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

Abstract

The invention relates to the technical field of communication, in particular to a communication control method and device, a base station and a computer readable storage medium, and the method comprises the steps: obtaining a first signal parameter of a service cell where a user terminal is located and a second signal parameter of an adjacent cell of the service cell; according to the first signal parameter and the second signal parameter, a target grid matched with the user terminal is determined from a preset grid model, and the grid model comprises a plurality of grids; and scheduling the user terminal according to the rate matching mode corresponding to the target grid. According to the method, the target grid is determined according to the first signal parameter of the serving cell and the second signal parameter of the adjacent cell, and the user terminal is scheduled according to the rate matching mode corresponding to the target grid, so that signal parameters such as signal strength and interference strength are fused when the rate matching mode is determined; the rate matching mode can be controlled more finely, and the anti-interference effect of rate matching is improved.

Description

Technical Field

[0001] The present invention 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

[0002] At present, in the DSS (Dynamic Spectrum Sharing) scenario and the NR (New Radio) + LTE (Long Term Evolution) co-frequency scenario, the PDSCH (Physical Downlink Shared Channel) of the NR terminal will be interfered by the neighboring LTE CRS (Common Reference Signal), which has a great impact on the downlink traffic. Therefore, it is necessary to consider NR's anti-interference solution, such as rate matching.

[0003] In the related technology, the commonly used rate matching strategies are mainly dynamic rate matching strategy and static rate matching strategy. The static rate matching strategy is based on the serving cell and uses the RE (Resource Element) level rate matching strategy or the symbol level rate matching strategy. The dynamic rate matching strategy also implements different rate matching strategies under certain conditions by configuring parameters, but these two methods are not flexible enough in dealing with interference changes and have poor anti-interference effects.

[0004] Therefore, how to improve the anti-interference effect of rate matching becomes an urgent problem to be solved. Summary of the invention

[0005] The present invention provides a communication control method, device, base station and computer-readable storage medium, which solve the problem of poor anti-interference effect of rate matching strategy in related technologies.

[0006] In a first aspect, the present invention provides a communication control method, the method comprising:

[0007] Obtain 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; determine a target grid that matches the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, wherein the grid model includes multiple grids; schedule the user terminal based on a rate matching method corresponding to the target grid.

[0008] The above-mentioned communication control method determines the target grid according to the first signal parameter of the service 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, 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.

[0009] In a second aspect, the present invention further provides a communication control device, the device comprising:

[0010] A signal parameter acquisition module, used 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;

[0011] A grid determination module, 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, wherein the grid model includes a plurality of grids;

[0012] The scheduling module is used to schedule the user terminal according to the rate matching method corresponding to the target grid.

[0013] In a third aspect, the present invention further provides a base station, the base station comprising a memory and a processor;

[0014] The memory is used to store computer programs;

[0015] The processor is used to execute the computer program and implement the above-mentioned communication control method when executing the computer program.

[0016] In a fourth aspect, the present invention further provides a computer-readable storage medium, 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 above-mentioned communication control method.

[0017] The present invention discloses a communication control method, device, base station and computer-readable storage medium, the communication control method comprising: 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 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 comprising a plurality of grids; scheduling the user terminal according to a rate matching method corresponding to the target grid. The above communication control method determines the target grid according to the first signal parameter of the service 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 strength when determining the rate matching method, solving the problem of poor anti-interference effect of the rate matching strategy in the related art, and can control the rate matching method more finely, thereby improving the anti-interference effect of rate matching.

[0018] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0020] Figure 1 is a schematic diagram of a DSS scenario provided by an embodiment of the present invention;

[0021] Figure 2 It is a schematic diagram of an NR+LTE co-frequency scenario provided by an embodiment of the present invention;

[0022] Figure 3 is a structural diagram of a base station provided by an embodiment of the present invention;

[0023] Figure 4 is a schematic flow chart of a communication control method provided by an embodiment of the present invention;

[0024] Figure 5 is a schematic diagram of a grid model provided by an embodiment of the present invention;

[0025] Figure 6 is a schematic diagram of another grid model provided by an embodiment of the present invention;

[0026] Figure 7 is a schematic flow chart of sub-steps of training a grid model provided by an embodiment of the present invention;

[0027] Figure 8 is a schematic diagram of a training grid model provided by an embodiment of the present invention;

