CN115087022A

CN115087022A - Physical Cell Identity (PCI) distribution method and device and electronic equipment

Info

Publication number: CN115087022A
Application number: CN202110277535.3A
Authority: CN
Inventors: 郭江; 陈茂川
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd; China Mobile Group Sichuan Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Design Institute Co Ltd; China Mobile Group Sichuan Co Ltd
Priority date: 2021-03-15
Filing date: 2021-03-15
Publication date: 2022-09-20
Anticipated expiration: 2041-03-15
Also published as: CN115087022B

Abstract

The application discloses a Physical Cell Identity (PCI) distribution method, a Physical Cell Identity (PCI) distribution device and electronic equipment, which are used for solving the problems of poor global property, low efficiency and the like of the PCI distribution method in the related art. The method comprises the following steps: acquiring MR data and engineering parameters of a cell in a target network system in a specified time period, wherein the engineering parameters comprise position information and frequency points of the cell; determining an association model of the target network system based on the MR data and the engineering parameters, wherein the association model is used for describing the frequency of the cells in the target network system subjected to the interference of the same-frequency neighboring cells; determining a target PSS value corresponding to the cell based on a preset loop iteration algorithm and the correlation model, wherein the frequency of the mode three interference caused by the cell at the corresponding target PSS value is less than the frequency of the mode three interference caused by other PSS values; determining a target SSS value of the cell based on the engineering parameters and a preset multiplexing distance; and allocating the PCI for the cell based on the target PSS value and the target SSS value of the cell.

Description

Physical Cell Identity (PCI) distribution method and device and electronic equipment

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for allocating a physical cell identity PCI, and an electronic device.

Background

Network systems such as Long Term Evolution (LTE) generally use Physical Cell Identifiers (PCI) to distinguish cells. Under the same-frequency networking, all the same-frequency cells in the network system use the same service channel resources, and when two same-frequency cells have cross coverage areas and the PCI modulo three values are equal, larger intra-system interference can be generated, so how to allocate a proper PCI to the cells in the network system is particularly important for avoiding the PCI modulo three interference.

At present, the number of times of influence between cell pairs formed by a main cell and a neighboring cell is usually analyzed, and a frequency point and a PCI with minimum interference in the cell pair are searched, so that the corresponding PCI is allocated to the cell. However, this method is only suitable for static PCI allocation of a single cell, and cannot ensure that the PCIs of the cells in the entire network system all reach a proper value, so that PCI modulo three interference in the entire network system cannot be reduced, and there are problems of poor global performance, low efficiency, and the like.

Disclosure of Invention

An embodiment of the present application provides a method, an apparatus, and an electronic device for allocating a Physical Cell Identifier (PCI), so as to solve the problems of poor global performance, low efficiency, and the like of a PCI allocation method in the related art.

In order to solve the technical problem, the embodiment of the application adopts the following technical scheme:

in a first aspect, an embodiment of the present application provides a method for allocating a Physical Cell Identity (PCI), including:

acquiring measurement report MR data and engineering parameters of a cell in a target network system in a specified time period, wherein the engineering parameters comprise position information and frequency points of the cell;

determining an association model of the target network system based on the MR data and the engineering parameters, wherein the association model is used for describing the frequency of the interference of the cells in the target network system by the same-frequency adjacent cells;

determining a target Primary Synchronization Signal (PSS) value corresponding to the cell based on a preset loop iteration algorithm and the correlation model, wherein the frequency of the mode three interference caused by the cell at the corresponding target PSS value is less than the frequency of the mode three interference caused by other PSS values;

determining a target Secondary Synchronization Signal (SSS) value of the cell based on the engineering parameters and a preset multiplexing distance;

and allocating the PCI for the cell based on the target PSS value and the target SSS value of the cell.

