CN114363922A - TAC boundary optimization method and device - Google Patents
TAC boundary optimization method and device Download PDFInfo
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- CN114363922A CN114363922A CN202011095994.1A CN202011095994A CN114363922A CN 114363922 A CN114363922 A CN 114363922A CN 202011095994 A CN202011095994 A CN 202011095994A CN 114363922 A CN114363922 A CN 114363922A
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Abstract
The embodiment of the invention provides a method and a device for optimizing a TAC boundary, which comprise the following steps: acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell; distributing TAC to all top cells for multiple times; calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than the preset ratio as different TAC strong interference cells; and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells to realize accurate optimization of the TAC boundary.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a method and a device for optimizing a TAC boundary.
Background
TAC (Tracking Area Code) is an Area set for paging in a mobile communication system, and its planning is directly related to the performance of the network. When the planning is too large, the position updating is less, the signaling load of a network DCCH (Dedicated Control Channel) is less, but the Paging Channel load is large, so that the Paging message is discarded, the call completing rate is low and the like; when the planning is over, the Paging channel load is small, the call completing rate is high, but the positions are updated more, the cross-boundary Paging failure rate is high, and the signaling load of a network DCCH is large.
In an LTE (Long Term Evolution) communication System, TAC is mainly used to inherit the LAC (Location Area Code) of GSM (Global System for Mobile Communications). The division of LAC mainly considers the following points: 1. LAC cannot cross msc (mobile Swicth center); 2. the LAC preferably does not need to cross BSC (Base Station controller); 3. the LAC boundaries cannot be parallel to railways, high speeds, national roads and busy streets, and are as perpendicular or skew as possible; 4. the number of users and the telephone traffic under the LAC are limited, and are not suitable to be too large.
The existing TAC region optimization analysis is mainly performed by combining TAC-level data with cell-level data, and based on data extracted by an Operation and Maintenance Center (OMC), analyzing and evaluating TAC from several aspects of size rationality (paging total amount, paging message overflow, signaling load, and the like), paging success rate, boundary rationality (geographical layer and Key Performance Indicator (KPI) data), and parameter setting (boundary reselection bias and channel configuration) of a boundary cell.
The existing TAC area boundary optimization method mainly avoids a traffic concentrated area as much as possible according to the TAC area boundary to filter out whether a base station is located at the TAC edge and at a high traffic area. However, the high traffic at the TAC edge cannot fully reflect the mobility of the user, so that the TAC is optimized according to the high traffic area at the TAC edge with strong subjectivity, thereby causing inaccurate optimization of the TAC boundary.
Disclosure of Invention
The embodiment of the invention provides a method and a device for optimizing a TAC boundary, which are used for solving the defect of inaccurate TAC boundary optimization in the prior art and realizing accurate optimization of the TAC boundary.
The embodiment of the invention provides a TAC (TAC) boundary optimization method, which is characterized by comprising the following steps:
acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell;
distributing TAC to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells;
and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
The method for optimizing the TAC boundary according to one embodiment of the invention is characterized in that the step of distributing the TAC for all the top cells for multiple times comprises the following steps:
and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
The TAC boundary optimization method according to an embodiment of the present invention is characterized in that the step of calculating the interference coefficient to the cell belonging to other TACs and the interference coefficient to each top cell by the cell belonging to other TACs when each top cell belongs to each allocated TAC includes:
when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs;
calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
The method for optimizing the TAC boundary according to the embodiment of the invention is characterized in that the step of selecting the optimal allocation from the TACs which are allocated to all the top cells for multiple times according to the number of the different TAC strong interference cells comprises the following steps:
calculating the sum of the number of different TAC strong interference cells when all the top cells in the adjacent TACs belong to each distributed TAC;
and taking the TAC allocation of the top cell corresponding to the minimum value in the sum of the number of the different TAC strong interference cells as the optimal allocation.
