WO2017148246A1

WO2017148246A1 - Data configuration method and device

Info

Publication number: WO2017148246A1
Application number: PCT/CN2017/073056
Authority: WO
Inventors: 周华; 韩玮; 刘壮
Original assignee: 中兴通讯股份有限公司
Priority date: 2016-03-01
Filing date: 2017-02-07
Publication date: 2017-09-08
Also published as: CN107148053B; CN107148053A

Abstract

A data configuration method and device. The data configuration method comprises: allocating a corresponding number of central processing units (CPUs) to cells of each communication standard in a distributed parallel system; allocating a corresponding number of CPUs to cells of each frequency point in each communication standard according to the allocated CPUs of the cells of each communication standard; and separately dividing each group of cells of the same frequency point in the same communication standard into the allocated CPUs according to the allocated CPUs of the cells of each frequency point in each communication standard, wherein interference in a set of cells divided into the same CPU is greater than that between sets of cells divided into different CPUs.

Description

Data configuration method and device

Technical field

This application relates to, but is not limited to, the field of wireless communications and computer technology.

Background technique

With the development of wireless communication technology and the increasing demand for communication by users, the 5th Generation Mobile Communication (5G) technology has become the trend of future network development. Important features of the 5G technology application scenario are ultra-dense and large-scale, such as shopping centers, dense urban information communities, open-air concerts and stadiums, and the deployment of large-scale sensors and actuators.

5G technology can adopt different communication systems for different application scenarios, that is, the 5G system has the characteristics of coexistence in multiple communication systems. In order to solve the problem that the computing device lacks memory and the computing efficiency is not supported in the related art, the distributed parallel system is generally used for data calculation in the related art, and the implementation manner may be: dividing the large-scale network into multiple sub-networks, that is, complicated The calculation is performed and the data processing in the plurality of sub-networks is processed in parallel by a plurality of central processing units (CPUs), so that the effect of reducing the memory load and the calculation load of the single CPU can be achieved. However, the communication delay between parallel CPUs in the above distributed parallel system has a certain influence on the operation efficiency, especially in the wireless communication simulation system, because there are interference, interaction and cooperation between the cells in the parallel CPU. There is a large amount of data interaction between parallel CPUs, and the data interaction delay between parallel CPUs seriously affects the computational efficiency of distributed parallel systems. Therefore, how to improve the computational efficiency of distributed parallel systems becomes a necessity in related technologies. solved problem.

Summary of invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

This document provides a data configuration method and apparatus to achieve a distributed parallel system through reasonable configuration. The data processing relationship between CPUs in the system reduces the amount of data interaction between parallel CPUs and improves the computational efficiency of distributed parallel systems.

A data configuration method, including:

Allocating a corresponding number of processor CPUs for cells of each communication system in the distributed parallel system;

Assigning a corresponding number of CPUs to cells of each frequency point in each of the communication systems according to a CPU that has been allocated by a cell of each of the communication systems;

According to the allocated CPU of each frequency point in each of the communication systems, each group of cells of the same frequency in the same communication system is divided into allocated CPUs, wherein the cells are allocated to the same CPU. The interference is greater than the interference between the sets of cells divided into different CPUs.

Optionally, the cells in the same communication system with the same frequency point are the first packet cell unit; and the CPUs allocated according to the cells of each frequency point in each of the communication systems respectively use the same communication standard for each group. The cells in the same frequency point are divided into the allocated CPUs, including:

Establishing, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to represent each of the first packet cell units Interference relationship between the cells;

And dividing, according to the established interference weight matrix of each of the first packet cell units and the allocated CPU, a cell in each of the first packet cell units into the allocated CPU.

Optionally, the cell of the same frequency point in the same communication system to which multiple CPUs are allocated is the first packet cell unit, and the cell of the same frequency point in the same communication system to which one CPU is allocated is the second packet cell unit; The CPUs of the cells of each frequency point in each of the communication systems respectively divide the cells of the same frequency point in the same communication system into the allocated CPUs, including:

Dividing cells in each of the first packet cell units into the allocated ones according to the established interference weight matrix of each of the first packet cell units and the allocated CPU In the CPU;

The cells in each of the second packet cell units are respectively allocated to one of the allocated CPUs.

Optionally, the interference weight matrix of each of the first packet cell units is separately established according to interference between cells in each of the first packet cell units, including:

Calculating, according to channel parameters and cell locations configured in the distributed parallel system, large-scale fading values of each of the cells in each of the first packet cell units to each grid point in the simulation region;

Calculating reference signal reception for each of the cells in each of the first packet cell units to each of the grid points according to a configured power of each cell and a calculated large-scale fading value in the distributed parallel system Power RSRP;

Determining, according to the calculated RSRP, a coverage area of each of the first packet cell units, where the coverage of each of the cells is a set of multiple grid points, where the coverage of the cell A is The feature of the grid point is: the maximum RSRP of the cell A to the grid point in the first packet cell unit to which the cell A belongs;

Establishing, according to the calculated RSRP and the coverage of each of the cells in each of the first packet cell units, an interference matrix of each of the first packet cell units;

Obtaining an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units.

Optionally, the acquiring an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units, including:

Calculating, according to the interference threshold and the interference matrix of each of the first packet cell units, an interference identification matrix and an average number of interference cells of each of the first packet cell units;

Comparing the average number of interfering cells of each of the first packet cell units with the configured first cell threshold;

When the comparison result is different, the interference threshold is reconfigured, and an interference weight matrix of each of the first packet cell units is calculated according to the reconfigured interference threshold;

Acquiring initial interference right of each of the first packet cell units when the comparison result is the same a matrix of values, and correcting the initial interference weight matrix according to an interference relationship between cells in each of the first packet cell units to obtain an interference weight matrix of each of the first packet cell units, the initial interference right The value matrix is an interference identification matrix calculated by the same interference threshold and interference matrix as the comparison result.

Optionally, when the comparison result is different, the interference threshold is reconfigured, including:

When the first cell threshold is greater than the average number of interfering cells, configuring the interference threshold to decrease a first convergence threshold;

When the first cell threshold is smaller than the average number of interfering cells, configuring the interference threshold to increase a second convergence threshold.

Optionally, the establishing, according to the calculated RSRP and the coverage of each of the cells, an interference matrix of each of the first packet cell units, including:

Interfering with interference of each cell with other cells in each of the first packet cell units to obtain an interference matrix of each of the first packet cell units;

The interference of each cell with other cells is the maximum value of the RSRP of the other cell in the coverage of the cell; or the interference of each cell with other cells is that the other cell is in the cell. The average of the RSRPs in the coverage; or the interference of each cell with other cells is the number of the RSRP of the other cells in the coverage of the cell is greater than the RSPR threshold.

Optionally, the cell in each of the first packet cell units is respectively divided into the foregoing according to the established interference weight matrix of each of the first packet cell units and the allocated CPU. Among the allocated CPUs, including:

Performing, according to an interference weight matrix of each of the first packet cell units and the allocated CPU, a preliminary division of each of the cells in the first packet cell unit;

Adjusting, in each of the first packet cell units, a CPU in an isolated CPU, a number of cells greater than a second cell threshold, and a cell in a CPU having a cell number smaller than a threshold of the second cell, where the The number of cells in the isolated CPU is smaller than the threshold of the second cell, and the cell in the isolated CPU has no interference relationship with the undivided cell;

Within each of the first packet cell units, respectively, according to each of the CPUs after adjustment a cell, which divides an unallocated cell in the current first packet cell unit into a corresponding CPU;

In each of the first packet cell units, the legacy cell and the isolated cell are respectively divided into corresponding CPUs.

Optionally, the initially dividing, according to the interference weight matrix of each of the first packet cell units and the allocated CPU, a cell in each of the first packet cell units, including:

Obtaining, in each of the first packet cell units, a first interference weight of each unallocated cell and a current cell set in the first first cell unit, and acquiring an interference cell set by using a maximum first interference weight, The interference cell set is a cell corresponding to the maximum first interference weight and a cell having an interference relationship with the cell;

Calculating a second interference weight and a number of public cells of the set of the interfering cell and the divided cell set in each CPU of the current first packet cell unit;

And dividing the interference cell set into a corresponding CPU according to the number of the public cell, or the number of the public cell, and the second interference weight.

Optionally, the dividing the set of the interfering cells into the corresponding CPU according to the number of the public cells, or the number of the public cells, and the second interference weight, including:

When the number of the public cells has a non-zero value, the cells in the interference cell set are divided into CPUs having the largest number of common cells, and the interference cell set and the public cell of the CPU are combined;

When the number of the public cells is all 0, and the second interference weight is all 0, the cells in the interference cell set are divided into a CPU with a number of cells 0;

When the number of the public cells is all 0, and the second interference weight has a non-zero value, the cells in the interference cell set are divided into CPUs corresponding to the maximum second interference weight.

Optionally, in each of the first packet cell units, the CPU in the isolated CPU, the number of cells greater than the second cell threshold, and the cell in the CPU whose cell number is smaller than the second cell threshold are respectively adjusted. ,include:

Obtaining, in each of the first packet cell units, a first CPU set whose number of cells in the CPU is smaller than the second cell threshold, where the second cell threshold is a flat number of cells in all current CPUs. Mean

Adjusting, respectively, cells in each isolated CPU of the first CPU set;

After the first CPU set processing is completed, acquiring a second CPU set whose cell number is greater than the second cell threshold;

Adjusting, respectively, cells in each CPU of the second CPU set;

After the second CPU set processing is completed, acquiring a third CPU set whose cell number is smaller than the second cell threshold;

The cells in each CPU of the third CPU set are respectively adjusted.

Optionally, the adjusting, for each cell in the isolated CPU of the first CPU set, includes:

Determining an isolated CPU in the first CPU set according to a third interference weight value of a set of cells in each CPU of the first CPU set and an unallocated cell set in a current first packet cell unit, where The CPU having the third interference weight value of 0 is the isolated CPU;

Calculating a fourth interference weight of each of the isolated CPUs and a set of cells in other CPUs of the current first packet cell unit;

And acquiring, when the maximum fourth interference weight is not 0, the cell and the CPU cell set corresponding to the maximum fourth interference weight, and deleting the cell from the isolated CPU, and dividing the maximum fourth interference right The value corresponds to the CPU cell set;

When the maximum fourth interference weight is 0, calculating a fifth interference weight of each cell in the unallocated cell set in the current first packet cell unit, and the cell corresponding to the maximum fifth interference weight and the A cell having an interference relationship with a cell corresponding to the maximum fifth interference weight in the unassigned cell set is allocated to the isolated CPU corresponding to the maximum fourth interference weight.

Optionally, the adjusting, for each cell in each CPU of the second CPU set, includes:

Calculating a sixth interference weight value of each cell in each CPU of the second CPU set;

The cell corresponding to the minimum sixth interference weight is deleted from the current CPU and divided into the unallocated cell set of the current first packet cell unit.

Optionally, the adjusting, for each cell in each CPU of the third CPU set, includes:

Calculating a seventh interference weight of each of the cells in the unallocated cell set in the first packet cell unit and the CPU set in each CPU of the third CPU set;

When the maximum seventh interference weight is not 0, the unallocated cell corresponding to the maximum seventh interference weight is divided into corresponding CPUs of the third CPU set.

Optionally, in each of the first packet cell units, the unallocated cells in the current first packet cell unit are divided into corresponding CPUs according to the cells existing in each of the adjusted CPUs. Including:

Obtaining, in each of the first packet cell units, a fourth CPU set that is smaller than a third cell threshold in the CPU, where the third cell threshold is a total number of cells in the current first packet cell unit divided by a number of CPUs. Rounding up the value;

Calculating an eighth interference weight value of a cell set in each CPU of each of the unallocated cell sets and the fourth CPU set in the current first packet cell unit;

When the maximum eighth interference weight is not 0, the unallocated cell corresponding to the maximum eighth interference weight is divided into corresponding CPUs of the fourth CPU set.

Optionally, the dividing the legacy cell and the isolated cell into the corresponding CPU in each of the first packet cell units, including:

Calculating, in each of the first packet cell units, a ninth interference weight of each cell in the unallocated cell set of the current first packet cell unit and a cell set in each CPU;

When the maximum ninth interference weight is not 0, the legacy cell corresponding to the maximum ninth interference weight is allocated to the corresponding CPU;

When the maximum ninth interference weight is 0, the isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells.

Optionally, the allocating a corresponding number of processor CPUs to the cells of each communication system in the distributed parallel system includes:

Measuring, respectively, the operation time consumed by the same number of cells and the user equipment UE size simulation preset time of each of the communication systems;

A corresponding number of CPUs are allocated to each of the cells of the communication system based on the measured computation time and the number of cells in each of the communication systems.