[0028] Fig. 9 is a schematic flow chart of sub-steps of determining a grid to which a sample signal parameter belongs provided by an embodiment of the present invention;

[0029] Fig.10 is a schematic diagram of another training grid model provided by an embodiment of the present invention;

[0030] Fig.11 is a schematic flow chart of another sub-step of determining the grid to which the sample signal parameter belongs provided by an embodiment of the present invention;

[0031] Fig.12 is a schematic flow chart of sub-steps of determining a target grid provided by an embodiment of the present invention;

[0032] Fig.13 is a schematic flow chart of another sub-step of determining a target grid provided by an embodiment of the present invention;

[0033] Fig.14 It is a schematic block diagram of a communication control device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0036] It should be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0037] It should also be understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0038] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0039] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present invention, and have no special meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0040] The embodiments of the present invention provide a communication control method, device, base station and computer-readable storage medium. The communication control method can be applied to a base station, by determining a target grid according to a first signal parameter of a serving cell and a second signal parameter of a neighboring cell, and scheduling a user terminal according to a rate matching method corresponding to the target grid, so as to integrate signal parameters such as signal strength and interference strength when determining the rate matching method, solve the problem of poor anti-interference effect of the rate matching strategy in the related art, and can more finely control the rate matching method, thereby improving the anti-interference effect of rate matching.

[0041] 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.

[0042] It should be noted that the embodiment of the present invention provides a communication control method that can be applied to DSS scenarios and NR+LTE co-frequency scenarios. Figure 1 and Figure 2 , Figure 1 is a schematic diagram of a DSS scenario provided by an embodiment of the present invention, Figure 2 It is a schematic diagram of an NR+LTE co-frequency scenario provided by an embodiment of the present invention.

[0043] See also Figure 3 , Figure 3 1 is a schematic diagram of a base station 1000 provided in an embodiment of the present invention. The base station 1000 may include a processor 1001 and a memory 1002, wherein the processor 1001 and the memory 1002 may be connected via a communication bus, such as an Inter-integrated Circuit (I2C) bus or any other suitable communication bus.

[0044] 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, which, when executed, may enable the processor to execute the communication control method described in any embodiment.

[0045] The processor 1001 is used to provide computing and control capabilities to support the operation of the entire base station 1000 .

[0046] 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 types of processors such as programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. A general-purpose processor may be a microprocessor, or a general-purpose processor may be any conventional processor.

[0047] In one embodiment, the processor 1001 is used to run a computer program stored in the memory 1002 to implement the following steps:

[0048] Obtain a first signal parameter of a service cell where the user terminal is located and a second signal parameter of a neighboring cell of the service cell; determine a target grid that matches the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, where the grid model includes multiple grids; schedule the user terminal based on a rate matching method corresponding to the target grid.

[0049] In one embodiment, the first signal parameter includes a first reference signal received power, and the second signal parameter includes a second reference signal received power; when the processor 1001 determines the target grid matching the user terminal from a preset grid model according to the first signal parameter and the second signal parameter, it is used to implement:

[0050] According to the power interval to which the first reference signal receiving power belongs, the first dimensional interval corresponding to the target grid is determined; according to the power interval to which the second reference signal receiving power belongs, the second dimensional interval corresponding to the target grid is determined; according to the first dimensional interval and the second dimensional interval, the grid is positioned in the grid model to obtain the target grid.

[0051] In one embodiment, the second signal parameter further includes neighboring cell load information; before the processor 1001 performs grid positioning in the grid model according to the first dimension interval and the second dimension interval to obtain the target grid, it is also used to implement:

[0052] According to the load interval to which the neighboring cell load information belongs, the third dimension interval corresponding to the target grid is determined.

[0053] In one embodiment, when the processor 1001 performs grid positioning in the grid model according to the first dimension interval and the second dimension interval to obtain the target grid, it is also used to implement:

[0054] The grid is positioned in the grid model according to the first dimension interval, the second dimension interval and the third dimension interval, and the positioned grid is determined as the target grid.

[0055] In one embodiment, the processor 1001 is further configured to implement:

[0056] Construct an initial grid model; train the initial grid model according to the first sample signal data of the user terminal in the RE-level rate matching mode, and obtain the first performance information corresponding to each grid in the initial grid model; train the initial grid model according to the second sample signal data of the user terminal in the symbol-level rate matching mode, and obtain the second performance information corresponding to each grid in the initial grid model; perform rate matching on the initial grid model according to the first performance information and the second performance information of each grid, and obtain a preset grid model.