In a second aspect, an embodiment of the present application provides an apparatus for allocating a physical cell identity PCI, including:

the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring measurement report MR data and engineering parameters of a cell in a target network system in a specified time period, and the engineering parameters comprise position information and frequency points of the cell;

a first determining module, configured to determine, based on the MR data and the engineering parameters, an association model of the target network system, where the association model is used to describe a frequency of a cell in the target network system being subjected to co-channel neighboring cell interference;

a second determining module, configured to determine, based on a preset loop iteration algorithm and the association model, a target primary synchronization signal PSS value corresponding to the cell, where a frequency of modulo three interference caused by the cell at the corresponding target PSS value is smaller than frequencies of modulo three interference caused by other PSS values;

a third determining module, configured to determine a target secondary synchronization signal SSS value of the cell based on the engineering parameter and a preset multiplexing distance;

and the optimizing module is used for distributing the PCI to the cell based on the target PSS value and the target SSS value of the cell.

In a third aspect, an embodiment of the present application provides an electronic device, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where instructions, when executed by a processor of an electronic device, enable the electronic device to perform the method of the first aspect.

The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:

determining an association model of the target network system based on MR data and engineering parameters of a cell in the target network system in a specified time period, wherein the association model is used for describing the frequency of the cell in the target network system subjected to interference of a same-frequency neighboring cell; then, based on a preset cyclic iteration algorithm and the correlation model, determining a target Primary Synchronization Signal (PSS) value corresponding to the cell, wherein the frequency of the mode three interference caused by the cell at the corresponding target PSS value is smaller than the frequency of the mode three interference caused by other PSS values, and based on the engineering parameters and a preset multiplexing distance, determining a target Secondary Synchronization Signal (SSS) value of the cell; and finally, distributing the PCI for the cell based on the target PSS value and the target SSS value of the cell. Therefore, in the technical solution provided in the embodiment of the present application, the process of allocating PCIs to each cell is performed dynamically, the efficiency is high, and it is ensured that the frequency of the modulo three interference caused by the PSS allocated to each cell is the minimum value among the frequency of the modulo three interference caused by all available PSS values, that is, the PCI allocated to each cell in the network system is the PCI with the lowest interference in the entire network, and the overall performance is good.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a flowchart illustrating a method for allocating a physical cell identity PCI according to an exemplary embodiment of the present application;

fig. 2 is a schematic flowchart of a method for allocating a physical cell identity PCI according to another exemplary embodiment of the present application;

fig. 3 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application;

fig. 4 is a schematic structural diagram of a physical cell identity PCI allocating apparatus according to an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In order to solve the problems of poor global performance, low efficiency and the like of the PCI allocation method in the related art, one or more embodiments of the present application provide a physical cell identifier PCI allocation method, which dynamically performs the process of allocating PCIs to each cell through a loop iteration algorithm, so that the efficiency is high, and the PCI allocated to each cell in the network system is the PCI with the lowest interference in the whole network, so that the global performance is good.

It should be understood that the execution subject of the physical cell identity PCI allocation method provided in the embodiment of the present application may include, but is not limited to, a server, a computer, and the like, which can be configured to execute at least one of the methods provided in the embodiment of the present application.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Please refer to fig. 1, which is a flowchart illustrating a method for allocating a physical cell identity PCI according to an exemplary embodiment of the present application. As shown in fig. 1, the method comprises the steps of:

s102, measurement report data and engineering parameters of a cell in the target network system in a specified time period are obtained.

The target network system refers to a network system to be analyzed and sampling same-frequency networking, such as LTE, 5G New Radio (NR), and the like.

The specified time period may be any historical time period in the past, such as one week prior to the current time. Measurement Report (MR) data may include, but is not limited to, a Global Cell identity (CGI) of a Cell, a number of sampling points of an overlapped co-frequency Cell, a co-frequency interference influence degree of the overlapped co-frequency Cell on the Cell, and the like. For example, table 1 shows an example of MR data, where, taking cell 460-00-314278-65 as an example, 314726-64 represents CGI of its co-channel cell, and 0.0448 represents the co-channel interference influence degree of the co-channel cell on cell 460-00-314278-65.