Optionally, the CPU that is allocated according to the cell of each of the communication systems allocates a corresponding number of CPUs to the cells of each frequency point in each of the communication systems, including:

A cell of each frequency point in each of the communication systems is allocated a corresponding number of CPUs according to the allocated CPU of each of the communication systems and the number of cells of each frequency point in each of the communication systems.

A data configuration device comprising:

a quantity allocation module, configured to: allocate a corresponding number of processor CPUs for each communication system cell in the distributed parallel system;

The quantity allocation module is further configured to: allocate a corresponding number of CPUs for each frequency point in each of the communication systems according to the allocated CPU of each of the communication systems;

The cell division module is configured to allocate, according to the quantity allocation module, a CPU allocated to a cell of each frequency point in each of the communication systems, and respectively divide the cells of the same frequency point in each group of the same communication system into the allocated cells. In the CPU, the interference in the cell set divided into the same CPU is greater than the interference between the cell sets divided into different CPUs.

Optionally, the cell of the same frequency point in the same communication system is a first packet cell unit; the cell dividing module includes:

An interference relationship establishing unit is configured to: respectively establish, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to indicate each Interference between cells in the first packet cell unit;

a cell allocation unit, configured to: according to the interference weight matrix of each of the first packet cell units established by the interference relationship establishing unit and the CPU allocated by the quantity allocation module, each of the first packets respectively The cells in the cell unit are divided into the allocated CPUs.

Optionally, the cell of the same frequency point in the same communication system to which multiple CPUs are allocated is the first packet cell unit, and the cell of the same frequency point in the same communication system to which one CPU is allocated is the second packet cell unit; the cell The partitioning module includes:

An interference relationship establishing unit, configured to: according to each of the first packet cell units And an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to indicate an interference relationship between cells in each of the first packet cell units;

a cell allocation unit, configured to: according to the interference weight matrix of each of the first packet cell units established by the interference relationship establishing unit and the CPU allocated by the quantity allocation module, each of the first packets respectively a cell in the cell unit is allocated to the allocated CPU;

The cell allocation unit is further configured to respectively divide the cells in each of the second packet cell units into one allocated CPU.

Optionally, the interference relationship establishing unit includes:

a calculating subunit, configured to: calculate, according to channel parameters and cell locations configured in the distributed parallel system, large scales of each grid point in each of the first packet cell units to a simulation area Fading value

The calculating subunit is further configured to: calculate each cell in each of the first packet cell units to each according to a configured power of each cell in the distributed parallel system and the calculated large-scale fading value Reference signal receiving power RSRP of the grid point;

a coverage determining subunit, configured to: determine, according to the RSRP calculated by the calculating subunit, a coverage range of each cell in each of the first packet cell units, where each of the cells has multiple coverage areas a set of grid points, wherein the grid point in the coverage of the cell A is characterized by: a maximum RSRP of the cell A to the grid point in the first packet cell unit to which the cell A belongs;

a relationship establishing subunit, configured to: respectively establish, according to the RSRP calculated by the calculating subunit and the coverage of each of the cells in each of the first packet cell units determined by the coverage determining subunit An interference matrix of the first packet cell unit;

The relationship establishing subunit is further configured to: obtain an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units.

Optionally, the relationship establishing sub-unit obtains an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units, including:

Acquiring an initial interference weight matrix of each of the first packet cell units when the comparison result is the same, and performing the initial interference weight matrix according to an interference relationship between cells in each of the first packet cell units. The interference weight matrix of each of the first packet cell units is obtained, and the initial interference weight matrix is an interference identifier matrix calculated by using the same interference threshold and the interference matrix.

Optionally, the relationship establishing sub-unit is separately established according to the RSRP calculated by the calculating sub-unit and the coverage of each of the first group of cell units determined by the coverage determining sub-unit. The interference matrix of each of the first packet cell units includes:

Optionally, the cell allocation unit includes:

Initially dividing the subunits, configured to: each said to be established according to the interference relationship establishing unit The interference weight matrix of the first packet cell unit and the CPU allocated by the quantity allocation module respectively perform preliminary division on the cells in each of the first packet cell units;

a cell adjustment subunit, configured to: in each of the first packet cell units, a CPU in the isolated CPU, a CPU having a cell number greater than a second cell threshold, and a cell in a CPU having a cell number smaller than the second cell threshold Adjusting, wherein the number of cells in the isolated CPU is smaller than the threshold of the second cell, and the cell in the isolated CPU has no interference relationship with the undivided cell;

a supplementary processing subunit, configured to: in each of the first packet cell units, divide the unallocated cells in the current first packet cell unit into corresponding ones according to the existing cells in each of the adjusted CPUs In the CPU;

The supplementary processing sub-unit is further configured to: in each of the first packet cell units, divide the legacy cell and the isolated cell into corresponding CPUs.

Optionally, the preliminary dividing subunit is configured according to the interference weight matrix of each of the first packet cell units established by the interference relationship establishing unit and the CPU allocated by the quantity allocation module, respectively, for each of the The cells in the first packet cell unit are initially divided, including:

When the number of the public cells is all 0, and the second interference weight is all 0, the interference is The cells in the cell set are divided into a CPU with a number of cells of 0;

Optionally, the cell adjustment subunit is in each of the first packet cell units, respectively, to the CPU that is isolated, the number of cells is greater than the threshold of the second cell, and the number of cells is smaller than the threshold of the second cell. The adjustment of the community includes:

Obtaining, in each of the first packet cell units, a first CPU set whose number of cells in the CPU is smaller than the second cell threshold, where the second cell threshold is an average value of the number of cells in all current CPUs;

Adjusting, respectively, cells in each isolated CPU of the first CPU set;

Adjusting, respectively, cells in each CPU of the second CPU set;

The cells in each CPU of the third CPU set are respectively adjusted.

When the maximum fourth interference weight is 0, calculating that the current first packet cell unit is not allocated a fifth interference weight value of each cell in the cell set, and a cell corresponding to the maximum fifth interference weight value and a cell having an interference relationship with the cell corresponding to the maximum fifth interference weight value in the unallocated cell set, Divided into the isolated CPU corresponding to the maximum fourth interference weight.

Optionally, the supplementary processing sub-unit divides the unallocated cells in the current first packet cell unit according to the existing cells in each of the CPUs in each of the first packet cell units. To the corresponding CPU, including:

Optionally, the supplementary processing sub-unit divides the legacy cell and the isolated cell into the corresponding CPUs in each of the first packet cell units, including:

Optionally, the quantity allocation module includes:

a measuring unit, configured to: separately measure an operation time consumed by the same number of cells and user equipment UE size simulation preset time of each of the communication systems;

The quantity allocation unit is configured to allocate a corresponding number of CPUs to each of the communication system cells according to the operation time measured by the measurement unit and the number of cells in each of the communication systems.

Optionally, the quantity allocation module allocates a corresponding number of CPUs to the cells of each frequency point in each of the communication systems according to the allocated CPU of each of the communication systems, including:

A data configuration method and apparatus provided by an embodiment of the present invention, by allocating a corresponding number of CPUs for a cell of each communication system in a distributed parallel system, based on a CPU allocated by a cell of each communication system, for each communication system The cells of each frequency point are allocated a corresponding number of CPUs, so that the cells of the same frequency point in each group of the same communication system are respectively allocated to the allocated CPUs on the basis of the CPU allocated by the cells of each frequency point in each communication system. In the CPU, and the interference in the cell set divided into the same CPU is greater than the interference between the cell sets in the different CPUs; in the technical solution provided by the embodiment of the present invention, the communication system and the different frequency points in each communication system For the principle, the cell is divided, and the cell with more interference relationship and the cell with interference relationship with the cell are divided into the same CPU, thereby realizing the effect of reducing the amount of data interaction between the parallel CPUs, that is, through reasonable distribution. Data processing relationship between CPUs in a parallel system to reduce the amount of data interaction between parallel CPUs, thereby improving the distributed parallel system Computational efficiency.

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

BRIEF abstract

FIG. 1 is a flowchart of a data configuration method according to an embodiment of the present invention;

2 is a flowchart of another data configuration method according to an embodiment of the present invention;

FIG. 3 is a flowchart of still another data configuration method according to an embodiment of the present invention;

4 is a flowchart of establishing an interference weight matrix in the data configuration method provided by the embodiment shown in FIG. 3;

FIG. 5 is a schematic diagram of a cell distribution in a data configuration method provided by the embodiment shown in FIG. 4; FIG.

6 is a schematic diagram of a cell coverage in a data configuration method provided by the embodiment shown in FIG. 4;

7 is a schematic diagram of a cell interference relationship in a data configuration method provided by the embodiment shown in FIG. 4;

8 is a flowchart of a cell dividing method in a data configuration method provided by the embodiment shown in FIG. 3;

FIG. 9 is a flowchart of a method for initially dividing a cell in the data configuration method provided by the embodiment shown in FIG. 3;

10 is a flowchart of a cell adjustment method in a data configuration method provided by the embodiment shown in FIG. 3;

11 is an alternative flowchart of a part of the process in the cell adjustment method provided by the embodiment shown in FIG. 10;

12 is a flowchart of a cell extension method in a data configuration method provided by the embodiment shown in FIG. 3;

FIG. 13 is a flowchart of a cell supplementary processing method in the data configuration method provided by the embodiment shown in FIG. 3;

FIG. 14 is a schematic structural diagram of a data configuration apparatus according to an embodiment of the present disclosure;

FIG. 15 is a schematic structural diagram of another data configuration apparatus according to an embodiment of the present disclosure;

FIG. 16 is a schematic structural diagram of still another data configuration apparatus according to an embodiment of the present disclosure;

17 is a schematic structural diagram of an interference relationship establishing unit in the data configuration apparatus provided in the embodiment shown in FIG. 16;

18 is a diagram of a cell dividing unit in the data configuration apparatus provided in the embodiment shown in FIG. Schematic diagram.

Detailed

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments herein may be arbitrarily combined with each other.

The steps illustrated in the flowchart of the figures may be executed in a computer system in accordance with a set of computer executable instructions. Also, although logical sequences are shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.

The peak and spectral efficiency requirements of 5G systems are several tens or even hundreds of times that of 4G systems. In order to achieve the peak and spectrum efficiency goals in 5G systems, some new communication technologies, such as large-scale antenna arrays, have been proposed. The computing device in the related art is difficult to implement the 5G system application scenario, the application of the new communication technology, and the simulated data operation, mainly as follows: the memory is insufficient to support a large-scale application scenario, and the computational efficiency is insufficient to support the modeling of the large-scale antenna array. And high-frequency wireless channel accurate modeling and simulation, due to the introduction of ultra-large-scale antenna array, can provide dozens of independent spatial data streams, that is, several times to improve the spectral efficiency of multi-user systems, and the propagation conditions on the entire array may change, then It is necessary to perform accurate channel modeling for each antenna; obviously, it is difficult for the arithmetic device in the related art to support the above-described large-scale calculation amount.

The above background art has explained that although the distributed parallel system can solve the problem that the computing device lacks memory and the computing efficiency is not supported in the related art, the computing efficiency of the distributed parallel system still has room for improvement.

The technical solution of the present invention is described in detail below by using some embodiments. The terminal device in the following embodiments of the present invention is a device for configuring a CPU and a cell in a distributed parallel system, for example, a server operated by a designer. The present invention is provided to be able to combine the following embodiments, and the same or similar concepts or processes may not be described in some embodiments.

FIG. 1 is a flowchart of a data configuration method according to an embodiment of the present invention. In the case where the data configuration method provided in this embodiment is applicable to configuring the data relationship of each CPU in the distributed parallel system, the method may be performed by the data configuration device, and the data configuration device is implemented by combining hardware and software. The device can be integrated in the processor of the terminal device for use by the processor. As shown in FIG. 1 , the method provided by the embodiment of the present invention may include the following steps, that is, S110～S130:

S110, allocate a corresponding number of CPUs for cells of each communication system in the distributed parallel system.

The data configuration method provided by the embodiment of the present invention configures the data relationship of each CPU in the distributed parallel system (hereinafter referred to as: parallel system), which can be implemented by allocating a corresponding number of CPUs to different types of cells in the parallel system. The different types of cells may be cells of different communication systems, for example, a cell including a Long Term Evolution (LTE) system, and a Global System for Mobile Communication (GSM) system. The cell and the cell of the Universal Mobile Telecommunications System (UMTS) system, that is, the cell of each communication system use the allocated CPU for data processing.