[0057] 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 in the RE level rate matching mode and obtains the first performance information corresponding to each grid in the initial grid model, it is used to implement:

[0058] According to the dimensional interval range corresponding to each sample signal parameter, the grid to which each sample signal parameter belongs is determined; according to the performance information of the user terminal under all sample signal parameters in each grid, the first performance information of each corresponding grid is determined.

[0059] 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 power 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:

[0060] 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 according to the reference signal received power of the serving cell in the current sample signal parameter; perform signal-to-interference ratio mapping on at least one group of parameter signal received 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 according to the target signal-to-interference ratio; perform 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.

[0061] In one embodiment, when the processor 1001 performs 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, it is configured to implement:

[0062] At least one set of parameter signal receiving power is classified into interference neighboring cells to obtain multiple types of interference neighboring cells; a signal-to-interference ratio corresponding to each type of interference neighboring cell is calculated based on a parameter signal receiving power set corresponding to each type of interference neighboring cell and a reference signal receiving power of a service cell; a target signal-to-interference ratio is determined based on the signal-to-interference ratio corresponding to each type of interference neighboring cell.

[0063] In one embodiment, the initial grid model further includes a neighboring cell load dimension, and the sample signal parameter further includes at least one set of neighboring cell load information of the neighboring cells of the serving cell; when the processor 1001 implements 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, it is used to implement:

[0064] Perform load calculation on at least one set of neighboring area load information in the current sample signal parameters to obtain the target load; determine the third dimensional interval of the current sample signal parameters 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 parameters belong.

[0065] 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 parameter to obtain the target load, it is used to implement:

[0066] Determine the target neighboring area to participate in the load calculation; determine the target load according to the physical resource block utilization rate and the starting position of the physical resource block of the target neighboring area.

[0067] 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:

[0068] 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.

[0069] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. The following embodiments and features of the embodiments can be combined with each other without conflict. Figure 4 , Figure 4 FIG. 1 is a schematic flow chart of a communication control method provided by an embodiment of the present invention. Figure 4 As shown, the communication control method includes steps S101 to S103.

[0070] 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.

[0071] It should be noted that an embodiment of the present invention 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 performs communication control on the user terminal.

[0072] 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. Among them, the first signal parameter may include the first reference signal received power (ReferenceSignal Receiving Power, RSRP). In the NR+LTE co-frequency scenario, the second signal parameter may include the second reference signal received power. In the DSS scenario, the second signal parameter may include the neighboring cell load information in addition to the second reference signal received power.

[0073] 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 according to the first signal parameters of the serving cell and the second signal parameters of the neighboring cell.

[0074] Step S102: Determine a target grid that matches 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.

[0075] In some embodiments, after obtaining 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, the target grid matching the user terminal can be determined from a preset grid model based on the first signal parameter and the second signal parameter, and the grid model includes multiple grids.

[0076] It should be noted that, in the embodiment of the present invention, different scenes correspond to different grid models, wherein the grid model includes a plurality of grids.

[0077] See also Figure 5 , Figure 5 is a schematic diagram of a grid model provided by an embodiment of the present invention, Figure 5 This is the grid model corresponding to the NR+LTE co-frequency scenario. In the NR+LTE co-frequency scenario, the dimensions in the grid model may include the signal strength dimension and the signal-to-interference ratio dimension, and each grid corresponds to a rate matching method.

[0078] For example, Figure 5 As shown, in the NR+LTE co-frequency scenario, the target grid that the user terminal matches can be determined from the grid model based on the first reference signal received power and the second reference signal received power. For example, the first dimension interval of the first reference signal received power in the signal strength dimension can be determined, and the second dimension interval of the second reference signal received power in the signal-to-interference ratio dimension can be determined, and then the 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.

[0079] See also Figure 6 , Figure 6 is a schematic diagram of another grid model provided by an embodiment of the present invention, Figure 6 This is a grid model corresponding to the DSS scenario. In the DSS scenario, the dimensions in the grid model may include the signal strength dimension, the signal-to-interference ratio dimension, and the neighboring cell load dimension, and each grid corresponds to a rate matching method.