TABLE 1

The engineering parameters include location information and frequency points of the cell. In practical application, MR data and engineering parameters of a cell in a target network cell in a specified time period may be acquired from an Operation Maintenance Center (OMC) and a big data platform of a target network system.

And S104, determining an association model of the target network system based on the acquired measurement report data and the engineering parameters, wherein the association model is used for describing the times of the cell in the target network system being interfered by the same-frequency adjacent cells.

Specifically, the co-frequency cells overlapped with the cells can be determined based on the acquired engineering parameters, and the number of sampling points of the overlapped co-frequency cells and the degree of influence of the overlapped co-frequency cells on the co-frequency interference of the cells can be determined based on the MR data of the overlapped co-frequency cells. Then, for each cell, the frequency of the cell interfered by the co-frequency cell can be determined based on the number of sampling points of the overlapping co-frequency cell of the cell and the degree of influence of the co-frequency interference on the cell, and the correlation model of the target network system can be further determined. More specifically, for each cell, the product of the number of sampling points of the overlapped and covered co-frequency cell of the cell and the degree of co-frequency interference on the cell by the overlapped and covered co-frequency cell can be used as the frequency of the cell interfered by the co-frequency cell. For example, table 2 shows an example of a correlation model.

TABLE 2

It should be noted that, in practical application, an association model corresponding to each frequency point in the target network system may be respectively established for each frequency point.

And S106, determining a target PSS value corresponding to the cell based on a preset loop iteration algorithm and an association model, wherein the frequency of the mode three interference caused by the cell at the corresponding target PSS value is less than the frequency of the mode three interference caused by other PSS values.

Specifically, the PCI is composed of a Primary Synchronization Signal (PSS) and a Secondary Synchronization Signal (SSS), that is, the PCI is PSS +3 × SSS, so that the PSS and the PCI are equal in modulo three, and when the PSS of two cells with the same frequency is equal, PCI modulo three interference is caused. Based on this, it may be targeted that the frequency of the modulo three interference caused by the PSS value corresponding to the cell is smaller than the frequency of the modulo three interference caused by other PSS values, a corresponding PSS is searched for each cell in the available PSS set, the frequency of the modulo three interference caused by the assigned PSS value of each cell is determined based on the correlation model, and the assigned PSS value is optimized, so that a target PSS value that minimizes the frequency of the modulo three interference caused by each cell may be determined.

And S108, determining a target SSS value of the cell based on the acquired engineering parameters and the preset multiplexing distance.

Specifically, the common-frequency cells corresponding to the cells and the distances between the cells and the common-frequency cells thereof can be determined based on the obtained engineering parameters, different SSS values corresponding to the cells with the same frequency point in the multiplexing distance are used as targets, and corresponding SSS values are allocated to the cells, so that the target SSS values of the cells can be determined.

And S110, distributing the PCI for the cell based on the target PSS value and the target SSS value of the cell.

For each cell, a target PCI of the cell, i.e., PCI ═ PSS +3 × SSS, may be determined based on the target PSS and SSS values of the cell, and the target PCI may be allocated to the cell.

Of course, it should be understood that after the corresponding PCI is first allocated to each cell, the PCI of each cell may be continuously optimized by using the PCI allocation method in the subsequent application process, so that the PCI modulo three interference frequency of the entire target network system is always kept at the lowest value.

By adopting the PCI distribution method provided by the embodiment of the application, based on the MR data and the engineering parameters of the cell in the target network system in the designated time period, the correlation model of the target network system is determined, so as to describe the frequency of the cell in the target network system being interfered by the same-frequency adjacent cell; then, based on a preset cyclic iteration algorithm and the correlation model, determining a target Primary Synchronization Signal (PSS) value corresponding to the cell, wherein the frequency of the mode three interference caused by the cell at the corresponding target PSS value is smaller than the frequency of the mode three interference caused by other PSS values, and based on the engineering parameters and a preset multiplexing distance, determining a target Secondary Synchronization Signal (SSS) value of the cell; and finally, distributing the PCI for the cell based on the target PSS value and the target SSS value of the cell. Therefore, in the technical scheme provided by the embodiment of the application, the process of allocating the PCIs to each cell is performed dynamically, the efficiency is high, the frequency of the modulo three interference caused by the allocated PSS of each cell is guaranteed to be the minimum value of the frequency of the modulo three interference caused by all available PSS values, that is, the PCI allocated to each cell in the network system is the PCI with the lowest interference in the whole network, and the global performance is good.