The TAC boundary optimization method according to an embodiment of the present invention is characterized in that the step of allocating, as an optimal allocation, the TAC of the top cell corresponding to the minimum value among the sums of the numbers of the cells with strong interference from different TACs includes:
calculating the sum of the number of different TAC strong interference cells of each top cell before distributing the TAC for all the top cells;
subtracting the sum of the numbers of the different TAC strong interference cells in each distribution from the sum of the numbers of the different TAC strong interference cells before the TAC is distributed, and taking the difference value as the improvement amount of the different TAC strong interference cells;
and taking the TAC allocation of the top cell corresponding to the maximum value in the improvement quantity of the different TAC strong interference cells in each allocation as the optimal allocation.
The embodiment of the present invention further provides a TAC boundary optimizing apparatus, including:
the selection module is used for acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all the cells as a top cell;
the distribution module is used for distributing TAC for all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
the calculating module is used for calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when the cells belong to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells;
and the optimization module is used for counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting the optimal allocation from the TACs allocated to all the top cells for multiple times according to the number of the different TAC strong interference cells.
The TAC boundary optimizing apparatus according to an embodiment of the present invention is characterized in that the allocating module is specifically configured to:
and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
The TAC boundary optimizing apparatus according to an embodiment of the present invention is characterized in that the calculating module is specifically configured to:
when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs;
calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and is characterized in that when the processor executes the program, the TAC boundary optimization method according to any one of the above-mentioned steps is implemented.
An embodiment of the present invention further provides a non-transitory computer readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the steps of the TAC boundary optimization method as described in any one of the above.
According to the method and the device for optimizing the TAC boundary, cells with the measurement frequency ratio larger than the preset threshold value in the pilot frequency measurement are screened out to serve as the top cells, the TACs are distributed to all the top cells for multiple times, the number of the different TAC strong interference cells when each top cell belongs to the TACs distributed each time is calculated according to the interference coefficient, and therefore the optimal distribution of the top cells is determined automatically, the distribution scheme is more reasonable, and the optimization of the TAC boundary is more accurate.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a TAC boundary optimization method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of the measurement frequency ratio distribution of cells in inter-frequency measurement in a TAC boundary optimization method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a plurality of TAC boundaries in a TAC boundary optimization method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a TAC boundary optimizing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.
The TAC boundary optimization method according to the embodiment of the present invention is described below with reference to fig. 1, and includes: s101, acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell;
the wireless network may be an LTE (Long Term Evolution) wireless network. MR (Measurement Report) is one of the main bases for evaluating the quality of a wireless environment. By analyzing the pilot frequency measurement data of the MR, the measurement frequency ratio of each cell in pilot frequency measurement can be calculated, and if the measurement frequency ratio is greater than a preset threshold, the cell is considered to be a cell with a network problem and is used as a top cell (problem cell). The pilot frequency measurement ratio may be a ratio of the number of times the primary cell switches to the neighboring cell to the total number of times the primary cell switches. For example, the preset cell handover duty threshold is 10%, where a cell a is a primary cell, the total number of times of handover of the primary cell a to a neighboring cell B within a period of time is 100 times, and the number of times of handover of the primary cell a to the neighboring cell B is 50 times, and then the handover duty of handover of the primary cell a to the neighboring cell B is 50%; the switching occupation ratio of the main cell A to the adjacent cell B is larger than a preset switching occupation ratio threshold value, the switching between the adjacent cell B and the main cell A is too frequent, the wireless network communication quality is poor, and the adjacent cell B can be used as a top cell.
After the measurement frequency ratio in the inter-frequency measurement of each cell is obtained, a rendering tool and a layer analysis method can be adopted to analyze the distribution condition of the measurement frequency ratio of each cell in the whole wireless communication network. Fig. 2 is a structural diagram of the distribution of the measurement times of each cell, wherein the darker the color represents the larger the measurement time. It can be found through analysis that the measurement frequency of each cell is substantially normal in the whole wireless communication network, and it is shown that the measurement frequency of the central Area of each TAC (Tracking Area Code) is small, and the measurement frequency of the boundary Area is large, as shown in the areas a and B in fig. 2. As can be seen from fig. 2, the top cells are generally distributed in the boundary area where multiple TACs are handed over, and the more top cells in the boundary area, the more fuzzy the boundary; conversely, the fewer the border top cells, the clearer the border. The TAC margin planning misappropriation causes a number of network problems.