[0080] For example, Figure 6 As shown, in the DSS scenario, the target grid that the user terminal matches 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 dimensional interval of the first reference signal received power in the signal strength dimension can be determined, the second dimensional interval of the second reference signal received power in the signal-to-interference ratio dimension can be determined, and the third dimensional interval of the neighboring cell load information in the neighboring cell load dimension can be determined, and then the grid positioning can be performed in the grid model according to the first dimensional interval, the second dimensional interval, and the third dimensional interval to obtain the target grid.

[0081] Step S103: Schedule the user terminal according to the rate matching method corresponding to the target grid.

[0082] In some embodiments, after determining the 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 user terminal may be scheduled according to a rate matching method corresponding to the target grid.

[0083] Exemplarily, the rate matching mode corresponding to the target grid may be obtained, and the user terminal may be scheduled according to the rate matching mode corresponding to the target grid. The specific scheduling process may refer to the relevant technology and is not limited here.

[0084] 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 matching can be an RE level rate matching mode or a symbol level rate matching mode.

[0085] In the above embodiment, the target grid for matching the user terminal is determined from the grid model according to 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 being able to control the rate matching method more finely, thereby improving the anti-interference effect of the rate matching.

[0086] 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.

[0087] See also Figure 7 , Figure 7 is a schematic flow chart of sub-steps of training a grid model provided by an embodiment of the present invention, such as Figure 7 As shown, the training process of the grid model may include the following steps S201 to S204.

[0088] Step S201: construct an initial grid model.

[0089] 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.

[0090] Exemplarily, in the NR+LTE co-frequency scenario, the 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, and for each category of signal strength dimension, the signal-to-interference ratio dimension may be divided into M intervals. The values ​​of K and M may be set according to actual conditions, and the specific values ​​are not limited here.

[0091] 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.

[0092] Exemplarily, 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, and 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 may be set according to actual conditions, and the specific value is not limited here.

[0093] In some implementations, when K=3, M=5, and N=5, a non-equal interval division method can be adopted to divide the signal strength dimension into three intervals: RSRP(-inf,-110], RSRP(-110,-90], RSRP(-90,inf), the signal-to-interference ratio dimension is divided into five 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 five intervals: paylo ad(-inf,0.1], payload(0.1,0.3], payload(0.3,0.5], payload(05,0.7], payload(0.7,inf). Then, the grids in the initial grid model are divided into two categories: the grids corresponding to the RE-level rate matching method and the grids corresponding to the symbol-level rate method. According to the signal strength dimension, the signal-to-interference ratio dimension and the neighboring cell load dimension, a three-dimensional grid of K×M×N is generated in each category, and each grid is numbered and the grid ID is recorded.

[0094] Step S202: 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 first performance information corresponding to each grid in the initial grid model.

[0095] See also Figure 8 , Figure 8 is a schematic diagram of a training grid model provided by an embodiment of the present invention, such as Figure 8As shown, in the NR+LTE co-frequency scenario, the initial grid model can be trained according to 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 according to 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 according to 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.

[0096] The following will take the NR+LTE co-frequency scenario as an example to explain how to train the grid model.

[0097] Exemplarily, after constructing the initial grid model, the first performance information corresponding to each grid in the initial grid model in the RE level rate matching mode and the second performance information corresponding to the symbol level rate matching mode can be determined. The following will describe in detail how to determine the first performance information corresponding to the grid.

[0098] 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 the performance information of the user terminal under the 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 the performance information of the user terminal under the 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.

[0099] 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.

[0100] Exemplarily, the reference signal received power of the serving cell can be expressed as (RSRP0, PCI0). The at least one set of parameter signal received power of the neighboring cell can be expressed as {(RSRP1, PCI1), (RSRP2, PCI2), ..., (RSRP m ,PCI m)}. 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.

[0101] In some embodiments, the initial grid model is trained according to 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 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.

[0102] See also Fig. 9 , Fig. 9 It is a schematic flowchart of sub-steps of determining the grid to which the sample signal parameter belongs provided by an embodiment of the present invention, which may include the following steps S301 to S305.

[0103] Step S301: sequentially determine each sample signal parameter as a current sample signal parameter.

[0104] Exemplarily, each sample signal parameter in the first sample signal data may be determined as the current sample signal parameter.

[0105] 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.

[0106] Exemplarily, for the current sample signal parameter, the first dimension interval of the current sample signal parameter in the signal strength dimension can be determined according to the reference signal received power of the serving cell in the current sample signal parameter. For example, the first dimension interval can be determined according to the power interval to which the reference signal received power belongs.

