cells generate significant interference, and the interference generated by some interfering neighboring cells can be treated as noise and ignored, it is necessary to first determine whether the interfering neighboring cell participates in the load calculation. The following will provide a detailed explanation of how to determine whether the interfering neighboring cell participates in the load calculation.

[0132] For example, the PRB utilization of the corresponding neighboring cell can be retrieved from the neighboring cell load information in the DSS scenario according to the above-mentioned multiple types of interference neighboring cell index sets. If the PRB utilization is not retrieved, the PRB utilization of the corresponding neighboring cell is set to zero. It should be noted that in the embodiment of the present application, the neighboring cell is the interfering cell.

[0133] Then, calculate the load corresponding to each type of interfering neighboring cell as follows:

[0134] In formula (1), Indicates that the cell with the largest RSRP is found in the neighboring cell with type 0 interference. i_max0 indicates the cell with the largest RSRP in the neighboring cell with type 0 interference. i_max0 Indicates the PRB utilization rate of the cell with the largest RSRP in the 0th type interference neighboring cell, and Lod0 indicates the load of the 0th type interference cell. In formula (2), Indicates that the cell with the largest RSRP is found in the first type of interference neighboring area, and i_max1 indicates the cell with the largest RSRP in the first type of interference neighboring area. i_max1 Indicates the PRB utilization rate of the cell with the largest RSRP in the first type of interference neighboring cell, and Lod1 indicates the load of the first type of interference cell. In formula (3), Indicates that the cell with the largest RSRP is found in the second type of interference neighboring area, and i_max2 indicates the cell with the largest RSRP in the second type of interference neighboring area.i_max2 Indicates the PRB utilization rate of the cell with the largest RSRP among the interference neighbor cells of the second type. Lod2 represents the load of the interference cells of the second type.

[0135] After determining the load corresponding to each type of interference neighbor cell, the target neighbor cells participating in the load calculation can be determined. Exemplarily, the target neighbor cells can be determined according to the reference signal received power of the serving cell and the reference signal received power of each neighbor cell. In the embodiments of the present application, the target neighbor cells participating in the load calculation can be determined according to the formula RSRP0 - RSRP i_maxk <SIR + Th

[0136] In the formula, RSRP i_maxk represents the cell with the largest RSRP among the interference cells of the k-th type; SIR represents the target signal-to-interference ratio; Th is the offset value, which defaults to 3 dB, and of course can also be other values.

[0137] Exemplarily, if RSRP0 = -80, RSRP i_max0 = -83, RSRP i_max1 = -85, RSRP i_max2 = -100, SIR = 3 dB, then since RSRP0 - RSRP i_max0 = 3 < 3 + 3, the load of the interference neighbor cells of the 0th type is included in the load calculation; since RSRP0 - RSRP i_max1 = 5 < 3 + 3, the load of the interference neighbor cells of the 1st type is included in the load calculation; since RSRP0 - RSRP i_max2 = 20 > 3 + 3, the load of the interference neighbor cells of the 2nd type is not included in the load calculation. That is, the cells in the interference neighbor cells of the 0th type and the cells in the interference neighbor cells of the 1st type can be used as the target neighbor cells.

[0138] Exemplarily, if RSRP0 = -80, RSRP i_max0 = -105, RSRP i_max1 = -110, RSRP i_max2 = -107, SIR = 25 dB, then since RSRP0 - RSRP i_max0 = 25 < 28, the load of the interference neighbor cells of the 0th type is included in the load calculation; since RSRP0 - RSRP i_max1 = 30 > 25 + 3, the load of the interference neighbor cells of the 1st type is not included in the load calculation; since RSRP0 - RSRP i_max2 = 27 < 25 + 3, the load of the interference neighbor cells of the 2nd type is included in the load calculation. That is, the cells in the interference neighbor cells of the 0th type and the cells in the interference neighbor cells of the 2nd type are used as the target neighbor cells.

[0139] By determining the target neighboring areas involved in load calculation, the neighboring areas that produce less interference can be eliminated to avoid interference with subsequent target load calculations and improve accuracy.