The implementation process of the embodiment of the present application is described below with reference to specific examples.

In one embodiment, as shown in fig. 2, the step S106 may include:

s161, establishing an interference evaluation matrix model corresponding to the target network system based on the association model, wherein the interference evaluation matrix is used for describing a total frequency of the modulo three interference caused by the cell in the target network system, the current distributed PSS value, the modulo three interference frequency caused by the current distributed PSS value, and the modulo three interference frequency caused by different available PSS values.

Specifically, first, a modulo three interference total frequency caused by a cell in the target network may be determined based on the association model, for example, for each cell, a sum of a frequency of the cell subjected to co-channel cell interference and a frequency of the cell interfering with the co-channel cell may be determined as the modulo three interference total frequency caused by the cell. Then, the cells in the target network system are sorted based on the total frequency of the modulo three interference caused by each cell, for example, in order to reduce the workload of establishing the interference evaluation matrix, reduce the consumption of processing resources, and improve the processing efficiency, the cells in the target network system may be sorted in the order from the highest to the lowest of the total frequency of the modulo three interference caused. Then, based on the sorting result, a current allocated PSS value corresponding to a cell in the target network system, a modulo three interference frequency caused by the current allocated PSS value, and a modulo three interference frequency caused by different available PSS values are determined. And finally, establishing an interference evaluation matrix model corresponding to the target network system based on the sequencing result, the current distributed PSS value corresponding to the cell in the target network system, the mode three interference frequency caused by the current distributed PSS value and the mode three interference frequency caused by different available PSS values. Preferably, in order to identify whether each cell has been allocated with a corresponding target PSS value, the available PSS value includes a natural number less than or equal to 3, i.e., {0,1,2,3}, where if the currently allocated PSS value of a cell is 0, it indicates that the PSS value is not currently allocated to the cell, and if the currently allocated PSS value of a cell is any one of {1,2,3}, it indicates that the PSS value is allocated to the cell.

Further, the interference evaluation matrix model further includes a state identifier, where the state identifier is used to identify whether the currently allocated PSS value of each cell is the target PSS value, for example, if the state identifier of the cell is FALSE, it indicates that the currently allocated PSS value of the cell is not the target PSS value; and if the state identifier of the cell is TRUE, identifying the current distributed PSS value of the cell as the target PSS value.

For example, assuming that the target network system includes 10 cells from cell 0 to cell 9, based on the above correlation model, the order of the modulo three interference total frequency caused by each cell may be determined as cell 9 (618) > cell 0 (491) > cell 7 (463) > cell 6 (440) > cell 4 (481) > cell 3 (502) > cell 8 (476) > cell 5 (385) > cell 2 (348) > cell 1 (332). Initially, the PSS value that can be allocated to each cell is 0 to indicate that each cell is not allocated with the corresponding target PSS value, and at this time, each cell is not allocated with the PCI value, so that the frequency of the modulo three interference caused by each cell at each available PSS value is 0, and thus the interference evaluation matrix model shown in table 2 can be established.

TABLE 3

S162, based on the interference evaluation matrix model, sequentially executing PSS optimization operation on the cells in the target network system until the cells in the target network system all meet preset optimization conditions, wherein the PSS optimization operation comprises the following steps: and if the cell does not meet the preset optimization condition, determining a target PSS value corresponding to the cell based on the available PSS value corresponding to the minimum value in the three-mode interference frequency caused by the cell at different available PSS values, and updating an interference evaluation matrix model based on the target PSS value of the cell, wherein the preset optimization condition comprises that the three-mode interference frequency caused by the cell at the current distributed PSS value is equal to the minimum value.