Embodiments of the present invention consider that the amount of data interaction between cells in different communication modes is small, and usually only signaling interaction exists, and the simulation of codes of different communication systems may lead to complexity of program structure and increase cost of code maintenance and development. It is not conducive to the expansion, so the cells of the different communication systems are respectively divided into different CPUs, that is, the CPUs allocated by the cells of each communication system are different in the embodiment of the present invention, so as to be adapted to be allocated between CPUs of different communication systems. Less data interaction.

S120. According to the CPU allocated by the cell of each communication system, allocate a corresponding number of CPUs to the cells of each frequency point in each communication system.

In the embodiment of the present invention, different types of cells are divided into a rough division by using a communication system, and multiple frequency points are usually present in each communication system, and different types of cells may be divided into different frequency points. Detailed, that is, on the basis of a single communication system, the cells of each communication system are divided into cells of each frequency point in each communication system. Taking the LTE system as an example, if there are three frequency points in the LTE system, that is, f ₁ , f _{2 ,} and f ₃ , the LTE system cell is divided into: LTE system f ₁ frequency cell, LTE system f a cell of a frequency of ₂ frequency points and a cell of an LTE standard f ₃ frequency point, and a corresponding number of CPUs are allocated to the above three types of cells, and the sum of the total number of CPUs allocated by the above three types of cells is a CPU allocated by the cell of the LTE system. Quantity.

S130. According to the allocated CPU of each frequency point in each communication system, respectively divide the cells of the same frequency point in each group of the same communication system into the allocated CPU, where The interference within the cell set in the same CPU is greater than the interference between the cell sets divided into different CPUs.

In the embodiment of the present invention, the cell set of the same frequency in the same communication system is the basic unit of the divided cell, that is, the basic unit of different types of cells, and the cell set of the same frequency point in each group of the same communication system has been allocated. The CPU corresponding to the type of cell set. At this time, the preliminary division of the data has been completed, and the cell with a relatively large amount of data interaction in the parallel system, that is, the cell set of the same frequency point of the same system is used as a basic unit, and each basic unit is allocated. The CPU in the parallel system, and the CPU allocated by each base unit is different.

It should be noted that, in the embodiment of the present invention, the correspondence between the cell set of the same frequency point and the number of allocated CPUs in each group of the same communication system may be a one-to-many relationship or a one-to-one relationship, where each group is A set of cells of the same frequency point in the same communication system as a whole.

In an embodiment of the present invention, when a cell of the same frequency in the same communication system is divided, the cell of the determined type already has a relatively determined CPU, that is, the CPU of the determined type is allocated in the foregoing CPU. The division is performed within the scope of the above division. The division principle is that the cells in the parallel system are divided into different types of cells in units of communication systems and frequency points, so that the amount of data interaction between each type of cells is as small as possible; similarly, When the CPU is divided into cells of the same frequency in the same system, the above principles can also be followed. The embodiment of the present invention determines the amount of data interaction between cells based on interference between cells, for example, cells in the same frequency in the same system. The data interaction between any two interfering cells is considered to be the largest, and the data interaction between any two unidirectional interfering cells is second, and the data interaction between any two non-interfering cells is the least, according to the above principles. A plurality of cell sets with higher interference concentration can be divided into different CPUs, that is, divided into cells in the same CPU. Dividing the interference is greater than the interference between a set of different cells in the CPU, i.e., reducing the amount of data interaction between the CPU in parallel, thereby achieving the purpose of improving the efficiency of distributed parallel computing system.

The data configuration method provided by the embodiment of the present invention allocates a corresponding number of CPUs for cells of each communication system in the distributed parallel system, and each of the communication systems is based on the CPU allocated by the cell of each communication system. The cells of the frequency point are allocated a corresponding number of CPUs, so that the cells of the same frequency point in each group of the same communication system are respectively allocated to the allocated CPUs on the basis of the CPU allocated by the cells of each frequency point in each communication system. The interference in the cell set divided into the same CPU is greater than the interference between the cell sets divided into different CPUs; the embodiment of the present invention In the communication system and the different frequency points in each communication system, the cell is divided, and the cell with more interference relationship and the cell with interference relationship with the cell are divided into the same CPU, thereby realizing the reduction of the parallel CPU. The effect of the amount of data interaction is to reduce the amount of data interaction between parallel CPUs through the data processing relationship between each CPU in a reasonable distributed parallel system, thereby improving the computational efficiency of the distributed parallel system.

Optionally, FIG. 2 is a flowchart of another data configuration method according to an embodiment of the present invention. On the basis of the foregoing embodiment shown in FIG. 1, the embodiment of the present invention provides a cell allocation for different communication systems. The implementation of the CPU, that is, S110 in the foregoing embodiment, may include:

S111: respectively measure the operation time consumed by the same number of cells and UE scale simulation preset time of each communication system.

S112. Assign a corresponding number of CPUs to the cells of each communication system according to the measured operation time and the number of cells in each communication system.

For example, the distributed parallel system also includes the LTE system, the GSM system, and the UMTS system. The number of cells in the three communication systems are: iCellNum _LTE , iCellNum _GSM, and iCellNum _UMTS , and the total number of CPUs in the distributed parallel system is iCpuNum. . First, measuring 10 UEs in one cell of the LTE system, 10 UEs in one cell of the GSM system, and 10 UEs in one cell of the UMTS system respectively simulate the operation time of 10 milliseconds (ms): t _LTE , t _GSM, and t _UMTS ; secondly, the above-mentioned operation time and the number of cells of each communication system are known, and the number of CPUs allocated for the cell of each communication system is:

LTE system:

GSM format:

UMTS format:

Optionally, in the embodiment of the present invention, a manner of allocating CPUs to cells of different frequency points of the same communication system, that is, S120 in the foregoing embodiment may be: a CPU and a per-cell allocated according to each communication system. The number of cells at each frequency point in the communication system, and the corresponding number of CPUs are allocated to the cells of each frequency point in each communication system.

Optionally, in the embodiment of the present invention, the three frequency points f ₁ , f _{2 ,} and f ₃ in the LTE system are also taken as an example to illustrate the number of cells in the intermediate frequency points f ₁ , f _{2 ,} and f ₃ in the LTE system. The number of CPUs allocated to the cell in the LTE system is iCpuNum _LTE , and the number of CPUs allocated to the cell in each frequency point in the LTE system are respectively: iCellNum ₁ , iCellNum _{2 ,} and iCellNum ₃ respectively:

LTE system intermediate frequency point f ₁ :

MF system intermediate frequency point f ₂ :

LTE system intermediate frequency point f ₃ :

It should be noted that the foregoing implementation manners and calculation formulas for allocating CPUs in S110 and S120 are only a schematic description of the embodiments of the present invention. The embodiments of the present invention may also allocate CPUs in other manners, as long as they can be parallelized. The CPU in the system can be reasonably allocated to cells of different frequency points in different communication systems.

Through the foregoing implementation of the allocation CPU, a cell of each frequency point in each communication system can be allocated to a corresponding number of CPUs, and then, cells of the same frequency point in the same communication system need to be divided, which is also an embodiment of the present invention. The cell is divided into key contents in the corresponding CPU.

It has been explained in the above embodiments that the basic unit of the cell type is a cell of the same frequency point in the same communication system. Optionally, in the embodiment of the present invention, the cells of the same frequency point in the same communication system are recorded as the first packet cell unit, and the following embodiments of the present invention are in the manner of dividing the cells by using the first packet cell unit. The basic unit is divided. In an implementation manner of the embodiment of the present invention, the correspondence between the first group of cell units and the allocated number of CPUs is one-to-many For example, it is explained that each of the first packet cell units is allocated a plurality of CPUs. FIG. 3 is a flowchart of still another data configuration method according to an embodiment of the present invention. On the basis of the foregoing embodiment shown in FIG. 1, S130 in the embodiment of the present invention may include the following steps, that is, S131~ S132:

S131. Set an interference weight matrix of each first packet cell unit according to interference between cells in each first packet cell unit, where the interference weight matrix is used to indicate an interference relationship between cells in each first packet cell unit. .

S132. Divide the cells in each first packet cell unit into the allocated CPU according to the established interference weight matrix of each first packet cell unit and the allocated CPU.

In the embodiment of the present invention, considering each first packet cell unit as a basic unit, considering interference between all cells in a first packet cell unit, establishing an interference weight matrix for each first packet cell unit is established. The row and column of the interference weight matrix are corresponding to the number of cells in the first packet cell unit, wherein each element in the interference weight matrix is used to indicate interference of each cell in the corresponding first packet cell unit with other cells Relationship, the interference relationship includes mutual interference, one-way interference, and no interference. The inter-cell interference relationship is an important factor determining the amount of data exchange between CPUs. The cells in each first packet cell unit are divided according to the interference relationship. The general principle is to use a cell with a large interference weight and the same. The cell with interference relationship in the cell is divided into one CPU as much as possible, that is, the interference weight between the sets of cells divided into different CPUs is the smallest, thus reducing the amount of data interaction between CPUs, thereby improving the computational efficiency of the distributed parallel system. .

Optionally, in another implementation manner of the embodiment of the present invention, that is, on the basis of the embodiment shown in FIG. 3, the correspondence between the first grouping cell unit and the allocated number of CPUs may further include a one-to-many relationship. In a one-to-one relationship, at this time, a cell of the same frequency point in the same communication system to which a plurality of CPUs is allocated is recorded as a first packet cell unit, and a cell of the same frequency point in the same communication system to which one CPU is allocated is recorded. In the process of allocating the CPU to the second packet cell unit, that is, in the process of allocating the CPU in S110 and S120, the second packet cell unit is allocated only one CPU, and if the cells in the second packet cell unit are divided in the manner of S131 to S132, The method of the present embodiment may further include:

S133. Divide the cells in the second grouping cell unit into the allocated one CPU, respectively.

Embodiments of the present invention allocate a first packet cell unit to which a plurality of CPUs are allocated The second packet cell unit of the CPU performs the difference processing. In practical applications, for example, the calculation amount in the GSM system may be relatively small, and a CPU of a certain frequency point in the GSM system may be allocated to meet the calculation requirement, that is, the type. The amount of calculation in the cell can be performed in one CPU, which is conducive to saving system resources and has a more convenient distribution method.

It should be noted that, in the embodiment of the present invention, the execution order of S133 and S131-S132 is not limited, and may be performed sequentially or in parallel. FIG. 3 is performed by taking S133 after S131-S132 as an example.

Optionally, in the embodiment of the present invention, a manner of establishing an interference weight matrix of each first packet cell unit is as shown in FIG. 4, and an interference right is established in the data configuration method provided in the embodiment shown in FIG. Flowchart of the value matrix. The method for establishing an interference weight matrix in the embodiment of the present invention includes the following steps, namely, S210 to S250:

S210. Calculate, according to channel parameters and cell locations configured in the distributed parallel system, large-scale fading values of each of the cells in each of the first packet cell units to each grid point in the simulation region.

In practical applications, the entire simulation range can be discretized by a grid. The grid can be square, rectangular or hexagonal. The grid points can be configured as the center point of the grid, and the size and shape of the grid can be configured. As shown in FIG. 5, it is a schematic diagram of a cell distribution in the data configuration method provided by the embodiment shown in FIG. 4. The cell in FIG. 5 is a cell in one of the first packet cell units. If the number of cells in a certain first group of cell units is m, and the number of grid points in the entire simulation range is k*l, k*l*m large is calculated for the first group of cell units. Scale fading value.

S220. Calculate reference signal receiving power of each cell to each grid point in each first packet cell unit according to configured power of each cell in the distributed parallel system and the calculated large-scale fading value (Reference Signal Receiving) Power, referred to as: RSRP).

In the embodiment of the present invention, for each first group of cell units, the number of RSRPs that need to be calculated may also be k*l*m.

S230. Determine, according to the calculated RSRP, a coverage area of each cell in each first packet cell unit, where the coverage of each cell is a set of multiple grid points, where the coverage area of the cell A is The feature of the point is: the RSRP maximum value of the cell A to the grid points in the first packet cell unit to which the cell A belongs.

In the embodiment of the present invention, for a grid point, the RSRP with m cells calculates a cell corresponding to the maximum value among the m RSRPs, and uses the grid point as one of the coverage areas of the cell. FIG. 6 is a schematic diagram of a cell coverage in the data configuration method provided by the embodiment shown in FIG. 4. The cell in FIG. 6 is also a cell in one of the first packet cell units.

S240. Establish an interference matrix of each first packet cell unit according to the calculated RSRP and the coverage of each cell in each first packet cell unit.

