WO2017148246A1 - Procédé et dispositif de configuration de données - Google Patents

Procédé et dispositif de configuration de données Download PDF

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Publication number
WO2017148246A1
WO2017148246A1 PCT/CN2017/073056 CN2017073056W WO2017148246A1 WO 2017148246 A1 WO2017148246 A1 WO 2017148246A1 CN 2017073056 W CN2017073056 W CN 2017073056W WO 2017148246 A1 WO2017148246 A1 WO 2017148246A1
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cell
interference
cpu
cells
packet
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PCT/CN2017/073056
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English (en)
Chinese (zh)
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周华
韩玮
刘壮
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中兴通讯股份有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines

Definitions

  • This application relates to, but is not limited to, the field of wireless communications and computer technology.
  • 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.
  • the 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.
  • 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.
  • CPUs central processing units
  • 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:
  • 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 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:
  • 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:
  • the cells in each of the second packet cell units are respectively allocated to one of the allocated CPUs.
  • 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:
  • 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;
  • 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:
  • 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
  • the value matrix is an interference identification matrix calculated by the same interference threshold and interference matrix as the comparison result.
  • the interference threshold is reconfigured, including:
  • 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:
  • 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 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.
  • the allocated CPUs including:
  • the legacy cell and the isolated cell are respectively divided into corresponding CPUs.
  • 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:
  • the interference cell set is a cell corresponding to the maximum first interference weight and a cell having an interference relationship with the cell;
  • 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:
  • 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;
  • the cells in the interference cell set are divided into a CPU with a number of cells 0;
  • the cells in the interference cell set are divided into CPUs corresponding to the maximum second interference weight.
  • 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.
  • the cells in each CPU of the third CPU set are respectively adjusted.
  • the adjusting, for each cell in the isolated CPU of the first CPU set includes:
  • the adjusting, for each cell in each CPU of the second CPU set includes:
  • 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 adjusting, for each cell in each CPU of the third CPU set includes:
  • the unallocated cell corresponding to the maximum seventh interference weight is divided into corresponding CPUs of the third CPU set.
  • 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.
  • the unallocated cell corresponding to the maximum eighth interference weight is divided into corresponding CPUs of the fourth CPU set.
  • the dividing the legacy cell and the isolated cell into the corresponding CPU in each of the first packet cell units including:
  • the legacy cell corresponding to the maximum ninth interference weight is allocated to the corresponding CPU;
  • the isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells.
  • the allocating a corresponding number of processor CPUs to the cells of each communication system in the distributed parallel system includes:
  • 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 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.
  • 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 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.
  • 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.
  • 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.
  • 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:
  • 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
  • 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 interference threshold is reconfigured, including:
  • 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:
  • 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 cell allocation unit includes:
  • 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.
  • 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:
  • the interference cell set is a cell corresponding to the maximum first interference weight and a cell having an interference relationship with the cell;
  • 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:
  • 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;
  • the interference is The cells in the cell set are divided into a CPU with a number of cells of 0;
  • the cells in the interference cell set are divided into CPUs corresponding to the maximum second interference weight.
  • 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:
  • the cells in each CPU of the third CPU set are respectively adjusted.
  • the adjusting, for each cell in the isolated CPU of the first CPU set includes:
  • the adjusting, for each cell in each CPU of the second CPU set includes:
  • 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 adjusting, for each cell in each CPU of the third CPU set includes:
  • the unallocated cell corresponding to the maximum seventh interference weight is divided into corresponding CPUs of the third CPU set.
  • 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.
  • 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.
  • the unallocated cell corresponding to the maximum eighth interference weight is divided into corresponding CPUs of the fourth CPU set.
  • 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:
  • the legacy cell corresponding to the maximum ninth interference weight is allocated to the corresponding CPU;
  • the isolated cell corresponding to the maximum ninth interference weight is divided into the CPU with the smallest number of cells.
  • 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.
  • 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 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 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.
  • 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
  • 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.
  • FIG. 1 is a flowchart of a 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.
  • FIG. 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. 5 is a schematic diagram of a cell distribution in a data configuration method provided by the embodiment shown in FIG. 4; FIG.
  • FIG. 6 is a schematic diagram of a cell coverage in a data configuration method provided by the embodiment shown in FIG. 4;
  • FIG. 7 is a schematic diagram of a cell interference relationship in a data configuration method provided by the embodiment shown in FIG. 4;
  • FIG. 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;
  • FIG. 10 is a flowchart of a cell adjustment method in a data configuration method provided by the embodiment shown in FIG. 3;
  • FIG. 11 is an alternative flowchart of a part of the process in the cell adjustment method provided by the embodiment shown in FIG. 10;
  • FIG. 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.
  • FIG. 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;
  • FIG. 18 is a diagram of a cell dividing unit in the data configuration apparatus provided in the embodiment shown in FIG. Schematic diagram.
  • the peak and spectral efficiency requirements of 5G systems are several tens or even hundreds of times that of 4G 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.
  • 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.
  • 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.
  • the method provided by the embodiment of the present invention may include the following steps, that is, S110 ⁇ S130:
  • 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.
  • LTE Long Term Evolution
  • GSM Global System for Mobile Communication
  • 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.
  • UMTS Universal Mobile Telecommunications System
  • 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.