For example, table 3 shows the relevant data of the cell 9 in the association model, and the PSS optimization operation is described below by taking tables 2 and 3 as examples.

TABLE 3

First, for cell 9, any value can be selected from the available PSS values {1,2,3} to assign to cell 9, e.g., 1 to cell 9. At this time, since no PSS value is allocated to each cell, the frequency of the modulo three interference caused by each available PSS value of the cell 9 is 0, and the PSS value is the target PSS value of the cell 9. At this time, for the cell 0, since the PSS value of the cell 9 is 1, the modulo three interference frequency caused by the cell 8 when the PSS value is 1 is the sum of the co-channel interference frequency of the cell 0 received by the cell 9 and the co-channel interference frequency of the cell 9 received by the cell 0, it can be determined that the modulo three interference frequency caused by the cell 0 when the PSS value is 1 is 96 times based on table 3, and the modulo three interference frequency caused by the remaining PSS values is 0, and it can be determined that the currently allocated PSS value of the cell 0 is not the target PSS value. Similarly, the modulo three interference frequency caused by each available PSS value and the modulo three interference frequency caused by the currently allocated PSS value in each of the cells 7 to 1 may be sequentially determined according to the order of each cell in the interference evaluation matrix. Further, the interference evaluation matrix model may be updated based on the above results, and the updated interference evaluation matrix model is shown in table 4.

TABLE 4

Then, for cell 0, since cell 9 is assigned a target PSS value of 1 and none of the remaining cells are assigned PSS values, to avoid modulo three interference with cell 9, cell 0 may be assigned any of the remaining available PSS values {2,3}, e.g., 2 may be assigned to cell 0. At this time, the frequency of the modulo three interference caused by the cell 0 when the PSS values are 2 and 3 is still 0, and thus the PSS value is the target PSS value obtained by the cell 0. Meanwhile, for cell 9 and the remaining cells not allocated with the PSS value, these cells will form modulo three interference with cell 0 when the PSS value is 2, based on table 3, the modulo three interference frequency caused by these cells when the PSS value is 2 can be determined, and the interference evaluation matrix model is updated accordingly, and the updated interference evaluation matrix model is shown in table 5.

TABLE 5

By analogy, corresponding target PSS values are sequentially allocated to the cells 7 to 1, and the interference evaluation matrix model is updated until all the cells satisfy the preset optimization conditions, and the finally obtained interference evaluation matrix model is shown in table 6.

TABLE 6

By adopting the embodiment, the interference evaluation matrix model corresponding to the target network system is established based on the correlation model, and the PSS optimization operation is sequentially executed on the cells in the target network system based on the interference evaluation matrix model until the module three interference frequency caused by the current PSS value distributed by the cells in the target network system is equal to the minimum value of the module three interference frequencies caused by different available PSS values, so that the target PSS value of each cell can be more efficiently and accurately determined, the distribution process of the PSS value is dynamically performed in the whole target network system, and the module three interference frequency caused by the distributed PSS value of each cell is ensured to be the minimum value of the module three interference frequencies caused by all the available PSS values.

In one embodiment, as shown in fig. 2, the step S108 may include:

and S181, determining a used SSS value set corresponding to a preset multiplexing distance of the first cell based on the acquired engineering parameters, wherein the used SSS value set comprises a target SSS value corresponding to the second cell, the first cell is a cell to be optimized in a target network system, and the second cell is an optimized co-frequency cell whose distance from the first cell is less than the multiplexing distance.

The multiplexing distance may be set according to actual needs, for example, the multiplexing distance may be set to 4000 meters.

Specifically, based on the location information and frequency points of the cells in the engineering parameters, the co-frequency cells of the cells and the distances between the cells and the co-frequency cells can be determined.