[0140] For example, for each type of neighboring cell participating in the neighboring cell load calculation, when determining the target load based on the physical resource block utilization rate and the starting position of the physical resource block of the target neighboring cell, the interval occupied by each type of neighboring cell in the physical resource block can be calculated separately, and the union of all occupied intervals can be calculated, and the obtained union interval can be used as the target load.

[0141] For example, for the type 0 interference neighboring cell and the type 1 interference neighboring cell, if the starting position of the physical resource block of the type 0 interference neighboring cell is 0 and the physical resource block utilization rate is 20%, and the starting position of the physical resource block of the type 1 interference neighboring cell is 1 / 3 and the physical resource block utilization rate is 70%, then the interval occupied by the physical resource blocks of the type 0 interference neighboring cell is [0,0.2], and the intervals occupied by the physical resource blocks of the type 1 interference neighboring cell are [1 / 3,1] and [0,1 / 30], the union intervals are [0,0.2] and [1 / 3,1], and the target load is 13 / 15.

[0142] The target load can be determined by performing interval union based on the physical resource block utilization and the starting position of the physical resource block of the target neighboring cell.

[0143] Step S406: Determine the third dimension interval of the current sample signal parameter on the neighboring cell load dimension according to the target load.

[0144] Exemplarily, after load calculation is performed on at least one set of neighboring cell load information in the current sample signal parameter to obtain a target load, a third-dimensional interval of the current sample signal parameter in the neighboring cell load dimension can be determined based on the target load. For example, the third-dimensional interval of the previous sample signal parameter in the neighboring cell load dimension can be determined based on the load interval to which the target load belongs.

[0145] Step S407: performing grid positioning according to the first dimension interval, the second dimension interval, and the third dimension interval to obtain the grid to which the current sample signal parameter belongs.

[0146] For example, after determining the first dimensional interval of the current sample signal parameter in the signal strength dimension, the second dimensional interval in the signal-to-interference ratio dimension, and the third dimensional interval in the neighboring cell load dimension, grid positioning can be performed according to the first dimensional interval, the second dimensional interval, and the third dimensional interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

[0147] Exemplarily, after determining the grid to which each sample signal parameter belongs, the first performance information corresponding to each grid may be determined according to the performance information of the user terminal under all sample signal parameters in each grid.

[0148] In an embodiment of the present application, in a DSS scenario, after the initial grid model is trained based on the first sample signal data of the user terminal in the RE-level rate matching mode to obtain the first performance information corresponding to each grid in the initial grid model, the initial grid model may also be trained based on the second sample signal data of the user terminal in the symbol-level rate matching mode to obtain the second performance information corresponding to each grid in the initial grid model. The process of training the initial grid model based on the second sample signal data is the same as the process of training the initial grid model based on the first sample signal data in the above-mentioned embodiment, and is not further described here.

[0149] In the above embodiment, by performing grid positioning according to the first dimensional interval, the second dimensional interval and the third dimensional interval, the grid to which the current sample signal parameter belongs is obtained, and it is possible to integrate signal parameters such as signal strength and interference intensity when determining the rate matching method, thereby solving the problem of poor anti-interference effect of the rate matching strategy in the related technology, and being able to control the rate matching method more finely, thereby improving the anti-interference effect of the rate matching.

[0150] Exemplarily, after obtaining the first performance information and second performance information corresponding to each grid in the initial grid model, rate matching can be performed on the initial grid model based on the first performance information and second performance information of each grid to obtain a preset grid model. For example, if the first performance value of the grid is greater than the second performance value, the rate matching method associated with the corresponding grid is determined to be the RE-level rate matching method; if the first performance value of the grid is less than the second performance value, the rate matching method associated with the corresponding grid is determined to be the symbol-level rate matching method.

[0151] It should be noted that by performing rate matching on the initial grid model according to the first performance information and the second performance information of each grid, a rate matching method with a higher performance value can be used as the target rate matching method corresponding to the grid.