[0107] Step S303: Perform signal-to-interference ratio mapping on at least one group of parameter signal reception power in the current sample signal parameters to obtain a target signal-to-interference ratio.

[0108] It should be noted that the signal-to-interference ratio is referred to as SIR (Signal-to-Interference Ratio), which is defined as the ratio of the interference signal strength to the target echo signal strength. Signal-to-interference ratio mapping refers to converting the parameter signal receiving power into the signal-to-interference ratio. In an embodiment of the present invention, by performing signal-to-interference ratio mapping on the parameter signal receiving power, the interference strength can be integrated 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.

[0109] The following will describe in detail how to perform signal-to-interference ratio mapping.

[0110] In some embodiments, performing signal-to-interference ratio mapping on at least one group of parameter signal receiving powers in the current sample signal parameters to obtain a target signal-to-interference ratio may include: classifying the interference neighboring cells of at least one group 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 service 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.

[0111] In the embodiment of the present invention, the interfering neighbor cells may be classified into the following categories according to the neighbor cell ID modulo 3:

[0112] Category 0 interference neighbor cell index set:

[0113] index0={i|PCI i mod3=0}

[0114] Type 1 interference neighbor cell index set:

[0115] index1={i|PCI i mod3=1}

[0116] Type 2 interference neighbor cell index set:

[0117] index2={i|PCI i mod3=2}

[0118] Where i represents the neighboring cell. After classifying the interfering neighboring cells, confirm the PCI mod 3 of the serving cell where the user terminal is located. Without loss of generality, assume that PCImod3 = 0 and only consider type 1 interference and type 2 interference. Calculate according to the parameter signal receiving power set corresponding to each type of interfering neighboring cell and the reference signal receiving power of the serving cell to obtain the signal-to-interference ratio corresponding to each type of interfering neighboring cell, as shown below:

[0119]

[0120] Where L(·) represents the linear transformation. It represents the parameter signal receiving power set corresponding to the first type of interference neighboring cell, represents the parameter signal receiving power set corresponding to the second type of interference neighboring cell, k represents the parameter signal receiving power of the kth neighboring cell. L(RSRP0) represents the reference signal receiving power of the serving cell. SIR1 represents the signal-to-interference ratio corresponding to the first type of interference neighboring cell, and SIR2 represents the signal-to-interference ratio corresponding to the second type of interference neighboring cell.

[0121] The above formula can be simplified to obtain the following formula:

[0122]

[0123] In the formula, Indicates the cell with the largest RSRP among the first type interference neighboring cells. Indicates the cell with the largest RSRP among the second type interference neighboring cells.

[0124] Exemplarily, the target signal-to-interference ratio may be determined according to the signal-to-interference ratio corresponding to each type of interfering neighboring cell. In the embodiment of the present invention, the minimum signal-to-interference ratio corresponding to all types of interfering neighboring cells may be determined as the target signal-to-interference ratio. The target signal-to-interference ratio may be expressed as SIR=min(SIR1, SIR2).

[0125] In the above-mentioned embodiment, the signal-to-interference ratio corresponding to each type of interfering neighboring cell is obtained by calculating according to the parameter signal receiving power set corresponding to each type of interfering neighboring cell and the reference signal receiving power of the service cell, and the target signal-to-interference ratio is determined according to the signal-to-interference ratio corresponding to each type of interfering neighboring cell. This can realize the conversion of the parameter signal receiving power of the neighboring cell into the signal-to-interference ratio, and can integrate the interference intensity when determining the rate matching method, thereby realizing more refined control of the rate matching method and improving the anti-interference effect of rate matching.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] Exemplarily, 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.

[0130] 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, can achieve 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.

[0131] Exemplarily, after determining the grid to which each sample signal parameter belongs, the first performance information of each corresponding grid may be determined according to the performance information of the user terminal under all sample signal parameters in each grid.

[0132] The first performance information may include a first performance value, such as a PRB throughput or a flow 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.

[0133] Step S203: 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 second performance information corresponding to each grid in the initial grid model.

[0134] In the embodiment of the present invention, Figure 8 As shown, after 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 the first performance information corresponding to each grid in the initial grid model, the initial grid model can also be trained according to 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 according to the second sample signal data is the same as the process of training the initial grid model according to the first sample signal data in the above embodiment, and will not be repeated here.