For example, initially, each cell is not allocated with a corresponding PCI, at this time, for the cell 9, any value may be selected as the PCI of the cell, and then the target SSS of the cell, that is, the SSS value is INT (PCI/3), may be determined, and the target SSS value of the cell is added to the used SSS value set corresponding to the preset multiplexing distance of the cell. Then, for cell 0, the set of available SSS values for cell 0 includes the target SSS value for cell 9, since the co-frequency cell 9 within its reuse distance has assigned the target SSS value.

And S182, determining an unused SSS value set corresponding to the multiplexing distance of the first cell based on the available SSS value set and the used SSS value set corresponding to the target network system.

In particular, a difference set of the available SSS value set and the used SSS value set may be determined as an unused SSS value set corresponding to the first cell at the reuse distance.

In practical applications, different network systems may correspond to different sets of available SSS values, for example, the set of available SSS values corresponding to LTE may be {0,1,2 … 167}, and the set of available SSS values corresponding to NR may be {0,1,2 … 335 }.

And S183, judging whether the unused SSS value set is a non-empty set.

If the judgment result is yes, the following step S184 is performed.

And S184, determining a target SSS value corresponding to the first cell from the unused SSS value set.

Specifically, any value may be selected from the unused SSS value set as a target SSS value set corresponding to the first cell.

For example, assume that the target network system is LTE, and the cells in the target network system include the above-mentioned cells 0 to 9, and these cells are mutually the same frequency cells. Initially, for cell 9, any available SSS value, such as 0, may be selected from the set of available SSS values {0,1,2 … 167} to determine the target SSS for the cell. For cell 0, since it belongs to the same-frequency cell as cell 9 and the distance between the two cells is smaller than the preset multiplexing distance, the set of used SSS values corresponding to the multiplexing distance of cell 0 is {0}, and the set of unused SSS values corresponding to the multiplexing distance is {1,2 … }. Therefore, any value can be selected from the unused SSS value set corresponding to the cell 0 as the target SSS value of the cell 0, for example, 1 is selected.

Then, for cell 7, since the distances between cell 7 and cell 0 and cell 9 are smaller than the preset multiplexing distance and belong to the same-frequency cell, the set of used SSS values corresponding to the multiplexing distance of cell 7 is {0,1}, and the set of unused SSS values corresponding to the multiplexing distance is {2 … 167 }. Therefore, any value from the unused SSS value set corresponding to the cell 7 may be selected as the target SSS value of the cell 7, for example, 2 may be selected. And the rest is repeated until all the cells in the target network system are allocated with corresponding target SSS values.

Further, if the unused SSS value set is an empty set, the following step S185 may be performed.

And S185, updating the multiplexing distance based on the preset step size, and repeatedly executing the steps until the obtained unused SSS value set is a non-empty set.

Specifically, the multiplexing distance may be reduced by a preset step size. The preset step length can be set according to actual needs, for example, the preset step length can be set to 500 meters.

It should be understood that, in the above example, only the PCI is allocated to each cell for the first time, and in practical applications, the PCI of each cell in the target network system may be continuously optimized according to the PCI allocation method provided in any of the above embodiments of the present application.

It can be understood that, with the above embodiment, based on the available SSS value set and the used SSS value set corresponding to each cell at the preset multiplexing distance, the unused SSS value set corresponding to each cell at the multiplexing distance is determined, and then the target SSS value corresponding to each cell is determined from the unused SSS value set corresponding to each cell, so that the PCI determined based on the SSS value of each cell can satisfy the better multiplexing distance requirement.

The foregoing description of specific embodiments has been presented for purposes of illustration and description. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 3, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other by an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 3, but this does not indicate only one bus or one type of bus.

And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the physical cell identifier PCI distribution device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

determining an association model of the target network system based on the MR data and the engineering parameters, wherein the association model is used for describing the frequency of the cell in the target network system being interfered by the same-frequency adjacent cell;

The method performed by the physical cell identity PCI allocating apparatus according to the embodiment shown in fig. 1 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

The electronic device may also execute the method in fig. 1, and implement the functions of the physical cell identity PCI allocating apparatus in the embodiments shown in fig. 1 and fig. 2, which are not described herein again in this embodiment of the present application.