[0152] The above embodiment, by performing grid model training and rate matching based on historical network data, is more suitable for the current actual wireless environment than traditional static rate matching and dynamic rate matching schemes, is more beneficial for interference countermeasures in DSS scenarios, and can effectively improve the use effect in interference scenarios.

[0153] Please refer to FIG. 12 , which is a schematic flowchart of sub-steps for determining a target grid provided in an embodiment of the present application. Step S102 may include the following steps S501 to S503 .

[0154] Step S501: Determine a first dimension interval corresponding to a target grid according to the power interval to which the first reference signal received power belongs.

[0155] For example, as shown in FIG5 , in the NR+LTE co-frequency scenario, the first dimension interval corresponding to the target grid can be determined according to the power interval to which the first reference signal received power belongs. For example, the first dimension interval is RSRP(-110,-90].

[0156] Step S502: Determine a second dimension interval corresponding to the target grid according to the power interval to which the second reference signal received power belongs.

[0157] As shown in Figure 5, in the NR+LTE co-frequency scenario, the second dimension interval corresponding to the target grid can be determined based on the power interval to which the second reference signal received power belongs. For example, the second reference signal received power can be mapped to the signal-to-interference ratio to obtain the target signal-to-interference ratio, and then the second dimension interval can be determined based on the signal-to-interference ratio interval of the target signal-to-interference ratio in the signal-to-interference ratio dimension. For example, the second dimension interval is sir(3,10].

[0158] Step S503: performing grid positioning in the grid model according to the first dimension interval and the second dimension interval to obtain a target grid.

[0159] For example, after determining the first dimension interval and the second dimension interval corresponding to the target grid, grid positioning can be performed in the grid model based on the first dimension interval and the second dimension interval to obtain the target grid. For example, if the first dimension interval is RSRP(-110,-90] and the second dimension interval is sir(3,10], then the grid corresponding to RSRP(-110,-90] and sir(3,10] in the grid model can be determined as the target grid.

[0160] The above embodiment obtains the target grid by performing grid positioning in the grid model according to the first dimensional interval and the second dimensional interval, and can integrate signal parameters such as signal strength and interference strength when determining the rate matching method, thereby solving the problem of poor anti-interference effect of the rate matching strategy in the related technology, and can control the rate matching method more finely, thereby improving the anti-interference effect of the rate matching.

[0161] Please refer to FIG. 13 , which is a schematic flowchart of another sub-step of determining a target grid provided in an embodiment of the present application. Step S102 may further include the following steps S601 to S604 .

[0162] Step S601: Determine a first dimension interval corresponding to a target grid according to the power interval to which the first reference signal received power belongs.

[0163] 6 , in a DSS scenario, the first dimension interval corresponding to the target grid can be determined based on the power interval to which the first reference signal received power belongs. For example, the first dimension interval is RSRP(-inf,-110].

[0164] Step S602: Determine a second dimension interval corresponding to the target grid according to the power interval to which the second reference signal received power belongs.

[0165] As shown in Figure 6, in a DSS scenario, the second dimension interval corresponding to the target grid can be determined based on the power interval to which the second reference signal received power belongs. For example, the second reference signal received power can be mapped to the signal-to-interference ratio to obtain the target signal-to-interference ratio, and then the second dimension interval can be determined based on the signal-to-interference ratio interval of the target signal-to-interference ratio in the signal-to-interference ratio dimension. For example, the second dimension interval is sir(10,20].

[0166] Step S603: Determine the third dimension interval corresponding to the target grid according to the load interval to which the neighboring cell load information belongs.

[0167] As shown in Figure 6, in a DSS scenario, the third dimension interval corresponding to the target grid can be determined based on the load interval to which the neighboring cell load information belongs. For example, the second reference signal received power can be used for load calculation to obtain the target load, and then the third dimension interval is determined based on the load interval of the target load in the neighboring cell load dimension. For example, the third dimension interval is payload(0.1,0.3].

[0168] Step S604: locating the grid in the grid model according to the first dimension interval, the second dimension interval, and the third dimension interval, and determining the located grid as the target grid.