S102, distributing TAC for all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
specifically, by allocating reasonable TAC to the selected top cell, the network problem caused by unreasonable TAC boundary planning in the wireless network can be effectively alleviated. To ensure that the top cells are allocated reasonable TACs, all top cells may be allocated TACs multiple times. Wherein multiple top cells can configure the same TAC and each top cell can only belong to one TAC. That is, in any allocation, only one TAC can be allocated to any top cell, and the TACs allocated to a plurality of top cells may be the same or different. In the distribution process, in order to avoid repeated distribution and reduce the calculation amount, at least one TAC distributed by the top cell is different between the TACs distributed to all the top cells at any two times.
S103, calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells;
the interference coefficient is the mutual interference degree between the cells, and the larger the interference coefficient value is, the more closely the relationship between the two cells is, the larger the interference is. In a mobile communication network, each main cell has an interference effect with adjacent cells, and each main cell has a plurality of adjacent cells. The antenna has directivity, and the interference of the main cell to the adjacent cell is generally not equal to the interference coefficient of the adjacent cell to the main cell. When calculating the interference coefficient between each main cell and the neighboring cell, not only the interference degree of the neighboring cell to the main cell but also the interference degree of the main cell to the neighboring cell need to be considered.
The reference signal received power of each main cell and the reference signal received power of the adjacent cell can be obtained through the MR measurement report, and the interference coefficient between the main cell and the adjacent cell can be obtained by calculating the ratio of the reference signal received power of the main cell to the reference signal received power of a certain adjacent cell. The calculation formula of the interference coefficient between the main cell and a certain adjacent cell is as follows:
wherein, P is an interference coefficient between the main cell and a certain neighboring cell, m is a number of sampling points of the neighboring cell obtained by subtracting a reference signal received power of the certain neighboring cell from a reference signal received power of the main cell, which is less than a first preset threshold, and n is a number of sampling points of all neighboring cells, wherein the number of sampling points of the neighboring cell can be obtained through an MR measurement report. For example, the first preset threshold is 12 dB.
When calculating the interference coefficient between each TAC assigned to each top cell and the cell belonging to other TACs, the top cell may be used as a main cell, and the cell belonging to other TACs may be used as a neighboring cell. And calculating the interference coefficient of each top cell and each adjacent cell corresponding to the top cell. And if the interference coefficient of the top cell and a corresponding adjacent cell is greater than a preset ratio, considering that the adjacent cell has a large influence on the top cell, and taking the adjacent cell as a different TAC strong interference cell of the top cell.
S104, counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
Specifically, after determining the different TAC strong interference cells when each top cell belongs to the TAC allocated each time, counting the number of all the different TAC strong interference cells, and determining an optimal allocation scheme by comparing the number of the different TAC strong interference cells of all the top cells in each allocation scheme.
According to the method, the cells with the measurement frequency ratio larger than the preset threshold value in the pilot frequency measurement are screened out to serve as the top cells, the TACs are distributed for all the top cells for many times, the number of the different TAC strong interference cells when each top cell belongs to the TACs distributed at each time is calculated according to the interference coefficient, and therefore the optimal distribution of the top cells is automatically determined, the distribution scheme is more reasonable, and optimization of TAC boundaries is more accurate.
On the basis of the above embodiment, the step of allocating the TAC to all the top cells for multiple times in this embodiment includes: and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
Specifically, a plurality of TAC regions adjacent to each other may be determined according to the boundary of each TAC in the wireless network. If a plurality of adjacent TAC areas have a top cell, any TAC of the plurality of adjacent TACs may be allocated to any top cell. At least one TAC area of the adjacent TAC areas has a top cell. For example, three TACs TAC _ X, TAC _ Y and TAC _ Z in a wireless network are adjacent, and there is a top cell a in the TAC _ X region, so when allocating TAC to the top cell a, there are three allocation methods, and TAC _ X, TAC _ Y or TAC _ Z may be allocated to the top cell a.