In each embodiment of the present invention, in each first packet cell unit, the RSRP of each cell to each grid point and the coverage of each cell are known. At this time, the interference matrix of each first packet cell unit may be established. . Optionally, in the embodiment of the present invention, the implementation of the interference matrix of the first packet cell unit may be: in each first packet cell unit, traversing the interference of each cell and other cells to obtain each first The interference matrix IntValue of the packet cell unit, the row and the column of the interference matrix are the number of cells of the first packet cell unit, that is, the size of the interference matrix IntValue is [iCellNum, iCellNum], and each element in the interference matrix is used to indicate the The size of interference between cells in the first packet cell unit.

It should be noted that, in each first packet cell unit, the interference of each cell with other cells is the maximum value of RSRP of other cells in the coverage of the cell; or, the interference of each cell with other cells is other cells. The average value of the RSRP in the coverage of the cell; or the interference of each cell with other cells is the number of RSRPs of the other cells in the coverage of the cell is greater than the RSPR threshold, and the RSPR threshold is, for example, a configurable value.

S250. Acquire an interference weight matrix of each first packet cell unit according to the configured interference threshold and the interference matrix of each first packet cell unit.

Optionally, in the embodiment of the present invention, the implementation manner of S250 may include the following steps, that is, S251 to S257:

S251. Calculate, according to the interference threshold and the interference matrix of each first packet cell unit, an interference identifier matrix and an average number of interference cells of each first packet cell unit.

In the method provided by the embodiment of the present invention, the interference threshold is a configurable value, and the subsequent processing may also change, that is, the interference threshold at the initial time may be an empirical value pre-configured by the designer. Each element in the interference matrix IntValue of the interference threshold fIntValueThr can be compared, and an element in the interference matrix greater than or equal to fIntValueThr is set to 1, less than or equal to fIntValueThr. The element is set to 0, and the interference identification matrix IntFlag for each first packet cell unit is obtained, and the size of the interference identification matrix IntFlag is also [iCellNum, iCellNum].

Then, the number of interfering cells of each cell in the current first packet cell unit may be calculated by using the interference identification matrix IntFlag, thereby obtaining the average number of interfering cells iIntNum _{avg of} the first packet cell unit.

The embodiment of the present invention determines the final interference threshold required to calculate the interference weight matrix by comparing the average number of interfering cells iIntNum _{avg of} each first packet cell unit with the configured first cell threshold iIntCellNum _thr . The first cell threshold iIntCellNum _thr configured in the example is a threshold for the number of cells, and when iIntCellNum _thr and iIntNum _avg are compared, the interference threshold can be dynamically adjusted, and each first is calculated according to the dynamically adjusted interference threshold. The interference weight matrix of the packet cell unit; if the comparison result is the same, it indicates that the interference threshold in S251 is the final interference threshold required to calculate the interference weight matrix. According to the above technical solution, the steps after S251 may include:

S252. Determine whether the first cell threshold is equal to the average number of interfering cells. If not, execute S253; if they are equal, execute S256.

S253. Determine whether the threshold of the first cell is greater than the average number of interfering cells. If yes, execute S254; if no, execute S255.

S254. Reduce the interference threshold by the first convergence threshold. That is readjusted interference threshold, i.e. fIntValueThr = fIntValueThr-Δ _y, wherein the first convergence threshold Δ _y, Δ _y changes with the size of the dynamic abs (iIntCellNum _thr -iIntNum _avg) a, abs (iIntCellNum _thr -iIntNum _avg) more When large Δ _{y is} large, abs (iIntCellNum _thr -iIntNum _avg ) is small, Δ _{y is} small, the purpose is to speed up the convergence of the algorithm. Then returning to re-execution S251, since the interference threshold is re-adjusted, it is necessary to acquire the interference weight matrix according to the re-adjusted interference threshold. Then, the loop returns to execution S251 until the judgment result in S252 is equal.

S255. Increase an interference threshold by a second convergence threshold. Is also necessary to readjust the interference threshold, i.e. fIntValueThr = fIntValueThr + Δ _x, wherein the second convergence threshold Δ _{_x,} Δ _x with abs (iIntCellNum _thr -iIntNum _avg) The size of the dynamic changes, abs (iIntCellNum _thr -iIntNum _avg) When larger, Δ _{y is} larger, and when abs (iIntCellNum _thr -iIntNum _avg ) is smaller, Δ _{y is} smaller, and the purpose is to speed up the convergence of the algorithm. Then, it is also returned to re-execute S251. Since the interference threshold is re-adjusted, it is necessary to acquire the interference weight matrix according to the re-adjusted interference threshold. Then, the loop returns to execution S251 until the judgment result in S252 is equal.

S256. Acquire an initial interference weight matrix of each first packet cell unit. The method for obtaining the initial interference weight matrix in the embodiment of the present invention is the same as the method for obtaining the interference identification matrix in S251, and the initial interference weight matrix is the interference identification matrix calculated by using the interference threshold and the interference matrix when the comparison result is the same. That is to say, the interference identification matrix in S251 is executed last time as the initial interference weight matrix.

S257. Correct the initial interference weight matrix according to the interference relationship between cells in each first packet cell unit, to obtain an interference weight matrix of each first packet cell unit.

Find the mutually interfered cells in the initial interference weight matrix, change the weight between them to 2, and the cell has its own interference weight of 0, that is, the value of the diagonal in the initial interference weight matrix is corrected to 0. The interference weight matrix represents the interference relationship between the cells in the corresponding first packet cell unit, as shown in FIG. 7 , which is a schematic diagram of a cell interference relationship in the data configuration method provided by the embodiment shown in FIG. 4 , The cell is also a cell in one of the first packet cell units.

Optionally, in the embodiment of the present invention, FIG. 8 is a flowchart of a cell dividing method in the data configuration method provided by the embodiment shown in FIG. The embodiment shown in FIG. 8 provides an implementation manner of S132 in the data configuration method shown in FIG. 3, that is, S132 in the embodiment shown in FIG. 3 may include the following steps, namely, S310-S330:

S310. Perform preliminary division on the cells in each first packet cell unit according to the interference weight matrix of each first packet cell unit and the allocated CPU.

S320, in each first packet cell unit, respectively, adjusting, by the isolated CPU, a CPU having a cell number greater than a second cell threshold, and a cell in a CPU having a cell number smaller than a second cell threshold, where the CPU is isolated The number of cells is smaller than the second cell threshold, and the cells in the isolated CPU have no interference relationship with the undivided cells.

The isolated CPU in the embodiment of the present invention is defined as: the number of cells in the CPU is smaller than the threshold of the second cell, and all the cells in the CPU have no interference relationship with the undivided cells, and the cells in the CPU can be removed, and Dividing into the CPU with the largest interference weight, and then finding the cell corresponding to the largest interference weight and the cell having direct interference relationship with the cell in the unallocated cell set, and dividing the group of cells formed by them into the current Isolate the CPU.

S330. In each first packet cell unit, respectively, according to the existing cell in each CPU, the unallocated cells in the current first packet cell unit are allocated to the corresponding CPU.

S340. Divide the legacy cell and the isolated cell into corresponding CPUs in each first packet cell unit.

It should be noted that the description in the embodiment of the present invention is as follows:

Definition 1: For a certain first packet cell unit, the set of already divided cells in the i-th CPU allocated thereto is S _i , the initial value of the set S _i is null, and S _remain is the current first packet cell All of the units are a set of unallocated cells, and S is a set of whole network cells, that is, a set of all cells in the current first packet cell unit.

Definition 2: For a certain first packet cell unit, the interference weight of the cell c _j and the cell set S _i is defined as the sum of the interference weights of each cell in the cells c _j and S _i , and is denoted as fWgt (c _j ,S _i ).

Definition 3: For a certain first packet cell unit, the interference weight between the cell set S _i and the cell set S _j is defined as the sum of the interference weights of each cell in S _i and each cell in S _j , Recorded as fWgt(S _i , S _j ).

Optionally, in the implementation of the embodiment shown in FIG. 8, the manner of preliminary division is as shown in FIG. 9 , which is a flowchart of a method for initially dividing a cell in the data configuration method provided by the embodiment shown in FIG. 3 . The embodiment shown in FIG. 9 provides an implementation manner of S310 in the process shown in FIG. 8. In the following description, an embodiment of the present invention is shown by taking a division manner in a certain first group of cell units as an example. All steps in the flow are required to be performed for each first packet cell unit. The process shown in Figure 9 includes the following steps, namely S311 to S319:

S311. Determine whether all CPUs in the first packet cell unit currently allocate cells. If the result of the determination is "YES", the flow is ended; if the result of the determination is "NO", then S312 is executed.

S312. Acquire a first interference weight of each unallocated cell and a current cell set in the first first cell unit, and obtain a maximum first interference weight. The first interference weight calculated in the embodiment of the present invention is fWgt(c _i , S), c _i represents each unallocated cell, and the maximum value in fWgt(c _i , S) is represented as fWgt _max .

S313. Acquire an interference cell set by using a maximum first interference weight, where the interference cell set is a cell corresponding to a maximum first interference weight and a cell having an interference relationship with the cell. The set of interfering cells in the embodiment of the present invention is represented as S _{pre_malloc} .

S314. Calculate a second interference weight and a number of public cells of the set of cells in the interfering cell set and each CPU in the current first packet cell unit.

The second interference weight in the embodiment of the present invention is represented as fWgt(S _{pre_malloc} , S _i ), and then, according to the foregoing public cell number, or according to the number of public cells and the second interference weight, the interference cell set is divided into corresponding In the CPU, the implementation of the partitioning is as follows, after S314, including:

S315. Determine whether the number of public cells is all 0. If there is a non-zero value in the number of public cells, S316 is performed; if the number of public cells is 0, S317 is performed.

S316. The cells in the interference cell set are divided into CPUs with the largest number of public cells, and the interference cell set and the public cell of the CPU are combined. Then, the flow returns to the loop execution S311 until the judgment result in S311 is "YES", and the flow is ended.

S317: Determine whether the second interference weight is all 0. If all is 0, S318 is executed; if it has a non-zero value, S319 is executed.

S318. The cells in the interference cell set are divided into a CPU with a cell number of zero. Then, the flow returns to the loop execution S311 until the judgment result in S311 is "YES", and the flow is ended.

S319. The cells in the interference cell set are divided into CPUs corresponding to the maximum second interference weight. Then, the flow returns to the loop execution S311 until the judgment result in S311 is "YES", and the flow is ended.

Optionally, in the implementation of the embodiment shown in FIG. 8, the manner of performing cell adjustment is as shown in FIG. 10, which is a flowchart of a cell adjustment method in the data configuration method provided by the embodiment shown in FIG. The embodiment shown in FIG. 10 provides an implementation manner of S320 in the process shown in FIG. 8. In the following description, an embodiment of the present invention is illustrated by using a division manner in a certain first packet cell unit. All steps in the flow are required to be performed for each first packet cell unit.

In the embodiment shown in FIG. 10, first, the cells in the isolated CPU in each first packet cell unit are adjusted, including the following steps, that is, S3210 to S3235:

S3210: Acquire a first CPU set {S _seg } in which the number of cells in the CPU is smaller than a threshold of the second cell. The second cell threshold iThresh1 in the embodiment of the present invention is an average value of the number of cells in all current CPUs, and the set of cells in the jth CPU in the {S _seg } is S _{seg_j} . Then, it is necessary to traverse each of the isolated CPUs in the first CPU set and adjust the cells in the isolated CPUs, which may include the following steps, namely, S3211 to S3217:

S3211, it is judged whether {S _seg } is processed. If it is processed, S3220 is executed; if it is not processed, S3212 is executed, that is, the cell set in the next CPU is processed.

S3212: Determine whether the cell and S _remain are isolated in S _{seg_j} . S _remain for the current packet a first unit cell unassigned set of cells, if they are isolated, S3213 is performed; if not isolated, is performed S3211. In the embodiment of the present invention, the third interference weight fWgt (S _{seg_j} , S _remain ) of S _{seg_j} and S _remain is calculated. If the value is 0, the cell in S _{seg_j} does not interfere with the cell in S _remain . The relationship, that is, is isolated, executes S3213; if the value is greater than 0, it indicates that it is not isolated, and the loop returns to execution S3211.

S3213. Calculate a fourth interference weight of each cell and S _i in S _{seg_j} . S _i is a set of cells in other CPUs of the current first packet cell unit, and the fourth interference weight is fWgt(c _j , S _i ).

S3214: Determine whether the maximum fourth interference weight is 0. If it is not 0, S3215 is executed; if it is 0, S3216 is executed.