[0169] Exemplarily, after determining the first dimension interval, the second dimension interval, and the third dimension interval corresponding to the target grid, grid positioning can be performed in the grid model according to the first dimension interval, the second dimension interval, and the third dimension interval to obtain the target grid. For example, if the first dimension interval is RSRP(-inf,-110], the second dimension interval is sir(10,20], and the third dimension interval is payload(0.1,0.3], then the grid corresponding to RSRP(-inf,-110], sir(10,20], and payload(0.1,0.3] in the grid model can be determined as the target grid.

[0170] The above embodiment, by performing grid positioning in the grid model according to the first dimensional interval, the second dimensional interval and the third dimensional interval, can realize the fusion of signal parameters such as signal strength and interference intensity when determining the rate matching method, thereby solving the problem of poor anti-interference effect of the rate matching strategy in the related technology, and can control the rate matching method more finely, thereby improving the anti-interference effect of the rate matching.

[0171] Please refer to Figure 14, which is a schematic block diagram of a communication control device 700 provided in an embodiment of the present application, wherein the communication control device 700 is a base station in an embodiment of the present application.

[0172] As shown in FIG14 , the communication control device 700 includes: a signal parameter acquisition module 701 , a grid determination module 702 and a scheduling module 703 .

[0173] The signal parameter acquisition module 701 is configured to acquire a first signal parameter of a serving cell where a user terminal is located and a second signal parameter of a neighboring cell of the serving cell.

[0174] The grid determination module 702 is configured to determine a target grid to be matched by the user terminal from a preset grid model according to the first signal parameter and the second signal parameter. The grid model includes a plurality of grids.

[0175] The scheduling module 703 is configured to schedule the user terminal according to the rate matching method corresponding to the target grid.

[0176] In some embodiments, the grid determination module 702 is also used to determine the first dimensional interval corresponding to the target grid based on the power interval to which the first reference signal receiving power belongs; determine the second dimensional interval corresponding to the target grid based on the power interval to which the second reference signal receiving power belongs; and perform grid positioning in the grid model based on the first dimensional interval and the second dimensional interval to obtain the target grid.

[0177] In some embodiments, the grid determination module 702 is further configured to determine a third dimension interval corresponding to the target grid according to the load interval to which the neighboring cell load information belongs.

[0178] In some embodiments, the grid determination module 702 is further configured to locate the grid in the grid model according to the first dimension interval, the second dimension interval, and the third dimension interval, and determine the located grid as the target grid.

[0179] In some embodiments, the grid determination module 702 is also used to construct an initial grid model; the initial grid model is trained according to the first sample signal data of the user terminal under the RE-level rate matching mode, and the first performance information corresponding to each grid in the initial grid model is obtained; the initial grid model is trained according to the second sample signal data of the user terminal under the symbol-level rate matching mode, and the second performance information corresponding to each grid in the initial grid model is obtained; the initial grid model is rate matched according to the first performance information and the second performance information of each grid to obtain a preset grid model.

[0180] In some embodiments, the grid determination module 702 is also used to determine the grid to which each sample signal parameter belongs based on the dimensional interval range corresponding to each sample signal parameter; and determine the first performance information of each corresponding grid based on the performance information of the user terminal under all sample signal parameters in each grid.

[0181] In some embodiments, the grid determination module 702 is also used to determine each sample signal parameter as the current sample signal parameter in turn; determine the first dimensional interval of the current sample signal parameter in the signal strength dimension based on the reference signal receiving power of the service cell in the current sample signal parameter; perform signal-to-interference ratio mapping on at least one group of parameter signal receiving powers in the current sample signal parameter to obtain a target signal-to-interference ratio; determine the second dimensional interval of the current sample signal parameter in the signal-to-interference ratio dimension based on the target signal-to-interference ratio; perform grid positioning based on the first dimensional interval and the second dimensional interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

[0182] In some embodiments, the grid determination module 702 is also used to classify interference neighboring cells for at least one set of parameter signal receiving powers to obtain multiple types of interference neighboring cells; calculate the signal-to-interference ratio corresponding to each type of interference neighboring cell based on the parameter signal receiving power set corresponding to each type of interference neighboring cell and the reference signal receiving power of the service cell; and determine the target signal-to-interference ratio based on the signal-to-interference ratio corresponding to each type of interference neighboring cell.