On the basis of the foregoing embodiment, in this embodiment, when each top cell belongs to each allocated TAC, the step of calculating the interference coefficient to the cell belonging to another TAC and the interference coefficient to each top cell by the cell belonging to another TAC includes: when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs; calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
Specifically, after allocating a TAC to each of a plurality of adjacent TAC areas each time, acquiring other TACs of the top cell other than the TAC allocated this time. And then determining other cells of the TACs within a preset range by taking the top cell as a center, wherein the cells of the other TACs may or may not include the top cell. And taking the cells of other TACs as the adjacent cells of the top cell, and calculating the interference coefficient of the adjacent cells to the top cell and the interference coefficient of the top cell to the adjacent cells. As shown in fig. 3, the plurality of top cells are respectively a top cell A, top B and a top cell C, and are located at a boundary between TAC _ X, TAC _ Y and TAC _ Z, if TAC _ Y is allocated to the top cell a, cells of TAC _ X and TAC _ Z within a preset range with the top cell a as a center are taken as neighboring cells, and then interference coefficients of the neighboring cells and the top cell are calculated, including an interference coefficient of the neighboring cells to the top cell a and an interference coefficient of the top cell a to the neighboring cells.
On the basis of the foregoing embodiment, in this embodiment, the step of selecting an optimal allocation from among TACs that are allocated to all top cells for multiple times according to the number of the inter-TAC strong interference cells includes: calculating the sum of the number of different TAC strong interference cells when all the top cells in the adjacent TACs belong to each distributed TAC; and taking the TAC allocation of the top cell corresponding to the minimum value in the sum of the number of the different TAC strong interference cells as the optimal allocation.
Specifically, after the interference coefficient between each top cell and each neighboring cell is obtained, whether the neighboring cell is a cell with strong interference from the other TAC can be determined by comparing the interference coefficient with a preset ratio. The number of the different TAC strong interference cells when each top cell belongs to the TAC allocated each time can be obtained through statistics, and the number of the different TAC strong interference cells when all the top cells belong to the TAC allocated each time is added. The smaller the sum of the number of the different TAC strong interference cells is, the more reasonable the TAC allocated to the top cell is, the interference between the different TAC cells can be reduced, and the communication quality of the wireless network is improved. Therefore, the sum of the number of the cells with the strong interference of the different TACs in all the allocation schemes is compared, and the optimal allocation scheme is determined to be the minimum sum of the number of the cells with the strong interference of the different TACs.
In this embodiment, an optimal allocation scheme of the top cell is determined by considering the interference degree between the cells, and the TAC is allocated to the top cell by taking the actual condition of the terminal, so that the optimization of the TAC boundary is more accurate. In addition, the TAC of the LTE network is inherited to the LAC of 2G, so the TAC boundary optimization is also applicable to the LAC of 2G.
As shown in fig. 3, there are 3 top cells and 3 adjacent TACs, and each top cell may be allocated with any one of the 3 adjacent TACs, so there are 3 × 3 — 27 TAC allocation schemes. If the scheme 1 is to allocate TAC _ X to the top cell A, top cell B and the top cell C, the number of TAC strong interference cells of the top cell a is Xa, Ya and Za, and the number of different TAC strong interference cells is Ya + Za; the number of each TAC strong interference cell of the top cell B is Xb, Yb and Zb, and the number of the different TAC strong interference cells is Yb + Zb; the number of each TAC strong interference cell of the top cell C is Xc, Yc and Zc, and the number of the different TAC strong interference cells is Yc + Zc; the sum of the number of the heterotac strong interference cells of all the top cells is (Ya + Za) + (Yb + Zb) + (Yc + Zc). The other 26 schemes also adopt the calculation mode, then the number of the different TAC strong interference cells of all the top cells in the 27 schemes is compared, and the distribution scheme with the minimum number is taken as the optimal distribution scheme.