[0135] 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.

[0136] Exemplarily, the first performance information includes a first performance value, and the second performance information includes a second performance value. When the initial grid model is rate matched according to 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.

[0137] When the first performance value is equal to the second performance value, the RE-level rate matching method or the symbol-level rate matching method may be determined as the grid-associated rate matching method.

[0138] 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, it is possible to use a rate matching method with a higher performance value as a target rate matching method corresponding to the grid.

[0139] 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 the traditional static rate matching and dynamic rate matching schemes, and is more beneficial to the interference countermeasure of NR+LTE co-frequency scenario, and can effectively improve the use effect in the interference scenario.

[0140] See also Fig.10 , Fig.10 is a schematic diagram of another training grid model provided by an embodiment of the present invention, such as Fig.10 As shown, in the DSS scenario, the initial grid model can be trained 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. 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 the second performance information corresponding to each grid in the initial grid model. Then, 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.

[0141] The following will take the DSS scenario as an example to explain how to train the grid model.

[0142] In some embodiments, the initial grid model is trained according to 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 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.

[0143] See also Fig.11 , Fig.11 It 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 invention, which may include the following steps S401 to S407.

[0144] Step S401: sequentially determine each sample signal parameter as a current sample signal parameter.

[0145] 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.

[0146] Step S403: Perform signal-to-interference ratio mapping on at least one group of parameter signal reception power in the current sample signal parameters to obtain a target signal-to-interference ratio.

[0147] 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.

[0148] It can be understood that steps S401 to S404 are the same as the above-mentioned steps S301 to S304, and are not described in detail here.

[0149] 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.

[0150] Exemplarily, the 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 the field of wireless network planning and optimization.

[0151] 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 a physical resource block utilization rate and a starting position of a physical resource block of the target neighboring cell.

[0152] It should be noted that the target neighboring area refers to the interfering neighboring area that participates in the load calculation. In the embodiment of the present invention, since not all interfering neighboring areas can generate significant interference, the interference generated by some interfering neighboring areas can be regarded as noise and ignored, it is necessary to first determine whether the interfering neighboring area participates in the load calculation. The following will describe in detail how to determine whether the interfering neighboring area participates in the load calculation.

[0153] Exemplarily, according to the above-mentioned multiple types of interference neighbor cell index sets, the PRB utilization of the corresponding neighbor cell can be retrieved from the neighbor cell load information in the DSS scenario. If the PRB utilization is not retrieved, the PRB utilization of the corresponding neighbor cell is set to zero. It should be noted that in the embodiment of the present invention, the neighbor cell is the interference cell.

[0154] Then, the load corresponding to each type of interfering neighboring cell is calculated as follows:

[0155]

[0156]

[0157]

[0158] In formula (1), represents finding the cell with the maximum RSRP among the interference neighbor cells of the 0th class, and i_max0 represents the cell with the maximum RSRP among the interference neighbor cells of the 0th class. PRB i_max0 represents the PRB utilization rate of the cell with the maximum RSRP among the interference neighbor cells of the 0th class, and Lod0 represents the load of the interference cell of the 0th class. In formula (2), represents finding the cell with the maximum RSRP among the interference neighbor cells of the 1st class, and i_max1 represents the cell with the maximum RSRP among the interference neighbor cells of the 1st class. PRB i_max1 represents the PRB utilization rate of the cell with the maximum RSRP among the interference neighbor cells of the 1st class, and Lod1 represents the load of the interference cell of the 1st class. In formula (3), represents finding the cell with the maximum RSRP among the interference neighbor cells of the 2nd class, and i_max2 represents the cell with the maximum RSRP among the interference neighbor cells of the 2nd class. PRB i_max2 represents the PRB utilization rate of the cell with the maximum RSRP among the interference neighbor cells of the 2nd class, and Lod2 represents the load of the interference cell of the 2nd class.

[0159] After determining the load corresponding to each class of interference neighbor cells, 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 invention, the target neighbor cells participating in the load calculation can be determined according to the formula RSRP0 - RSRP i_maxk <SIR + Th

[0160] In the formula, RSRP i_maxk represents the cell with the maximum RSRP among the interference cells of the kth class; SIR represents the target signal-to-interference ratio; Th is the offset value, which is default to 3 dB, and of course can also be other values.