Of course, besides the software implementation, the electronic device of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.

Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to perform the method of the embodiment shown in fig. 1, and are specifically configured to:

Fig. 4 is a schematic structural diagram of a physical cell identity PCI allocation apparatus according to an embodiment of the present application. Referring to fig. 4, in a software implementation, the physical cell identity PCI allocating apparatus 400 may include:

an obtaining module 410, configured to obtain measurement report MR data and engineering parameters of a cell in a target network system in a specified time period, where the engineering parameters include location information and frequency points of the cell;

a first determining module 420, configured to determine, based on the MR data and the engineering parameter, an association model of the target network system, where the association model is used to describe a frequency of a cell in the target network system being subjected to co-channel neighbor interference;

a second determining module 430, configured to determine, based on a preset loop iteration algorithm and the association model, a target primary synchronization signal PSS value corresponding to the cell, where a modulo three interference frequency caused by the cell at the corresponding target PSS value is smaller than a modulo three interference frequency caused by other PSS values;

a third determining module 440, configured to determine a target secondary synchronization signal SSS value of the cell based on the engineering parameter and a preset multiplexing distance;

an optimizing module 450, configured to allocate the PCI for the cell based on the target PSS value and the target SSS value of the cell.

In one embodiment, the second determining module 430 includes:

a model establishing submodule, configured to establish an interference evaluation matrix model corresponding to the target network system based on the association model, where the interference evaluation matrix model is used to describe a total frequency of modulo three interference caused by a cell in the target network system, a currently allocated PSS value, a frequency of modulo three interference caused by the currently allocated PSS value, and a frequency of modulo three interference caused by different available PSS values;

a PSS optimizing subunit, configured to, based on the interference evaluation matrix model, sequentially perform the following PSS optimizing operations on the cells in the target network system until the cells in the target network system all satisfy a preset optimizing condition:

if the cell does not meet the preset optimization condition, determining a target PSS corresponding to the cell based on an available PSS value corresponding to the minimum value of the three-mode interference frequencies caused by different available PSS values of the cell, wherein the preset optimization condition comprises that the three-mode interference frequency caused by the currently allocated PSS value of the cell is equal to the minimum value;

updating the interference assessment matrix model based on the target PSS value of the cell.

In one embodiment, the model building submodule is specifically configured to:

determining a modulo three interference total frequency caused by a cell in the target network system based on the correlation model;

ranking the cells in the target network system based on the total frequency of the caused modulo three interference;

determining a current distributed PSS value corresponding to a cell in the target network system, a mode three interference frequency caused by the current distributed PSS value and a mode three interference frequency caused by different available PSS values based on a sequencing result;

and establishing an interference evaluation matrix model corresponding to the target network system based on the sequencing result, the current distributed PSS value corresponding to the cell in the target network system, the three-mode interference frequency caused by the current distributed PSS value and the three-mode interference frequency caused by different available PSS values.

In one embodiment, the different available PSS values comprise a natural number less than or equal to 3.

In one embodiment, the third determining module 440 includes:

a used SSS determining sub-module, configured to determine, based on the engineering parameter, a used SSS value set corresponding to a preset multiplexing distance for a first cell, where the used SSS value set includes a target SSS value corresponding to a second cell, the first cell is a cell to be optimized in the target network system, and the second cell is an intra-frequency cell whose distance from the first cell is smaller than the multiplexing distance and which is optimized;

an unused SSS determination submodule configured to determine an unused SSS value set corresponding to the multiplexing distance for the first cell based on an available SSS value set corresponding to the target network system and the used SSS value set;

a target SSS determining sub-module, configured to determine a target SSS value corresponding to the first cell from the unused SSS value set if the unused SSS value set is a non-empty set.

In one embodiment, the apparatus 400 further comprises:

and updating the multiplexing distance based on a preset step size if the unused SSS value set is an empty set, and repeatedly performing the steps from determining the used SSS value set corresponding to the first cell in the preset multiplexing distance to determining the unused SSS value set corresponding to the first cell in the multiplexing distance until the obtained unused SSS value set is a non-empty set.