On the basis of the foregoing embodiment, in this embodiment, the step of using the TAC allocation of the top cell corresponding to the minimum value of the sum of the numbers of the inter-TAC strong interference cells as the optimal allocation includes: calculating the sum of the number of different TAC strong interference cells of each top cell before distributing the TAC for all the top cells; subtracting the sum of the numbers of the different TAC strong interference cells in each distribution from the sum of the numbers of the different TAC strong interference cells before the TAC is distributed, and taking the difference value as the improvement amount of the different TAC strong interference cells; and taking the TAC allocation of the top cell corresponding to the maximum value in the improvement quantity of the different TAC strong interference cells in each allocation as the optimal allocation.
For example, before allocating TAC, the numbers of different TAC strong interference cells of a top cell A, top cell B and a top cell C site are i, j, k, respectively, and then the sum of the numbers of different TAC strong interference cells of all top cells before allocating is i + j + k; TAC is distributed to each top cell according to the scheme 1, the sum of the number of different TAC strong interference cells of all the top cells after distribution is (Ya + Za) + (Yb + Zb) + (Yc + Zc), and the improvement quantity of the different TAC strong interference cells after TAC is distributed to the top cells is delta (i + j + k) - (Ya + Za) - (Yb + Zb) - (Yc + Zc). And traversing all the distribution schemes, comparing the improvement quantity of the different TAC strong interference cells after the TAC is distributed to the top cell in all the schemes, and selecting the cell with the maximum improvement quantity as the optimal distribution scheme. The larger the delta is, the larger the improvement amount of the different TAC strong interference cells is, and the smaller the number of the different TAC strong interference cells is.
According to the boundary optimization method of the embodiment, according to the improvement amount of the different TAC strong interference cell, an optimal TAC allocation scheme is selected for the top cell which is located at the TAC boundary and has strong interference with the adjacent TAC, so that the network problem caused by unreasonable TAC boundary in the wireless network can be effectively relieved, and the number of times of different TAU (Tracking Area update) in the wireless network is reduced.
The TAC boundary optimizing apparatus provided in the embodiment of the present invention is described below, and the TAC boundary optimizing apparatus described below and the TAC boundary optimizing method described above may be referred to correspondingly.
As shown in fig. 4, the TAC boundary optimizing apparatus provided in this embodiment includes a selecting module 401, an allocating module 402, a calculating module 403, and an optimizing module 404; wherein:
a selecting module 401, configured to obtain a measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and select a cell with the measurement frequency ratio greater than a preset threshold from all cells as a top cell;
wherein the wireless network may be an LTE wireless network. MR (Measurement Report) is one of the main bases for evaluating the quality of a wireless environment. By analyzing the pilot frequency measurement data of the MR, the measurement frequency ratio of each cell in pilot frequency measurement can be calculated, and if the measurement frequency ratio is greater than a preset threshold, the cell is considered to be a cell with a network problem and is used as a top cell (problem cell). The pilot frequency measurement ratio may be a ratio of the number of times the primary cell switches to the neighboring cell to the total number of times the primary cell switches.
An allocating module 402, configured to allocate TACs to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
specifically, by allocating reasonable TAC to the selected top cell, the network problem caused by unreasonable TAC boundary planning in the wireless network can be effectively alleviated. To ensure that the top cells are allocated reasonable TACs, all top cells may be allocated TACs multiple times. Wherein multiple top cells can configure the same TA and each top cell can only belong to one TA. That is, in any allocation, only one TAC can be allocated to any top cell, and the TACs allocated to a plurality of top cells may be the same or different. In the distribution process, in order to avoid repeated distribution and reduce the calculation amount, at least one TAC distributed by the top cell is different between the TACs distributed to all the top cells at any two times.