[0161] 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 class is included in the load calculation; since RSRP0 - RSRP i_max1 = 5 < 3 + 3, the load of the interference neighbor cells of the 1st class is included in the load calculation; since RSRP0 - RSRP i_max2=20>3+3, the load of the second type of interference neighboring cells is not included in the load calculation. That is, the cells in the 0th type of interference neighboring cells and the cells in the 1st type of interference neighboring cells can be used as target neighboring cells.

[0162] For example, if RSRP0=-80, RSRP i_max0 =-105,RSRP i_max1 =-110,RSRP i_max2 =-107, SIR = 25dB, then due to RSRP0-RSRP i_max0 =25<28, the load of the neighboring cell of type 0 interference is included in the load calculation; due to RSRP0-RSRP i_max1 =30>25+3, the load of the first type of interference neighboring cell is not included in the load calculation; due to RSRP0-RSRP i_max2 =27<25+3, the load of the second type of interference neighboring cells is included in the load calculation. That is, the target neighboring cells are the cells in the 0th type of interference neighboring cells and the cells in the 2nd type of interference neighboring cells as the target neighboring cells.

[0163] 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 calculations of the target load, thereby improving accuracy.

[0164] Exemplarily, 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 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.

[0165] 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%, 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], the interval occupied by the physical resource blocks of the type 1 interference neighboring cell is [1 / 3,1] and [0,1 / 30], the union interval is [0,0.2], [1 / 3,1], and the target load is 13 / 15.

[0166] The target load may 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.

[0167] Step S406: Determine the third dimension interval of the current sample signal parameter on the neighboring cell load dimension according to the target load.

[0168] Exemplarily, after performing load calculation on at least one set of neighboring cell load information in the current sample signal parameter to obtain the target load, the third dimension interval of the current sample signal parameter on the neighboring cell load dimension can be determined according to the target load. For example, the third dimension interval of the previous sample signal parameter on the neighboring cell load dimension can be determined according to the load interval to which the target load belongs.

[0169] Step S407: perform 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.

[0170] Exemplarily, 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.

[0171] Exemplarily, after determining the grid to which each sample signal parameter belongs, the first performance information of each corresponding grid may be determined according to the performance information of the user terminal under all sample signal parameters in each grid.

[0172] In an embodiment of the present application, in a DSS scenario, after 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 the first performance information corresponding to each grid in the initial grid model, the initial grid model can also be trained according to 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 according to the second sample signal data is the same as the process of training the initial grid model according to the first sample signal data in the above embodiment, and will not be repeated here.

[0173] The above embodiment, by performing grid positioning according to the first dimensional interval, the second dimensional interval and the third dimensional interval, obtains the grid to which the current sample signal parameter belongs, so that signal parameters such as signal strength and interference intensity can be integrated 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 rate matching.

[0174] Exemplarily, after obtaining the first performance information and the second performance information corresponding to each grid in the initial grid model, the initial grid model can be rate matched according to the first performance information and the 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.

[0175] 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, it is possible to use a rate matching method with a higher performance value as a target rate matching method corresponding to the grid.

[0176] The above-mentioned embodiment, by performing grid model training and rate matching based on historical network data, is more suitable for the current actual wireless environment than the traditional static rate matching and dynamic rate matching schemes, is more beneficial to the interference countermeasure of the DSS scenario, and can effectively improve the use effect in the interference scenario.

[0177] See also Fig.12 , Fig.12 It is a schematic flowchart of sub-steps of determining a target grid provided by an embodiment of the present invention, and step S102 may include the following steps S501 to S503.

[0178] Step S501: Determine a first dimension interval corresponding to a target grid according to a power interval to which a first reference signal received power belongs.

[0179] For example, Figure 5 As shown, 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].

[0180] 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.

[0181] like Figure 5 As shown, in the NR+LTE co-frequency scenario, the second dimension interval corresponding to the target grid can be determined according to the power interval to which the second reference signal received power belongs. Exemplarily, 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 is determined according to 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].

[0182] Step S503: perform grid positioning in the grid model according to the first dimension interval and the second dimension interval to obtain a target grid.

[0183] Exemplarily, after determining the first dimension interval and the second dimension interval corresponding to the target grid, the grid positioning can be performed in the grid model according to 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], the grid corresponding to RSRP(-110,-90] and sir(3,10] in the grid model can be determined as the target grid.