S3215: Acquire a cell c _max and a CPU cell set S _max corresponding to the maximum fourth interference weight, and delete the cell c _max from S _{seg_j} and divide into S _max . Then return to loop execution S3213.

S3216, calculation of S _remain fifth interference fWgt weight of each cell (c _inner, S _remain).

S3217: The cell corresponding to the maximum fifth interference weight and the cell in the S _remain that have an interference relationship with the cell are allocated to S _{seg_j} . Then return to loop execution S3211.

In the embodiment shown in FIG. 10, the next step is to adjust the cell in the CPU of each of the first packet cell units that is greater than the second cell threshold, and may include the following steps, that is, S3220 to S3224:

S3220: Acquire a second CPU set {S _great } in which the number of cells in the CPU is greater than a threshold of the second cell. The set of cells in the jth CPU in the {S _great } is S _{great_j} . Then, it is necessary to traverse each CPU in the second CPU set, and adjust the cells in the CPUs until the number of cells in the CPUs does not meet the condition that is greater than the threshold of the second cell, and may include the following steps, that is, S3221 to S3224:

S3221, determining whether {S _great } is processed. If it is processed, S3230 is executed; if it is not processed, S3222 is executed, that is, the cell set in the next CPU is processed.

S3222: Determine whether the number of cells in S _{great_j} is greater than a threshold of the second cell. If yes, execute S3223; if no, return to loop execution S3221.

S3223: Calculate a sixth interference weight of each cell in S _{great_j} . The sixth interference weight is fWgt(c _inner , S _{great_j} ).

S3224: The cell corresponding to the minimum sixth interference weight is deleted from S _{great_j} and divided into S _remain . Then return to loop execution S3222.

In the embodiment shown in FIG. 10, the last adjustment of the cell in the CPU of each of the first packet cell units whose cell number is smaller than the threshold of the second cell may include the following steps, that is, S3230 to S3235:

S3230: Acquire a third CPU set {S _less } in which the number of cells in the CPU is smaller than the threshold of the second cell. The set of cells in the jth CPU in the {S _less } is S _{less_j} . Then, it is necessary to traverse each CPU in the third CPU set, and adjust the cells in the CPUs until the number of cells in the CPUs does not meet the condition that is smaller than the second cell threshold, and may include the following steps, namely, S3231 to S3235:

S3231, it is judged whether {S _less } is processed. If the processing is completed, the process ends, that is, all CPUs have been traversed; if not processed, S3232 is executed, that is, the cell set in the next CPU is processed.

S3232: Determine whether the number of cells in S _{less_j} is smaller than a threshold of the second cell. If yes, execute S3233; if no, return to loop execution S3231.

S3233: Calculate a seventh interference weight of each cell in S _remain with S _{less_j} . The seventh interference weight is fWgt(c _i , S _{less_j} ).

S3234: Determine whether the maximum seventh interference weight is 0. If not, execute S3235; if yes, return to loop execution S3231, that is, process the cell in the next S _{less_j} .

S3235: The unallocated cell corresponding to the maximum seventh interference weight is divided into S _{less_j} . Then return to loop execution S3232.

Optionally, in the foregoing embodiment shown in FIG. 10, an implementation manner of adjusting a cell in a CPU in which the number of cells in each first packet cell unit is smaller than a threshold of the second cell, that is, S3230 to S3235 may have an alternative manner, as shown in the figure. 11 is an alternative flowchart of a part of the flow in the cell adjustment method provided by the embodiment shown in FIG. That is, the above S3230 to S3235 can be replaced by:

S410. Acquire a third CPU set {S _less } in which the number of cells in the CPU is smaller than a threshold of the second cell, and the set of cells in the jth CPU in the {S _less } is S _{less_j} . Then, it is necessary to traverse each CPU in the third CPU set, and adjust the cells in the CPUs until the number of cells in the CPUs does not meet the condition that is smaller than the threshold of the second cell, and may include the following steps, that is, S420 to S450:

S420, determining whether {S _less } is empty. If it is "empty", the process ends, indicating that there is no CPU in the first packet cell unit that has a smaller number of cells than the second threshold; if not empty, executing S430, that is, processing the cell set in the next CPU .

S430. Calculate a seventh interference weight of each cell in S _remain and S _{less_j} . The seventh interference weight is fWgt(c _i , S _{less_j} ).

S440. Determine whether the maximum seventh interference weight is 0. If it is not 0, S450 is executed; if it is 0, the flow ends.

S450. Acquire an unallocated cell c _max and a cell set S _{less_max} corresponding to a maximum seventh interference weight, and divide c _max into S _{less_max} . Then return to loop execution S410 until it is judged that {S _less } is empty.

Optionally, in the implementation of the embodiment shown in FIG. 8, the method for performing cell expansion is as shown in FIG. 12, which is a flowchart of a cell extension method in the data configuration method provided by the embodiment shown in FIG. The embodiment shown in FIG. 12 provides an implementation manner of S330 in the process shown in FIG. 8. In the following description, an embodiment of the present invention is shown by taking a division manner in a certain first group of cell units as an example. All steps in the flow are required to be performed for each first packet cell unit. An extension of the embodiment of the present invention is to divide an unallocated cell in each first packet cell unit into a CPU having a maximum interference weight with the cell. The process of the embodiment of the present invention may include the following steps, that is, S331~ S335:

S331. Acquire a fourth CPU set {S _less } in which the number of cells in the CPU is smaller than a third cell threshold. The third cell threshold in the embodiment of the present invention is a rounded value of the total number of cells in the first packet cell unit divided by the number of CPUs, and the set of cells in the jth CPU in the {S _less } is S _{less_j} . Then, it is necessary to traverse each of the CPUs in the fourth CPU set, and use the CPUs as objects for cell expansion until the number of cells in the CPUs does not meet the threshold of the third cell threshold, and may include the following steps, namely, S332 to S335:

S332, determining whether {S _less } is empty. If it is "empty", the process ends, that is, the CPU in the first packet cell unit does not have a cell number less than the third threshold; if not, the process proceeds to S333, that is, the cell in the next CPU is processed. set.

S333. Calculate an eighth interference weight of each cell in S _remain and S _{less_j} . The eighth interference weight is fWgt(c _i , S _{less_j} ).

S334. Determine whether the maximum eighth interference weight is 0. If not, execute S335; if yes, the process ends.

S335. Acquire an unallocated cell c _max and a cell set S _{less_max} corresponding to a maximum eighth interference weight, and divide c _max into S _{less_max} . Then it returns to loop execution S331 until it is judged that {S _less } is empty.

Optionally, in the implementation of the embodiment shown in FIG. 8 , a manner of performing cell supplementary processing is shown in FIG. 13 , which is a flowchart of a cell supplementary processing method in the data configuration method provided by the embodiment shown in FIG. 3 . The embodiment shown in FIG. 13 illustrates an implementation manner of S340 in the process shown in FIG. 8. In this embodiment, a partitioning manner in a certain first packet cell unit is taken as an example, as shown in FIG. All steps in the flow need to be performed for each first packet cell unit. In the embodiment of the present invention, the supplementary processing is performed on the cell legacy in the foregoing process, and the legacy cell includes two types: first, an isolated cell or an isolated cell set, and the cell and the cell set are different from the foregoing method for dividing the cell. The method of the present invention and the cell set are placed in which CPU has no effect on the data interaction delay. Second, the legacy cell, because the foregoing processing does not guarantee that all the cells are processed, the process of the embodiment of the present invention may include the following steps. , ie S341 ~ S345:

At S341, it is determined whether S _remain empty. If it is "empty", the process ends, that is, the cell in the first packet cell unit that does not need to be supplemented is not present; if it is not "empty", S342 is performed.

S342. Calculate a ninth interference weight of each cell in the S _remain and the cell set S _i in each CPU. The ninth interference weight is fWgt(c _j , S _i ).

S343. Determine whether the maximum ninth interference weight is 0. If not, execute S344; if yes, execute S345.

S344. Acquire a legacy cell c _max and a cell set S _{less_max} corresponding to a maximum ninth interference weight, and divide c _max into S _{less_max} . Then returns to the loop executes S341, until it is determined S _remain empty.

S345. The isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells. Then returns to the loop executes S341, until it is determined S _remain empty.

In the foregoing embodiment, the method for dividing a cell is to divide a cell with a large interference weight and a cell with an interference relationship with the cell into one CPU as much as possible, and at the same time, It can guarantee the balance of processing data in each CPU, that is, it conforms to the principle of load balancing in parallel systems, and can make full use of each CPU.

FIG. 14 is a schematic structural diagram of a data configuration apparatus according to an embodiment of the present invention. The data configuration apparatus provided in this embodiment is applicable to the configuration of the data relationship of each CPU in the distributed parallel system, and the data configuration apparatus is implemented by combining hardware and software, and the apparatus may be integrated in the terminal equipment. In the processor, used by the processor to call. As shown in FIG. 14, the data configuration apparatus provided by the embodiment of the present invention may include: a quantity allocation module 11 and a cell division module 12.

The quantity allocation module 11 is configured to allocate a corresponding number of processor CPUs for the cells of each communication system in the distributed parallel system.

The data configuration apparatus provided by the embodiment of the present invention configures the data relationship of each CPU in the parallel system, and may be implemented by allocating a corresponding number of CPUs to different types of cells in the parallel system, for example, different communications. Systematic community.

It should be noted that the embodiment of the present invention considers that the amount of data interaction between cells in different communication modes is small, and usually only signaling interaction exists, and the simulation of codes of different communication systems may lead to complexity of the program structure and increase code maintenance. The cost of the development is not conducive to the expansion. Therefore, the cells of the different communication systems are respectively divided into different CPUs, that is, the CPUs allocated by the cells of each communication system are different in the embodiment of the present invention, thereby adapting to different communication. There is less data interaction between CPUs in the system.

The quantity allocation module 11 is further configured to allocate a corresponding number of CPUs for each frequency point cell in each communication system according to the CPU allocated by the cell of each communication system.

In the embodiment of the present invention, different types of cells are divided into a rough division by using a communication system, and multiple frequency points are usually present in each communication system, and different types of cells may be divided into different frequency points. Detailed, that is, on the basis of a single communication system, the cells of each communication system are divided into cells of each frequency point in each communication system. The total number of CPUs allocated by cells at different frequency points in each communication system is equal to the number of CPUs allocated by the cells of the communication system.

The cell division module 12 is configured to: according to the CPU allocated by the number allocation module 11 for each frequency point in each communication system, respectively divide the cells of the same frequency point in each group of the same communication system into the allocated CPU. Where the interference within the set of cells partitioned into the same CPU is greater than It is divided into interference between cell sets in different CPUs.

The data configuration device provided by the embodiment of the present invention is used to perform the data configuration method provided by the embodiment shown in FIG. 1 of the present invention, and has a corresponding function module, and the implementation principle and the technical effect are similar, and details are not described herein again.

Optionally, FIG. 15 is a schematic structural diagram of another data configuration apparatus according to an embodiment of the present invention. On the basis of the foregoing embodiment shown in FIG. 14, the embodiment of the present invention provides a quantity allocation module 11 including different pairs. The implementation of the cell allocation CPU of the communication system, that is, the quantity allocation module 11 in the above embodiment of the present invention may include: a measurement unit 13 and a quantity allocation unit 14.

The measuring unit 13 is configured to: respectively measure the operation time consumed by the same number of cells of each communication system and the UE size simulation preset time; the quantity allocation unit 14 is set to: the operation time measured according to the measurement unit 13 and For the number of cells in each communication system, a corresponding number of CPUs are allocated to cells of each communication system.

Optionally, in the data configuration apparatus provided by the embodiment of the present invention, the quantity allocation module 11 allocates a corresponding number of CPUs to the cells of each frequency point of each communication system, which may be: a cell according to each communication system. The allocated CPU and the number of cells per frequency point in each communication system allocate a corresponding number of CPUs for the cells of each frequency point in each communication system.

It should be noted that, in this embodiment, the measurement unit 13 measures the calculation time and measurement formula of the operation time consumed by the preset time of each cell of the communication system, and calculates the number of CPUs required for the cell of different communication systems and calculates different communication. The manner of the number of CPUs required by the cells at different frequency points in the system is similar to that in the foregoing embodiment, and therefore will not be described herein.

The data configuration device provided by the embodiment of the present invention is used to perform the data configuration method provided by the embodiment shown in FIG. 2 of the present invention, and has a corresponding function module, and the implementation principle and the technical effect thereof are similar, and details are not described herein again.