  • 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.
  • the cells of each communication system are divided into cells of each frequency point in each communication system.
  • 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.
  • 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.
  • 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.
  • 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.
  • the cell of the determined type 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
  • 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.
  • FIG. 2 is a flowchart of another data configuration method according to an embodiment of the present invention.
  • 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.
  • 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. .
  • 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 ;
  • ms milliseconds
  • 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:
  • a manner of allocating CPUs to cells of different frequency points of the same communication system 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.
  • 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
  • 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:
  • 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.
  • the basic unit of the cell type is a cell of the same frequency point in the same communication system.
  • 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.
  • the correspondence between the first group of cell units and the allocated number of CPUs is one-to-many
  • 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.
  • S130 in the embodiment of the present invention may include the following steps, that is, S131 ⁇ S132:
  • each first packet cell 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
  • 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. .
  • the correspondence between the first grouping cell unit and the allocated number of CPUs may further include a one-to-many relationship.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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.
  • each first packet cell unit 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. .
  • 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.
  • 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.
  • the implementation manner of S250 may include the following steps, that is, S251 to S257:
  • 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].
  • 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.
  • the steps after S251 may include:
  • 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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 ).
  • 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 ).
  • 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 .
  • the embodiment shown in FIG. 9 provides an implementation manner of S310 in the process shown in FIG. 8.
  • 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.
  • 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 .
  • the set of interfering cells in the embodiment of the present invention is represented as S pre_malloc .
  • 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
  • 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.
  • 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.
  • 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.
  • FIG. 10 is a flowchart of a cell adjustment method in the data configuration method provided by the embodiment shown in FIG. 10.
  • the embodiment shown in FIG. 10 provides an implementation manner of S320 in the process shown in FIG. 8.
  • 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.
  • 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.
  • 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 .
  • 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.
  • 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.
  • 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 ).
  • 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:
  • 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 .
  • 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:
  • the seventh interference weight is fWgt(c i , S less_j ).
  • 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.
  • 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:
  • 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:
  • the eighth interference weight is fWgt(c i , S less_j ).
  • FIG. 13 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.
  • 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.
  • the supplementary processing is performed on the cell legacy in the foregoing process
  • 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.
  • 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:
  • 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.
  • the ninth interference weight is fWgt(c j , S i ).
  • 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.
  • the processor used by the processor to call.
  • 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 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.
  • 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.
  • 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.
  • 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 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.
  • 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.
  • 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.
  • 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.
  • FIG. 15 is a schematic structural diagram of another data configuration apparatus according to an embodiment of the present invention.
  • 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.
  • 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.
  • 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.
  • 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.
  • the basic unit of the cell type is a cell of the same frequency point in the same communication system.
  • the cell of the same frequency point in the same communication system is recorded as the first packet cell unit.
  • 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.
  • 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.
  • the correspondence between the first grouping cell unit and the allocated number of CPUs may further include a one-to-many relationship.
  • 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.
  • 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.
  • 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.
  • FIG. 17 a schematic structural diagram of an interference relationship establishing unit in the data configuration apparatus provided in 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.
  • 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.
  • 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.
  • the interference threshold is reconfigured, and the interference weight matrix of each first packet cell unit is calculated according to the reconfigured interference threshold.
  • 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.
  • 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.
  • the schematic diagram of the cell distribution in a certain first packet cell unit involved in the embodiment of the present invention 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.
  • 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.
  • the manner in which the preliminary division subunit 161 performs the division in the embodiment of the present invention may be:
  • each first packet cell unit 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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 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.
  • 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.
  • 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.
  • 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 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 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. .
  • 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 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 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.
  • 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 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 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.
  • 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.
  • 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.
  • 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.
  • the device/function module/functional unit in the above embodiment 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.
  • 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.