[0184] 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 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.

[0185] See also Fig.13 , Fig.13 It is a schematic flowchart of another sub-step of determining the target grid provided by an embodiment of the present invention. Step S102 may also include the following steps S601 to S604.

[0186] Step S601: Determine a first dimension interval corresponding to a target grid according to a power interval to which a first reference signal received power belongs.

[0187] For example, Figure 6 As shown, in the DSS 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(-inf,-110].

[0188] 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.

[0189] like Figure 6 As shown, in the DSS scenario, the second dimension interval corresponding to the target grid can be determined according to the power interval to which the second reference signal received power belongs. Exemplarily, 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 according to 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].

[0190] 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.

[0191] like Figure 6 As shown, in the DSS scenario, the third dimension interval corresponding to the target grid can be determined according to the load interval to which the neighboring cell load information belongs. Exemplarily, the load calculation can be performed on the second reference signal receiving power to obtain the target load, and then the third dimension interval can be determined according to 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].

[0192] Step S604: perform grid positioning 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.

[0193] Exemplarily, after determining the first dimension interval, the second dimension interval, and the third dimension interval corresponding to the target grid, the 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.

[0194] 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.

[0195] See also Fig.14 , Fig.14 The embodiment of the present invention further provides a schematic block diagram of a communication control device 700, and the communication control device 700 is used to execute the above communication control method. The communication control device 700 is a base station of the embodiment of the present invention.

[0196] like Fig.14 As shown, the communication control device 700 includes: a signal parameter acquisition module 701, a grid determination module 702 and a scheduling module 703.

[0197] The signal parameter acquisition module 701 is used 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.

[0198] A grid determination module 702 is used to determine a target grid that the user terminal matches 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;

[0199] The scheduling module 703 is used to schedule the user terminal according to the rate matching mode corresponding to the target grid.

[0200] In some embodiments, the grid determination module 702 is also used to determine the first dimensional interval corresponding to the target grid according to the power interval to which the first reference signal received power belongs; determine the second dimensional interval corresponding to the target grid according to the power interval to which the second reference signal received power belongs; and perform grid positioning in the grid model according to the first dimensional interval and the second dimensional interval to obtain the target grid.

[0201] In some embodiments, the grid determination module 702 is further used to determine the third dimension interval corresponding to the target grid according to the load interval to which the neighboring cell load information belongs.

[0202] In some embodiments, the grid determination module 702 is further used 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.

[0203] 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 method, 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 method, 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, and a preset grid model is obtained.

[0204] 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.

[0205] 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.

[0206] 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 according to the parameter signal receiving power set corresponding to each type of interference neighboring cell and the reference signal receiving power of the service cell to obtain the signal-to-interference ratio corresponding to each type of interference neighboring cell; determine the target signal-to-interference ratio according to the signal-to-interference ratio corresponding to each type of interference neighboring cell.

[0207] 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 parameters to obtain a target load; determine the third dimensional interval of the current sample signal parameters 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 parameters belong.

[0208] In some embodiments, the grid determination module 702 is further used to determine a target neighboring cell that participates in the load calculation; and to determine the target load according to the physical resource block utilization rate and the starting position of the physical resource block of the target neighboring cell.

[0209] In some embodiments, the grid determination module 702 is also used to determine that the rate matching method associated with the corresponding grid is an 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 a symbol-level rate matching method.

[0210] An embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program. The computer program includes program instructions. The processor executes the above program instructions to implement any communication control method provided in the embodiment of the present invention.

[0211] For example, the program is loaded by the processor and may execute the following steps:

[0212] Obtain a first signal parameter of a service cell where the user terminal is located and a second signal parameter of a neighboring cell of the service cell; determine a target grid that matches the user terminal from a preset grid model based on the first signal parameter and the second signal parameter, where the grid model includes multiple grids; schedule the user terminal based on a rate matching method corresponding to the target grid.

[0213] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0214] In 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 physical components 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, and the storage medium may include a computer storage medium (or a non-temporary medium) and a communication medium (or a 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 disk (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, it is well known to those skilled in the art that 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.

[0215] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the present invention is not limited thereby. Any modification, equivalent substitution and improvement made by those skilled in the art without departing from the scope and essence of the present invention shall be within the scope of the present invention.

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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: 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, characterized in that: The base station includes 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, characterized in that: 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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