It has been explained in the above embodiments that the basic unit of the cell type is a cell of the same frequency point in the same communication system. Optionally, in the embodiment of the present invention, the cell of the same frequency point in the same communication system is recorded as the first packet cell unit. In an implementation manner of the embodiment of the present invention, the first packet cell unit and the foregoing are used. The correspondence between the number of CPUs is described as an example of a one-to-many relationship, that is, each of the first packet cell units is allocated a plurality of CPUs. FIG. 16 is a schematic diagram showing the structure of a data configuration apparatus according to an embodiment of the present invention. On the basis of the data configuration apparatus shown in the foregoing embodiment, the cell division module 12 may include: an interference relationship. The unit 15 and the cell dividing unit 16 are established. The data arranging apparatus shown in Fig. 16 is shown by way of example in the structure of the apparatus shown in Fig. 15.

The interference relationship establishing unit 15 is configured to: respectively establish, according to interference between cells in each first packet cell unit, an interference weight matrix of each first packet cell unit, where the interference weight matrix is used to represent each Interference relationship between cells in a packet cell unit.

The cell dividing unit 16 is configured to: according to the interference weight matrix of each first packet cell unit and the CPU allocated by the quantity allocating module 11 established by the interference relationship establishing unit 15, respectively, the cells in each first packet cell unit Divided into the allocated CPU.

Optionally, in another implementation manner of the embodiment of the present invention, that is, on the basis of the embodiment shown in FIG. 16, the correspondence between the first grouping cell unit and the allocated number of CPUs may further include a one-to-many relationship. In a one-to-one relationship, at this time, a cell of the same frequency point in the same communication system to which a plurality of CPUs is allocated is recorded as a first packet cell unit, and a cell of the same frequency point in the same communication system to which one CPU is allocated is recorded. For the second group of cell units, the method for dividing the cell for the second group of cell units in the embodiment of the present invention is that the cell dividing unit 16 is further configured to: respectively divide the cells in each of the second group of cell units into Assigned to one CPU.

It should be noted that the embodiment of the present invention does not limit the cell and the pair in the first packet cell unit. The sequence in which the cells in the second packet cell unit perform the division may be performed sequentially or in parallel.

The data configuration device provided by the embodiment of the present invention is used to perform the data configuration method provided by the embodiment shown in FIG. 3 of the present invention, and has a corresponding function module, and the implementation principle and the technical effect are similar, and details are not described herein again.

Optionally, in the implementation of the foregoing embodiment of the present invention, as shown in FIG. 17, a schematic structural diagram of an interference relationship establishing unit in the data configuration apparatus provided in the embodiment shown in FIG. The embodiment shown in FIG. 17 describes in detail the manner in which the interference weight matrix of each first packet cell unit is established, that is, the interference relationship establishing unit 15 may include:

The calculating sub-unit 151 is configured to calculate a large-scale fading value of each cell in each of the first packet cell units to each grid point in the simulation area according to the channel parameters and the cell location configured in the distributed parallel system.

The calculating sub-unit 151 is further configured to: calculate, according to the configured power of each cell in the distributed parallel system and the calculated large-scale fading value, each cell to each grid point in each first packet cell unit RSRP.

The coverage determining sub-unit 152 is further configured to determine, according to the RSRP calculated by the calculating sub-unit 151, the coverage of each cell in each first packet cell unit, where the coverage of each cell is multiple grid points. The set of grid points in the coverage of the cell A is characterized by: the RSRP maximum value of the cell A to the grid points in the first packet cell unit to which the cell A belongs.

The relationship establishing sub-unit 153 is configured to: establish, according to the RSRP calculated by the calculating sub-unit 151 and the coverage range of each cell in each of the first packet cell units determined by the coverage determining sub-unit 152, respectively, each first packet cell unit is established Interference matrix. Optionally, in the embodiment of the present invention, the interference matrix of each first packet cell unit may be obtained by traversing interference of each cell and other cells in each first packet cell unit, where each cell and each cell The interference of other cells is the maximum value of RSRP of other cells in the coverage of the cell; or the interference of each cell with other cells is the average value of RSRP of other cells within the coverage of the cell; or, each cell and other cells The interference is that the RSRP of other cells within the coverage of the cell is greater than the RSPR threshold.

The relationship establishing sub-unit 153 is further configured to acquire an interference weight matrix of each first packet cell unit according to the configured interference threshold and the interference matrix of each first packet cell unit.

Optionally, in an implementation of the embodiment of the present invention, the relationship establishing sub-unit 153 separately acquires an interference weight matrix of each first packet cell unit according to the configured interference threshold and the interference matrix of each first packet cell unit, including :

The interference identification matrix and the average number of interfering cells of each first packet cell unit are respectively calculated according to the interference threshold and the interference matrix of each first packet cell unit.

The average number of interfering cells of each first packet cell unit is compared with the configured first cell threshold.

When the comparison results are different, the interference threshold is reconfigured, and the interference weight matrix of each first packet cell unit is calculated according to the reconfigured interference threshold.

In practical applications, the comparison result includes the following two situations: when the threshold of the first cell is greater than the average number of interference cells, the interference threshold is configured to decrease the first convergence threshold; when the threshold of the first cell is less than the average number of interference cells, the interference threshold is configured. Increase the second convergence threshold.

When the comparison result is the same, the initial interference weight matrix of each first packet cell unit is obtained, and the initial interference weight matrix is corrected according to the interference relationship between cells in each first packet cell unit to obtain each first packet cell. The interference weight matrix of the unit, the initial interference weight matrix is an interference identification matrix calculated by comparing the same interference threshold and the interference matrix.

It should be noted that the schematic diagram of the cell distribution in a certain first packet cell unit involved in the embodiment of the present invention, the schematic diagram of the cell coverage range and the cell interference relationship diagram may refer to FIG. 5 to FIG. 7 in the foregoing example.

The data configuration device provided by the embodiment of the present invention is used to perform the data configuration method provided by the embodiment shown in FIG. 4 of the present invention, and has a corresponding function module, and the implementation principle and the technical effect are similar, and details are not described herein again.

Optionally, in the implementation of the foregoing embodiment, as shown in FIG. 18, it is a schematic structural diagram of a cell dividing unit in the data configuration apparatus provided in the embodiment shown in FIG. 16. The embodiment of the present invention describes in detail how a cell in each first packet cell unit is allocated to an allocated CPU. The cell dividing unit 16 may include: a preliminary dividing subunit 161, a cell adjusting subunit 162, and a supplementary processing subroutine. Unit 163.

The preliminary dividing subunit 161 is configured to: according to the interference weight matrix of each first packet cell unit and the CPU allocated by the quantity allocating module 11 established by the interference relationship establishing unit 15, respectively for each first packet cell unit The cells in the middle are initially divided.

Optionally, the manner in which the preliminary division subunit 161 performs the division in the embodiment of the present invention may be:

Acquiring, in each first packet cell unit, a first interference weight of each unallocated cell and a current cell set in the first first cell unit, and acquiring an interference cell set by using a maximum first interference weight, the interference cell The set is the cell corresponding to the largest first interference weight and the cell with the interference relationship.

Calculating a second interference weight and a number of public cells of the set of interfering cells and the set of divided cells in each CPU of the current first packet cell unit.

The interference cell set is divided into corresponding CPUs according to the number of public cells, or the number of public cells and the second interference weight.

Optionally, in an embodiment of the present invention, when the number of the public cell has a non-zero value, the cell in the interfering cell set is divided into the CPU with the largest number of common cells, and the interfering cell set and the public cell of the CPU are combined. When the number of the public cells is all 0, and the second interference weight is all 0, the cells in the interference cell set are divided into a CPU with a number of cells 0; the number of the public cells is all 0, and the second interference When the weight has a non-zero value, the cell in the interference cell set is divided into the CPU corresponding to the largest second interference weight.

It should be noted that, in the embodiment of the present invention, the implementation manner of performing the preliminary division of the cell by the preliminary division sub-unit 161 may refer to the foregoing process shown in FIG.

The cell adjustment sub-unit 162 is configured to: in each first packet cell unit, adjust the CPU in the isolated CPU, the number of cells larger than the second cell threshold, and the cell in the CPU whose cell number is smaller than the second cell threshold, The number of cells in the isolated CPU is smaller than the threshold of the second cell, and the cell in the isolated CPU has no interference relationship with the undivided cell. The definition of the isolated CPU in the embodiment of the present invention has been described in the above embodiments, and therefore will not be described herein.

Optionally, in the embodiment of the present invention, the cell adjustment sub-unit 162 may perform the adjustment on the cells in different types of CPUs: in each of the first packet cell units, first, Obtaining, by the first CPU set, that the number of cells in the CPU is smaller than the threshold of the second cell, where the second cell threshold is an average value of the number of cells in all current CPUs; respectively, in each isolated CPU of the first CPU set The cell is adjusted. Optionally, the implementation of adjusting the cells in the isolated CPU may be: performing third interference according to the set of cells in each CPU of the first set of CPUs and the unallocated set of cells in the current first packet cell unit. The weight is determined by the isolated CPU in the first CPU set, wherein the CPU with the third interference weight value of 0 is an isolated CPU, and the third interference weight is greater than 0; the CPU is not isolated; and each isolated CPU is calculated. The fourth interference weight of each of the cells in the other CPUs of the current first packet cell unit, and the cell and the CPU cell corresponding to the maximum fourth interference weight when the maximum fourth interference weight is not 0. And collecting, deleting the cell from the isolated CPU, and dividing into a CPU cell set corresponding to the maximum fourth interference weight; and calculating, when the maximum fourth interference weight is 0, calculating the unallocated cell set in the current first packet cell unit a fifth interference weight of each cell, and dividing the cell corresponding to the maximum fifth interference weight and the cell having the interference relationship with the cell corresponding to the largest fifth interference weight in the unallocated cell set into the largest fourth The scrambling value corresponds to the isolated CPU.

Next, after the first CPU set processing is completed, the second CPU set whose cell number is greater than the second cell threshold is acquired; and the cells in each CPU of the second CPU set are respectively adjusted. Optionally, the method for adjusting the cell in the CPU that is greater than the threshold of the second cell may be: calculating a sixth interference weight of each cell in each CPU of the second CPU set; The cell corresponding to the weight is deleted from the current CPU and divided into the unallocated cell set of the current first packet cell unit.

Again, after the second CPU set processing is completed, the third CPU set whose cell number is smaller than the second cell threshold is acquired; and the cells in each CPU of the third CPU set are respectively adjusted. Optionally, the method for adjusting the cell in the CPU that is smaller than the threshold of the second cell may be: calculating each CPU of each of the unallocated cell sets and the third CPU set in the current first packet cell unit. The seventh interference weight of the middle cell set; when the maximum seventh interference weight is not 0, the unallocated cell corresponding to the maximum seventh interference weight is divided into the corresponding CPU of the third CPU set.

The supplementary processing sub-unit 163 is configured to: in each of the first packet cell units, divide the unallocated cells in the current first packet cell unit into the corresponding CPU according to the existing cells in each CPU after the adjustment. .

Optionally, the method for performing the expansion processing on the adjusted cell by the supplementary processing sub-unit 163 in the embodiment of the present invention may be: acquiring, in each first packet cell unit, the number of cells in the CPU is smaller than the threshold of the third cell. a fourth CPU set, the third cell threshold is a rounded value of the total number of cells in the current first packet cell unit divided by the number of CPUs; and calculating each cell and the fourth CPU in the unallocated cell set in the current first packet cell unit The eighth interference weight of the set of cells in each CPU of the set; when the maximum eighth interference weight is not 0, the unallocated cells corresponding to the maximum eighth interference weight are divided into corresponding CPUs of the fourth CPU set.

The supplementary processing sub-unit 163 is further configured to divide the legacy cell and the isolated cell into corresponding CPUs in each of the first packet cell units.

Optionally, in the embodiment of the present invention, the supplementary processing sub-unit 163 may perform the supplementary processing on the legacy cell and the isolated cell, and may calculate, in each first packet cell unit, the current first packet cell unit. Allocating a ninth interference weight of each cell in the cell set and a cell set in each CPU; when the maximum ninth interference weight is not 0, dividing the legacy cell corresponding to the largest ninth interference weight into the corresponding CPU When the maximum ninth interference weight is 0, the isolated cell corresponding to the largest ninth interference weight is divided into the CPU with the smallest number of cells.

The interference relationship establishing unit provided in the embodiment shown in FIG. 17 is used to execute the method for establishing the interference weight matrix in the process shown in FIG. 4 of the present invention, and has a corresponding functional module, and the implementation principle and the technical effect are similar. Let me repeat. For a flowchart of an embodiment of each subunit in the embodiment of the present invention, reference may be made to FIG. 9 to FIG. 13 in the above embodiment.