In one embodiment, the first determining module 420 comprises:

the same-frequency cell determining submodule is used for determining the same-frequency cell overlapped with the cell based on the engineering parameters;

the interference influence determining submodule is used for determining the number of sampling points of the overlapped and covered same-frequency cells and the influence degree of the same-frequency interference on the cells based on the MR data of the overlapped and covered same-frequency cells;

the interference frequency determining submodule is used for determining the frequency of the cell interfered by the same-frequency cell based on the sampling point number and the influence degree of the same-frequency interference;

and the association model establishing submodule is used for establishing the association model based on the cell, the co-frequency cell of the cell and the frequency of the cell interfered by the co-frequency cell.

In short, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Claims

1. A Physical Cell Identity (PCI) allocation method is characterized by comprising the following steps:

2. The method of claim 1, wherein determining the target primary synchronization signal PSS value corresponding to the cell based on a preset loop iteration algorithm and the correlation model comprises:

establishing an interference evaluation matrix model corresponding to the target network system based on the correlation model, wherein the interference evaluation matrix model is used for describing a total frequency of three-mode interference caused by cells in the target network system, a current distributed power system (PSS) value, a three-mode interference frequency caused by the current distributed PSS value and three-mode interference frequencies caused by different available PSS values;

based on the interference evaluation matrix model, sequentially performing the following PSS optimization operations on the cells in the target network system until the cells in the target network system all meet preset optimization conditions:

3. The method of claim 2, wherein the establishing an interference assessment matrix model corresponding to the target network system based on the association model comprises:

and establishing an interference evaluation matrix model corresponding to the target network system based on the sequencing result, the current distributed PSS value corresponding to the cell in the target network system, the mode three interference frequency caused by the current distributed PSS value and the mode three interference frequency caused by different available PSS values.

4. The method of claim 2, wherein the different available PSS values comprise a natural number less than or equal to 3.

5. The method of claim 1, wherein determining the target Secondary Synchronization Signal (SSS) value of the cell based on the engineering parameter and a preset multiplexing distance comprises:

determining a used SSS value set corresponding to a preset multiplexing distance of a first cell based on the engineering parameters, wherein the used SSS value set comprises a target SSS value corresponding to a second cell, the first cell is a cell to be optimized in the target network system, and the second cell is an optimized co-frequency cell of which the distance to the first cell is smaller than the multiplexing distance;

determining an unused SSS value set corresponding to the multiplexing distance of the first cell based on an available SSS value set corresponding to the target network system and the used SSS value set;

and if the unused SSS value set is a non-empty set, determining a target SSS value corresponding to the first cell from the unused SSS value set.

6. The method of claim 5, further comprising:

and if the unused SSS value set is an empty set, updating the multiplexing distance based on a preset step size, and repeatedly executing the steps from determining the used SSS value set corresponding to the first cell in the preset multiplexing distance to determining the unused SSS value set corresponding to the first cell in the multiplexing distance until the obtained unused SSS value set is a non-empty set.

7. The method according to claim 1, wherein determining a correlation model of the target network system based on the MR data and the engineering parameters comprises:

determining the co-frequency cells overlapped with the cells based on the engineering parameters;

based on the MR data of the overlapped co-frequency cells, determining the number of sampling points of the overlapped co-frequency cells and the degree of co-frequency interference influence on the cells;

determining the frequency of the cell interfered by the same-frequency cell based on the number of the sampling points and the influence degree of the same-frequency interference;

and establishing the association model based on the cell, the co-frequency cell of the cell and the frequency of the cell interfered by the co-frequency cell.

8. A physical cell identity, PCI, allocation apparatus, comprising:

and the optimizing module is used for distributing the PCI for the cell based on the target PSS value and the target SSS value of the cell.

9. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 7.

10. A computer-readable storage medium in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the method of any of claims 1-7.