Abstract

La présente invention concerne un procédé et un dispositif de configuration de données. Le procédé de configuration de données consiste : à attribuer un nombre correspondant d'unités de traitement centrales (CPU pour Central Processing Unit) à des cellules de chaque norme de communication dans un système parallèle distribué ; à attribuer un nombre correspondant de d'unités CPU à des cellules de chaque point de fréquence dans chaque norme de communication en fonction des unités CPU attribuées des cellules de chaque norme de communication ; et à diviser de façon distincte chaque groupe de cellules du même point de fréquence de la même norme de communication en unités CPU attribuées en fonction des unités CPU attribuées des cellules de chaque point de fréquence dans chaque norme de communication, des interférences dans un ensemble de cellules divisées dans la même unité CPU étant plus importantes que celles entre des ensembles de cellules divisés en différentes unités CPU.
PCT/CN2017/073056 2016-03-01 2017-02-07 Procédé et dispositif de configuration de données WO2017148246A1 (fr)

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CN108111281B (zh) * 2017-09-12 2022-03-01 中兴通讯股份有限公司 数据信道参数配置方法及装置
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103414612A (zh) * 2013-08-29 2013-11-27 中国兵器科学研究院 一种基于opnet的通信网络实时仿真方法
CN104619029A (zh) * 2015-01-22 2015-05-13 中国科学院计算技术研究所 一种集中式蜂窝网络架构下的基带池资源分配方法和装置
CN105045670A (zh) * 2015-09-01 2015-11-11 浪潮(北京)电子信息产业有限公司 中央处理器和图形处理器负载均衡的方法和系统
WO2016026656A1 (fr) * 2014-08-22 2016-02-25 British Telecommunications Public Limited Company Attribution de ressource de petite cellule

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102457852B (zh) * 2010-10-15 2014-06-04 中国移动通信集团浙江有限公司 频率优化的实现方法和装置
US9210643B2 (en) * 2011-03-03 2015-12-08 Agency For Science, Technology And Research Communication terminal and method for performing communication
CN105359575A (zh) * 2013-09-24 2016-02-24 华为技术有限公司 一种接入点配置方法和控制器
CN104053160A (zh) * 2014-06-25 2014-09-17 电信科学技术研究院 一种小区工作频段的调整方法及装置
CN105338533B (zh) * 2014-08-13 2019-05-21 电信科学技术研究院 一种小区间干扰协调方法及装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103414612A (zh) * 2013-08-29 2013-11-27 中国兵器科学研究院 一种基于opnet的通信网络实时仿真方法
WO2016026656A1 (fr) * 2014-08-22 2016-02-25 British Telecommunications Public Limited Company Attribution de ressource de petite cellule
CN104619029A (zh) * 2015-01-22 2015-05-13 中国科学院计算技术研究所 一种集中式蜂窝网络架构下的基带池资源分配方法和装置
CN105045670A (zh) * 2015-09-01 2015-11-11 浪潮(北京)电子信息产业有限公司 中央处理器和图形处理器负载均衡的方法和系统

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