In practical applications, the quantity allocation module 11 and the cell division module 12 in the embodiments shown in FIG. 14 to FIG. 18 can be implemented by a processor of the terminal device, wherein each unit and sub-unit can also pass through the terminal device. Implemented by a processor, which can be, for example, a central A central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits that implement the embodiments of the present invention.

The embodiments disclosed in the embodiments of the present invention are as described above, but are merely used to facilitate the understanding of the embodiments of the present invention, and are not intended to limit the embodiments of the present invention. Any modification and variation of the form and details of the embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention. It is still subject to the scope defined by the appended claims.

One of ordinary skill in the art will appreciate that all or a portion of the steps of the above-described embodiments can be implemented using a computer program flow, which can be stored in a computer readable storage medium on a corresponding hardware platform (according to The system, device, device, device, etc. are executed, and when executed, include one or a combination of the steps of the method embodiments.

Alternatively, all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve.

The devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.

When the device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. The above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

Industrial applicability

Embodiments of the present invention allocate a corresponding number of CPUs for a cell of each communication system in a distributed parallel system, and allocate a corresponding cell for each frequency point in each communication system based on the CPU allocated by the cell of each communication system. a number of CPUs, so that each group of cells of the same frequency in the same communication system is divided into allocated CPUs and divided into the same according to the CPU allocated by the cells of each frequency point in each communication system. The interference in the cell set in the CPU is greater than the division into no Interference with the cell set in the CPU; in the technical solution provided by the embodiment of the present invention, the cell is divided according to the communication system and different frequency points in each communication system, and the cell with more interference relationship and the The cell with interference relationship in this cell is divided into the same CPU, which achieves the effect of reducing the amount of data interaction between parallel CPUs, that is, reducing the data between parallel CPUs through the data processing relationship between CPUs in a reasonable distributed parallel system. The amount of interaction increases the computational efficiency of distributed parallel systems.

Claims

A data configuration method, including:

Allocating a corresponding number of processor CPUs for cells of each communication system in the distributed parallel system;

Assigning a corresponding number of CPUs to cells of each frequency point in each of the communication systems according to a CPU that has been allocated by a cell of each of the communication systems;

According to the allocated CPU of each frequency point in each of the communication systems, each group of cells of the same frequency in the same communication system is divided into allocated CPUs, wherein the cells are allocated to the same CPU. The interference is greater than the interference between the sets of cells divided into different CPUs.
The data configuration method according to claim 1, wherein the cells of the same frequency point in the same communication system are first packet cell units; and the cells according to each frequency point in each of the communication systems have been allocated. The CPU divides the cells of the same frequency point in each group of the same communication system into the allocated CPUs, including:

Establishing, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to represent each of the first packet cell units Interference relationship between the cells;

And dividing, according to the established interference weight matrix of each of the first packet cell units and the allocated CPU, a cell in each of the first packet cell units into the allocated CPU.
The data configuration method according to claim 1, wherein the cells of the same frequency in the same communication system in which the plurality of CPUs are allocated are the first packet cell, and the cells of the same frequency in the same communication system to which one CPU is allocated are a second group of cell units; the CPUs of the cells of the same frequency in each of the same communication systems are respectively allocated to the allocated CPUs according to the allocated CPUs of the cells in each of the communication systems, including:

Establishing, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to represent each of the first packet cell units Interference relationship between the cells;

And according to the established interference weight matrix of each of the first packet cell units and the divided a configured CPU, respectively dividing a cell in each of the first packet cell units into the allocated CPU;

The cells in each of the second packet cell units are respectively allocated to one of the allocated CPUs.
The data configuration method according to claim 2 or 3, wherein the interference weight matrix of each of the first packet cell units is respectively established according to interference between cells in each of the first packet cell units, including :

Calculating, according to channel parameters and cell locations configured in the distributed parallel system, large-scale fading values of each of the cells in each of the first packet cell units to each grid point in the simulation region;

Calculating reference signal reception for each of the cells in each of the first packet cell units to each of the grid points according to a configured power of each cell and a calculated large-scale fading value in the distributed parallel system Power RSRP;

Determining, according to the calculated RSRP, a coverage area of each of the first packet cell units, where the coverage of each of the cells is a set of multiple grid points, where the coverage of the cell A is The feature of the grid point is: the maximum RSRP of the cell A to the grid point in the first packet cell unit to which the cell A belongs;

Establishing, according to the calculated RSRP and the coverage of each of the cells in each of the first packet cell units, an interference matrix of each of the first packet cell units;

Obtaining an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units.
The data configuration method according to claim 4, wherein the acquiring an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units ,include:

Calculating, according to the interference threshold and the interference matrix of each of the first packet cell units, an interference identification matrix and an average number of interference cells of each of the first packet cell units;

Comparing the average number of interfering cells of each of the first packet cell units with the configured first cell threshold;

When the comparison result is different, the interference threshold is reconfigured, and an interference weight matrix of each of the first packet cell units is calculated according to the reconfigured interference threshold;

Acquiring an initial interference weight matrix of each of the first packet cell units when the comparison result is the same, and performing the initial interference weight matrix according to an interference relationship between cells in each of the first packet cell units. The interference weight matrix of each of the first packet cell units is obtained, and the initial interference weight matrix is an interference identifier matrix calculated by using the same interference threshold and the interference matrix.
The data configuration method according to claim 5, wherein the reconfiguring the interference threshold when the comparison result is different comprises:

When the first cell threshold is greater than the average number of interfering cells, configuring the interference threshold to decrease a first convergence threshold;

When the first cell threshold is smaller than the average number of interfering cells, configuring the interference threshold to increase a second convergence threshold.
The data configuration method according to claim 4, wherein the establishing an interference matrix of each of the first packet cell units according to the calculated RSRP and the coverage of each of the cells, respectively:

Interfering with interference of each cell with other cells in each of the first packet cell units to obtain an interference matrix of each of the first packet cell units;

The interference of each cell with other cells is the maximum value of the RSRP of the other cell in the coverage of the cell; or the interference of each cell with other cells is that the other cell is in the cell. The average of the RSRPs in the coverage; or the interference of each cell with other cells is the number of the RSRP of the other cells in the coverage of the cell is greater than the RSPR threshold.
The data configuration method according to claim 2 or 3, wherein said each of said first according to said established interference weight matrix of said first packet cell unit and said allocated CPU A cell in a packet cell unit is divided into the allocated CPU, including:

Performing, according to an interference weight matrix of each of the first packet cell units and the allocated CPU, a preliminary division of each of the cells in the first packet cell unit;

Adjusting, in each of the first packet cell units, a CPU in an isolated CPU, a number of cells greater than a second cell threshold, and a cell in a CPU having a cell number smaller than a threshold of the second cell, where the The number of cells in the isolated CPU is smaller than the threshold of the second cell, and the cell in the isolated CPU has no interference relationship with the undivided cell;

Distributing, in each of the first packet cell units, an unallocated cell in the current first packet cell unit to a corresponding CPU according to the existing cell in each of the CPUs;

In each of the first packet cell units, the legacy cell and the isolated cell are respectively divided into corresponding CPUs.
The data configuration method according to claim 8, wherein said interference weight matrix according to each of said first packet cell units and said allocated CPU are respectively associated with each of said first packet cell units The initial division of the community includes:

Obtaining, in each of the first packet cell units, a first interference weight of each unallocated cell and a current cell set in the first first cell unit, and acquiring an interference cell set by using a maximum first interference weight, The interference cell set is a cell corresponding to the maximum first interference weight and a cell having an interference relationship with the cell;

Calculating a second interference weight and a number of public cells of the set of the interfering cell and the divided cell set in each CPU of the current first packet cell unit;

And dividing the interference cell set into a corresponding CPU according to the number of the public cell, or the number of the public cell, and the second interference weight.
The data configuration method according to claim 9, wherein the dividing the set of interfering cells into the corresponding CPU according to the number of the public cells, or the number of the public cells, and the second interference weight, include:

When the number of the public cells has a non-zero value, the cells in the interference cell set are divided into CPUs having the largest number of common cells, and the interference cell set and the public cell of the CPU are combined;

When the number of the public cells is all 0, and the second interference weight is all 0, the cells in the interference cell set are divided into a CPU with a number of cells 0;

When the number of the public cells is all 0, and the second interference weight has a non-zero value, The cell in the set of interference cells is divided into CPUs corresponding to the largest second interference weight.
The data configuration method according to claim 8, wherein in each of the first packet cell units, respectively, the CPU that is isolated, the number of cells larger than the second cell threshold, and the number of cells are smaller than the second The cells in the CPU of the cell threshold are adjusted, including:

Obtaining, in each of the first packet cell units, a first CPU set whose number of cells in the CPU is smaller than the second cell threshold, where the second cell threshold is an average value of the number of cells in all current CPUs;

Adjusting, respectively, cells in each isolated CPU of the first CPU set;

After the first CPU set processing is completed, acquiring a second CPU set whose cell number is greater than the second cell threshold;

Adjusting, respectively, cells in each CPU of the second CPU set;

After the second CPU set processing is completed, acquiring a third CPU set whose cell number is smaller than the second cell threshold;

The cells in each CPU of the third CPU set are respectively adjusted.
The data configuration method according to claim 11, wherein the adjusting the cells in each of the isolated CPUs of the first CPU set respectively comprises:

Determining an isolated CPU in the first CPU set according to a third interference weight value of a set of cells in each CPU of the first CPU set and an unallocated cell set in a current first packet cell unit, where The CPU having the third interference weight value of 0 is the isolated CPU;

Calculating a fourth interference weight of each of the isolated CPUs and a set of cells in other CPUs of the current first packet cell unit;

And acquiring, when the maximum fourth interference weight is not 0, the cell and the CPU cell set corresponding to the maximum fourth interference weight, and deleting the cell from the isolated CPU, and dividing the maximum fourth interference right The value corresponds to the CPU cell set;

When the maximum fourth interference weight is 0, calculating a fifth interference weight of each cell in the unallocated cell set in the current first packet cell unit, and the cell corresponding to the maximum fifth interference weight and the A cell having an interference relationship with a cell corresponding to the maximum fifth interference weight in the unassigned cell set is allocated to the isolated CPU corresponding to the maximum fourth interference weight.
The data configuration method according to claim 11, wherein the adjusting the cells in each CPU of the second CPU set respectively comprises:

Calculating a sixth interference weight value of each cell in each CPU of the second CPU set;

The cell corresponding to the minimum sixth interference weight is deleted from the current CPU and divided into the unallocated cell set of the current first packet cell unit.
The data configuration method according to claim 11, wherein the adjusting the cells in each CPU of the third CPU set separately comprises:

Calculating a seventh interference weight of each of the cells in the unallocated cell set in the first packet cell unit and the CPU set in each CPU of the third CPU set;

When the maximum seventh interference weight is not 0, the unallocated cell corresponding to the maximum seventh interference weight is divided into corresponding CPUs of the third CPU set.
The data configuration method according to claim 8, wherein in each of the first packet cell units, according to the existing cells in each of the adjusted CPUs, the current first packet cell unit is The unallocated cells are divided into corresponding CPUs, including:

Obtaining, in each of the first packet cell units, a fourth CPU set that is smaller than a third cell threshold in the CPU, where the third cell threshold is a total number of cells in the current first packet cell unit divided by a number of CPUs. Rounding up the value;

Calculating an eighth interference weight value of a cell set in each CPU of each of the unallocated cell sets and the fourth CPU set in the current first packet cell unit;

When the maximum eighth interference weight is not 0, the unallocated cell corresponding to the maximum eighth interference weight is divided into corresponding CPUs of the fourth CPU set.
The data configuration method according to claim 8, wherein the dividing the legacy cell and the isolated cell into the corresponding CPU in each of the first packet cell units respectively includes:

Calculating, in each of the first packet cell units, a ninth interference weight of each cell in the unallocated cell set of the current first packet cell unit and a cell set in each CPU;

When the maximum ninth interference weight is not 0, the legacy cell corresponding to the maximum ninth interference weight is allocated to the corresponding CPU;

When the maximum ninth interference weight is 0, the isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells.
The data configuration method according to any one of claims 1 to 3, wherein the allocating a corresponding number of processor CPUs to the cells of each communication system in the distributed parallel system comprises:

Measuring, respectively, the operation time consumed by the same number of cells and the user equipment UE size simulation preset time of each of the communication systems;