[0183] In some embodiments, the grid determination module 702 is also used to perform load calculation on at least one set of neighboring area load information in the current sample signal parameter to obtain a target load; determine the third dimensional interval of the current sample signal parameter on the neighboring area load dimension based on the target load; perform grid positioning based on the first dimensional interval, the second dimensional interval and the third dimensional interval to obtain the grid to which the current sample signal parameter belongs.

[0184] In some embodiments, the grid determination module 702 is further configured to determine a target neighboring cell that participates in the load calculation; and determine the target load based on the physical resource block utilization rate and the starting position of the physical resource block of the target neighboring cell.

[0185] In some embodiments, the grid determination module 702 is also used to determine that the rate matching method associated with the corresponding grid is the RE-level rate matching method if the first performance value of the grid is greater than the second performance value; if the first performance value of the grid is less than the second performance value, then determine that the rate matching method associated with the corresponding grid is the symbol-level rate matching method.

[0186] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. The computer program includes program instructions, and the processor executes the above program instructions to implement any communication control method provided in the embodiment of the present application.

[0187] For example, the program is loaded by the processor and can execute the following steps: obtain the first signal parameter of the service cell where the user terminal is located and the second signal parameter of the neighboring cell of the service cell; determine the target grid matching the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, and the grid model includes multiple grids; schedule the user terminal according to the rate matching method corresponding to the target grid.

[0188] Those skilled in the art will appreciate that all or some of the steps in the methods, systems, and functional modules / units in the devices disclosed above may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0189] In a hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a storable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those of ordinary skill in the art, the term storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0190] The preferred embodiments of the present application are described above with reference to the accompanying drawings, but are not intended to limit the scope of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present application shall fall within the scope of the present application.

Claims

1. A communication control method, the method comprising: Acquire a first signal parameter of a serving cell where a user terminal is located and a second signal parameter of a neighboring cell of the serving cell; Determining a target grid to be matched by the user terminal from a preset grid model according to the first signal parameter and the second signal parameter, where the grid model includes a plurality of grids; The user terminal is scheduled according to the rate matching mode corresponding to the target grid.

2. The communication control method according to claim 1, wherein: The first signal parameter includes a first reference signal received power, and the second signal parameter includes a second reference signal received power; and determining, according to the first signal parameter and the second signal parameter, a target grid for matching the user terminal from a preset grid model, comprises: Determining a first dimension interval corresponding to the target grid according to the power interval to which the first reference signal received power belongs; Determining a second dimension interval corresponding to the target grid according to the power interval to which the second reference signal received power belongs; The grid is positioned in the grid model according to the first dimensional interval and the second dimensional interval to obtain the target grid.

3. The communication control method according to claim 2, wherein: The second signal parameter also includes neighboring cell load information; and before performing grid positioning in the grid model according to the first dimensional interval and the second dimensional interval and obtaining the target grid, the method further includes: Determine the third dimension interval corresponding to the target grid according to the load interval to which the neighboring cell load information belongs; The performing grid positioning in the grid model according to the first dimensional interval and the second dimensional interval to obtain the target grid also includes: The grid is positioned in the grid model according to the first dimensional interval, the second dimensional interval, and the third dimensional interval, and the positioned grid is determined as the target grid.

4. The communication control method according to claim 1, wherein: The method further comprises: Construct the initial grid model; The initial grid model is trained according to the first sample signal data of the user terminal in the RE level rate matching mode to obtain first performance information corresponding to each grid in the initial grid model; The initial grid model is trained according to the second sample signal data of the user terminal in the symbol-level rate matching mode to obtain second performance information corresponding to each grid in the initial grid model; The initial grid model is rate matched according to the first performance information and the second performance information of each grid to obtain the preset grid model.