A calculating module 403, configured to calculate an interference coefficient to a cell belonging to another TAC when each top cell belongs to each allocated TAC, and an interference coefficient to each top cell by the cell belonging to another TAC, and use a cell belonging to another TAC, which corresponds to the preset interference coefficient greater than a preset ratio, as a cell with strong interference from a different TAC;
the interference coefficient is the mutual interference degree between the cells, and the larger the interference coefficient value is, the more closely the relationship between the two cells is, the larger the interference is. In a mobile communication network, each main cell has an interference effect with adjacent cells, and each main cell has a plurality of adjacent cells. The antenna has directivity, and the interference of the main cell to the adjacent cell is generally not equal to the interference coefficient of the adjacent cell to the main cell. When calculating the interference coefficient between each main cell and the neighboring cell, not only the interference degree of the neighboring cell to the main cell but also the interference degree of the main cell to the neighboring cell need to be considered.
The reference signal received power of each main cell and the reference signal received power of the adjacent cell can be obtained through the MR measurement report, and the interference coefficient between the main cell and the adjacent cell can be obtained by calculating the ratio of the reference signal received power of the main cell to the reference signal received power of a certain adjacent cell. The calculation formula of the interference coefficient between the main cell and a certain adjacent cell is as follows:
wherein, P is an interference coefficient between the main cell and a certain neighboring cell, m is a number of sampling points of the neighboring cell obtained by subtracting a reference signal received power of the certain neighboring cell from a reference signal received power of the main cell, which is less than a first preset threshold, and n is a number of sampling points of all neighboring cells, wherein the number of sampling points of the neighboring cell can be obtained through an MR measurement report.
When calculating the interference coefficient between each TAC assigned to each top cell and the cell belonging to other TACs, the top cell may be used as a main cell, and the cell belonging to other TACs may be used as a neighboring cell. And calculating the interference coefficient of each top cell and each adjacent cell corresponding to the top cell. And if the interference coefficient of the top cell and a corresponding adjacent cell is greater than a preset ratio, considering that the adjacent cell has a large influence on the top cell, and taking the adjacent cell as a different TAC strong interference cell of the top cell.
And an optimizing module 404, configured to count the number of cells with strong interference from different TACs when each top cell belongs to the TAC allocated each time, and select an optimal allocation from among TACs allocated to all top cells for multiple times according to the number of cells with strong interference from different TACs.
Specifically, after determining the different TAC strong interference cells when each top cell belongs to the TAC allocated each time, counting the number of all the different TAC strong interference cells, and determining an optimal allocation scheme by comparing the number of the different TAC strong interference cells of all the top cells in each allocation scheme.
According to the method, the cells with the measurement frequency ratio larger than the preset threshold value in the pilot frequency measurement are screened out to serve as the top cells, the TACs are distributed for all the top cells for many times, the number of the different TAC strong interference cells when each top cell belongs to the TACs distributed at each time is calculated according to the interference coefficient, and therefore the optimal distribution of the top cells is automatically determined, the distribution scheme is more reasonable, and optimization of TAC boundaries is more accurate.
On the basis of the foregoing embodiment, the allocation module in this embodiment is specifically configured to: and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
On the basis of the foregoing embodiment, the calculating module in this embodiment is specifically configured to: when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs; calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
On the basis of the foregoing embodiment, the optimization module in this embodiment is specifically configured to: calculating the sum of the number of different TAC strong interference cells when all the top cells in the adjacent TACs belong to each distributed TAC;
and taking the TAC allocation of the top cell corresponding to the minimum value in the sum of the number of the different TAC strong interference cells as the optimal allocation.
On the basis of the above embodiment, the optimization module in this embodiment further functions to: calculating the sum of the number of different TAC strong interference cells of each top cell before distributing the TAC for all the top cells; subtracting the sum of the numbers of the different TAC strong interference cells in each distribution from the sum of the numbers of the different TAC strong interference cells before the TAC is distributed, and taking the difference value as the improvement amount of the different TAC strong interference cells; and taking the TAC allocation of the top cell corresponding to the maximum value in the improvement quantity of the different TAC strong interference cells in each allocation as the optimal allocation.