A corresponding number of CPUs are allocated to each of the cells of the communication system based on the measured computation time and the number of cells in each of the communication systems.
The data configuration method according to any one of claims 1 to 3, wherein said CPU allocated according to a cell of each of said communication systems allocates a cell for each frequency point in each of said communication systems The corresponding number of CPUs, including:

A cell of each frequency point in each of the communication systems is allocated a corresponding number of CPUs according to the allocated CPU of each of the communication systems and the number of cells of each frequency point in each of the communication systems.
A data configuration device comprising:

a quantity allocation module, configured to: allocate a corresponding number of processor CPUs for each communication system cell in the distributed parallel system;

The quantity allocation module is further configured to: allocate, according to a CPU allocated by a cell of each of the communication systems, a corresponding number of CPUs for each frequency cell in each of the communication systems;

The cell division module is configured to allocate, according to the quantity allocation module, a CPU allocated to a cell of each frequency point in each of the communication systems, and respectively divide the cells of the same frequency point in each group of the same communication system into the allocated cells. In the CPU, the interference in the cell set divided into the same CPU is greater than the interference between the cell sets divided into different CPUs.
The data configuration apparatus according to claim 19, wherein the cell of the same frequency point in the same communication system is a first packet cell unit; the cell division module comprises:

An interference relationship establishing unit is configured to: respectively establish, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to indicate each Interference between cells in the first packet cell unit;

a cell allocation unit, configured to: according to the interference weight matrix of each of the first packet cell units established by the interference relationship establishing unit and the CPU allocated by the quantity allocation module, each of the first packets respectively The cells in the cell unit are divided into the allocated CPUs.
The data configuration device according to claim 19, wherein the cells of the same frequency in the same communication system in which the plurality of CPUs are allocated are the first packet cell unit, and the cells of the same frequency in the same communication system to which one CPU is allocated are a second grouping cell unit; the cell dividing module includes:

An interference relationship establishing unit is configured to: respectively establish, according to interference between cells in each of the first packet cell units, an interference weight matrix of each of the first packet cell units, where the interference weight matrix is used to indicate each Interference between cells in the first packet cell unit;

a cell allocation unit, configured to: according to the interference weight matrix of each of the first packet cell units established by the interference relationship establishing unit and the CPU allocated by the quantity allocation module, each of the first packets respectively a cell in the cell unit is allocated to the allocated CPU;

The cell allocation unit is further configured to respectively divide the cells in each of the second packet cell units into one allocated CPU.
The data configuration apparatus according to claim 20 or 21, wherein the interference relationship establishing unit comprises:

a calculating subunit, configured to: calculate, according to channel parameters and cell locations configured in the distributed parallel system, large scales of each grid point in each of the first packet cell units to a simulation area Fading value

The calculating subunit is further configured to: calculate each cell in each of the first packet cell units to each according to a configured power of each cell in the distributed parallel system and the calculated large-scale fading value Reference signal receiving power RSRP of the grid point;

a coverage determining subunit, configured to: determine, according to the RSRP calculated by the calculating subunit, a coverage range of each cell in each of the first packet cell units, where each of the cells has multiple coverage areas a set of grid points, wherein the grid point in the coverage of the cell A is characterized by: a maximum RSRP of the cell A to the grid point in the first packet cell unit to which the cell A belongs;

a relationship establishing subunit, configured to: calculate an RSRP and the overlay according to the calculating subunit Setting a coverage range of each of the first packet cell units determined by the coverage range determining sub-unit, and respectively establishing an interference matrix of each of the first packet cell units;

The relationship establishing subunit is further configured to: obtain an interference weight matrix of each of the first packet cell units according to the configured interference threshold and the interference matrix of each of the first packet cell units.
The data configuration apparatus according to claim 22, wherein said relationship establishing subunit acquires each of said first packet cell units respectively according to a configured interference threshold and an interference matrix of each of said first packet cell units Interference weight matrix, including:

Calculating, according to the interference threshold and the interference matrix of each of the first packet cell units, an interference identification matrix and an average number of interference cells of each of the first packet cell units;

Comparing the average number of interfering cells of each of the first packet cell units with the configured first cell threshold;

When the comparison result is different, the interference threshold is reconfigured, and an interference weight matrix of each of the first packet cell units is calculated according to the reconfigured interference threshold;

Acquiring an initial interference weight matrix of each of the first packet cell units when the comparison result is the same, and performing the initial interference weight matrix according to an interference relationship between cells in each of the first packet cell units. The interference weight matrix of each of the first packet cell units is obtained, and the initial interference weight matrix is an interference identifier matrix calculated by using the same interference threshold and the interference matrix.
The data configuration apparatus according to claim 23, wherein said reconfiguring said interference threshold when said comparison result is different comprises:

When the first cell threshold is greater than the average number of interfering cells, configuring the interference threshold to decrease a first convergence threshold;

When the first cell threshold is smaller than the average number of interfering cells, configuring the interference threshold to increase a second convergence threshold.
The data configuration apparatus according to claim 22, wherein said relationship establishing subunit determines each of said first packet cell units according to said RSRP calculated by said calculating subunit and said coverage determining subunit The coverage of the cell, respectively establishing each of the first points The interference matrix of the group of cell units, including:

Interfering with interference of each cell with other cells in each of the first packet cell units to obtain an interference matrix of each of the first packet cell units;

The interference of each cell with other cells is the maximum value of the RSRP of the other cell in the coverage of the cell; or the interference of each cell with other cells is that the other cell is in the cell. The average of the RSRPs in the coverage; or the interference of each cell with other cells is the number of the RSRP of the other cells in the coverage of the cell is greater than the RSPR threshold.
The data configuration device according to claim 20 or 21, wherein the cell allocation unit comprises:

a preliminary dividing subunit, configured to: an interference weight matrix of each of the first packet cell units and a CPU allocated by the quantity allocation module according to the interference relationship establishing unit, respectively for each of the first The cells in the packet cell unit are initially divided;

a cell adjustment subunit, configured to: in each of the first packet cell units, a CPU in the isolated CPU, a CPU having a cell number greater than a second cell threshold, and a cell in a CPU having a cell number smaller than the second cell threshold Adjusting, wherein the number of cells in the isolated CPU is smaller than the threshold of the second cell, and the cell in the isolated CPU has no interference relationship with the undivided cell;

a supplementary processing subunit, configured to: in each of the first packet cell units, divide the unallocated cells in the current first packet cell unit into corresponding ones according to the existing cells in each of the adjusted CPUs In the CPU;

The supplementary processing sub-unit is further configured to: in each of the first packet cell units, divide the legacy cell and the isolated cell into corresponding CPUs.
The data configuration apparatus according to claim 26, wherein said preliminary division subunit is allocated according to an interference weight matrix of each of said first packet cell units established by said interference relationship establishing unit and said quantity allocation module The CPU separately performs a preliminary division on the cells in each of the first packet cell units, including:

Obtaining, in each of the first packet cell units, a first interference weight of each unallocated cell and a current cell set in the first packet cell unit, and obtaining the maximum first interference weight by using a maximum first interference weight And taking the interference cell set, where the interference cell set is a cell corresponding to the maximum first interference weight and a cell having an interference relationship with the cell;

Calculating a second interference weight and a number of public cells of the set of the interfering cell and the divided cell set in each CPU of the current first packet cell unit;

And dividing the interference cell set into a corresponding CPU according to the number of the public cell, or the number of the public cell, and the second interference weight.
The data configuration device according to claim 27, wherein the dividing the set of interfering cells into the corresponding CPU according to the number of the public cells, or the number of the public cells, and the second interference weight, include:

When the number of the public cells has a non-zero value, the cells in the interference cell set are divided into CPUs having the largest number of common cells, and the interference cell set and the public cell of the CPU are combined;

When the number of the public cells is all 0, and the second interference weight is all 0, the cells in the interference cell set are divided into a CPU with a number of cells 0;

When the number of the public cells is all 0, and the second interference weight has a non-zero value, the cells in the interference cell set are divided into CPUs corresponding to the maximum second interference weight.
The data configuration device according to claim 26, wherein the cell adjustment subunit is in each of the first packet cell units, respectively, the number of CPUs and cells that are isolated CPUs, the number of cells is greater than the second cell threshold, and the number of cells is smaller than The cell in the CPU of the second cell threshold is adjusted, including:

Obtaining, in each of the first packet cell units, a first CPU set whose number of cells in the CPU is smaller than the second cell threshold, where the second cell threshold is an average value of the number of cells in all current CPUs;

Adjusting, respectively, cells in each isolated CPU of the first CPU set;

After the first CPU set processing is completed, acquiring a second CPU set whose cell number is greater than the second cell threshold;

Adjusting, respectively, cells in each CPU of the second CPU set;

After the second CPU set processing is completed, acquiring a third CPU set whose cell number is smaller than the second cell threshold;

The cells in each CPU of the third CPU set are respectively adjusted.
The data configuration apparatus according to claim 29, wherein said adjusting, respectively, each of said first CPU sets by a cell in the isolated CPU comprises:

Determining an isolated CPU in the first CPU set according to a third interference weight value of a set of cells in each CPU of the first CPU set and an unallocated cell set in a current first packet cell unit, where The CPU having the third interference weight value of 0 is the isolated CPU;

Calculating a fourth interference weight of each of the isolated CPUs and a set of cells in other CPUs of the current first packet cell unit;

And acquiring, when the maximum fourth interference weight is not 0, the cell and the CPU cell set corresponding to the maximum fourth interference weight, and deleting the cell from the isolated CPU, and dividing the maximum fourth interference right The value corresponds to the CPU cell set;

When the maximum fourth interference weight is 0, calculating a fifth interference weight of each cell in the unallocated cell set in the current first packet cell unit, and the cell corresponding to the maximum fifth interference weight and the A cell having an interference relationship with a cell corresponding to the maximum fifth interference weight in the unassigned cell set is allocated to the isolated CPU corresponding to the maximum fourth interference weight.
The data configuration apparatus according to claim 29, wherein said adjusting said cells in each CPU of said second CPU set respectively comprises:

Calculating a sixth interference weight value of each cell in each CPU of the second CPU set;

The cell corresponding to the minimum sixth interference weight is deleted from the current CPU and divided into the unallocated cell set of the current first packet cell unit.
The data configuration apparatus according to claim 29, wherein said adjusting said cells in each CPU of said third CPU set respectively comprises:

Calculating a seventh interference weight of each of the cells in the unallocated cell set in the first packet cell unit and the CPU set in each CPU of the third CPU set;

When the maximum seventh interference weight is not 0, the unallocated cell corresponding to the maximum seventh interference weight is divided into corresponding CPUs of the third CPU set.
The data configuration apparatus according to claim 26, wherein said supplementary processing subunit is respectively located in each of said first packet cell units, according to an existing small number in each of said CPUs after adjustment The area, the unallocated cells in the current first packet cell unit are divided into corresponding CPUs, including:

Obtaining, in each of the first packet cell units, a fourth CPU set that is smaller than a third cell threshold in the CPU, where the third cell threshold is a total number of cells in the current first packet cell unit divided by a number of CPUs. Rounding up the value;

Calculating an eighth interference weight value of a cell set in each CPU of each of the unallocated cell sets and the fourth CPU set in the current first packet cell unit;

When the maximum eighth interference weight is not 0, the unallocated cell corresponding to the maximum eighth interference weight is divided into corresponding CPUs of the fourth CPU set.
The data configuration apparatus according to claim 26, wherein the supplementary processing sub-unit divides the legacy cell and the isolated cell into the corresponding CPUs in each of the first packet cell units, including:

Calculating, in each of the first packet cell units, a ninth interference weight of each cell in the unallocated cell set of the current first packet cell unit and a cell set in each CPU;

When the maximum ninth interference weight is not 0, the legacy cell corresponding to the maximum ninth interference weight is allocated to the corresponding CPU;

When the maximum ninth interference weight is 0, the isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells.
The data configuration apparatus according to any one of claims 19 to 21, wherein the quantity allocation module comprises:

a measuring unit, configured to: separately measure an operation time consumed by the same number of cells and user equipment UE size simulation preset time of each of the communication systems;

The quantity allocation unit is configured to allocate a corresponding number of CPUs to each of the communication system cells according to the operation time measured by the measurement unit and the number of cells in each of the communication systems.
The data configuration apparatus according to any one of claims 19 to 21, wherein said quantity allocation module is configured for each frequency point in each of said communication systems according to a CPU to which a cell of each of said communication systems has been allocated The cell allocates the corresponding number of CPUs, including:

A cell of each frequency point in each of the communication systems is allocated a corresponding number of CPUs according to the allocated CPU of each of the communication systems and the number of cells of each frequency point in each of the communication systems.