5. The communication control method according to claim 4, wherein: The initial grid model includes grids of multiple signal dimensions, each grid corresponds to a signal dimension in a different interval range, the first sample signal data includes multiple sample signal parameters and performance information of the user terminal under the multiple sample signal parameters; the training of the initial grid model according to the first sample signal data of the user terminal in the RE level rate matching mode to obtain the first performance information corresponding to each grid in the initial grid model includes: Determining the grid to which each of the sample signal parameters belongs according to the dimensional interval range corresponding to each of the sample signal parameters; According to the performance information of the user terminal under all sample signal parameters in each of the grids, the first performance information corresponding to each of the grids is determined.

6. The communication control method according to claim 5, wherein: The initial grid model includes a signal strength dimension and a signal-to-interference ratio dimension, and the sample signal parameters include a reference signal received power of the serving cell and at least one set of parameter signal received power of a neighboring cell of the serving cell; The determining, according to the dimensional interval range corresponding to each of the sample signal parameters, the grid to which each of the sample signal parameters belongs includes: sequentially determining each of the sample signal parameters as a current sample signal parameter; Determine, according to the reference signal received power of the serving cell in the current sample signal parameter, a first dimension interval of the current sample signal parameter in the signal strength dimension; Performing signal-to-interference ratio mapping on at least one group of parameter signal reception powers in the current sample signal parameters to obtain a target signal-to-interference ratio; Determining, according to the target signal-to-interference ratio, a second dimension interval of the current sample signal parameter in the signal-to-interference ratio dimension; Grid positioning is performed according to the first dimensional interval and the second dimensional interval to obtain the grid to which the current sample signal parameter belongs, until the grid to which each sample signal parameter belongs is determined.

7. The communication control method according to claim 6, wherein: The performing signal-to-interference ratio mapping on at least one group of parameter signal received power in the current sample signal parameters to obtain a target signal-to-interference ratio includes: Classifying the interference neighboring cells on the at least one set of parameter signal reception powers to obtain multiple types of interference neighboring cells; Calculate according to the parameter signal received power set corresponding to each type of the interfering neighboring cell and the reference signal received power of the serving cell to obtain the signal-to-interference ratio corresponding to each type of the interfering neighboring cell; The target signal-to-interference ratio is determined according to the signal-to-interference ratio corresponding to each type of the interfering neighboring cells.

8. The communication control method according to claim 6, wherein: The initial grid model further includes a neighboring cell load dimension, and the sample signal parameter further includes at least one group of neighboring cell load information of neighboring cells of the serving cell; and performing grid positioning according to the first dimension interval and the second dimension interval to obtain the grid to which the current sample signal parameter belongs includes: Performing load calculation on at least one set of neighboring cell load information in the current sample signal parameter to obtain a target load; Determine, according to the target load, a third dimension interval of the current sample signal parameter on the neighboring area load dimension; Grid positioning is performed according to the first dimensional interval, the second dimensional interval, and the third dimensional interval to obtain the grid to which the current sample signal parameter belongs.

9. The communication control method according to claim 8, wherein: The neighboring cell load information includes physical resource block utilization; and performing load calculation on at least one set of neighboring cell load information in the current sample signal parameter to obtain a target load includes: Determine the target neighborhoods to participate in load calculation; The target load is determined according to the physical resource block utilization rate and the starting position of the physical resource block of the target neighboring area.

10. The communication control method according to claim 4, wherein: The first performance information includes a first performance value, and the second performance information includes a second performance value; and performing rate matching on the initial grid model according to the first performance information and the second performance information of each grid includes: If the first performance value of the grid is greater than the second performance value, determining that the rate matching mode associated with the corresponding grid is the RE-level rate matching mode; If the first performance value of the grid is less than the second performance value, it is determined that the rate matching mode associated with the corresponding grid is the symbol-level rate matching mode.

11. A base station, comprising a processor and a memory; The memory is used to store programs; The processor is configured to execute the program and implement the communication control method according to any one of claims 1 to 10 when executing the program.

12. A computer-readable storage medium for readable storage, wherein the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the communication control method according to any one of claims 1 to 10.

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