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)501, a communication Interface (Communications Interface)502, a memory (memory)503, and a communication bus 504, wherein the processor 501, the communication Interface 502, and the memory 503 are configured to communicate with each other via the communication bus 504. The processor 501 may call logic instructions in the memory 503 to perform a TAC boundary optimization method, the method comprising: acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell; distributing TAC to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times; calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells; and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
In addition, the logic instructions in the memory 503 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the TAC boundary optimization method provided by the above-mentioned method embodiments, where the method includes: acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell; distributing TAC to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times; calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells; and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
In yet another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the TAC boundary optimization method provided in the foregoing embodiments, and the method includes: acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell; distributing TAC to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times; calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells; and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A TAC boundary optimization method is characterized by comprising the following steps:
acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all cells as a top cell;
distributing TAC to all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when each top cell belongs to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells;
and counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting optimal allocation from the TACs allocated to all top cells for multiple times according to the number of the different TAC strong interference cells.
2. The TAC boundary optimization method of claim 1, wherein the step of allocating the TACs to all top cells for multiple times comprises:
and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
3. The TAC boundary optimization method according to claim 2, wherein the step of calculating the interference coefficient to the cell belonging to other TACs and the interference coefficient to each top cell by the cell belonging to other TACs when each top cell belongs to each allocated TAC includes:
when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs;
calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
4. The TAC boundary optimization method of claim 2, wherein the step of selecting an optimal allocation from the TACs allocated to all the top cells for multiple times according to the number of the different TAC strong interference cells comprises:
calculating the sum of the number of different TAC strong interference cells when all the top cells in the adjacent TACs belong to each distributed TAC;
and taking the TAC allocation of the top cell corresponding to the minimum value in the sum of the number of the different TAC strong interference cells as the optimal allocation.
5. The TAC boundary optimization method of claim 4, wherein the step of using the TAC allocation of the top cell corresponding to the minimum value of the sum of the numbers of the different TAC strong interference cells as the optimal allocation comprises:
calculating the sum of the number of different TAC strong interference cells of each top cell before distributing the TAC for all the top cells;
subtracting the sum of the numbers of the different TAC strong interference cells in each distribution from the sum of the numbers of the different TAC strong interference cells before the TAC is distributed, and taking the difference value as the improvement amount of the different TAC strong interference cells;
and taking the TAC allocation of the top cell corresponding to the maximum value in the improvement quantity of the different TAC strong interference cells in each allocation as the optimal allocation.
6. A TAC boundary optimizing apparatus, comprising:
the selection module is used for acquiring the measurement frequency ratio of each cell in pilot frequency measurement according to pilot frequency measurement data of an MR in a wireless network, and selecting a cell with the measurement frequency ratio larger than a preset threshold value from all the cells as a top cell;
the distribution module is used for distributing TAC for all top cells for multiple times; at least one TAC allocated to the top cell is different between the TACs allocated to all the top cells at any two times;
the calculating module is used for calculating the interference coefficient of each top cell to the cells belonging to other TACs and the interference coefficient of the cells belonging to other TACs to each top cell when the cells belong to each distributed TAC, and taking the cells belonging to other TACs corresponding to the preset interference coefficient larger than a preset ratio as different TAC strong interference cells;
and the optimization module is used for counting the number of different TAC strong interference cells when each top cell belongs to the TAC allocated each time, and selecting the optimal allocation from the TACs allocated to all the top cells for multiple times according to the number of the different TAC strong interference cells.
7. The TAC boundary optimization device of claim 6, wherein the allocation module is specifically configured to:
and for any top cell in the plurality of adjacent TACs in the wireless network, allocating any TAC in the plurality of adjacent TACs for the top cell.
8. The TAC boundary optimization device of claim 7, wherein the calculation module is specifically configured to:
when the top cell belongs to any allocated TAC, acquiring other TACs except the TAC allocated by the top cell in the adjacent TACs;
calculating the interference coefficient of the top cell to the cell belonging to the other TAC and the interference coefficient of the cell belonging to the other TAC to the top cell; wherein the cell attributed to the other TAC is within a preset range centered on the top cell.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the TAC boundary optimization method according to any one of claims 1 to 5.
10. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when being executed by a processor, is adapted to carry out the steps of the TAC boundary optimization method according to any one of claims 1 to 5.
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