CN103428861B - The method and device that a kind of estate performance index reassigns - Google Patents

The method and device that a kind of estate performance index reassigns Download PDF

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CN103428861B
CN103428861B CN201210157722.9A CN201210157722A CN103428861B CN 103428861 B CN103428861 B CN 103428861B CN 201210157722 A CN201210157722 A CN 201210157722A CN 103428861 B CN103428861 B CN 103428861B
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cell
grid
original network
performance index
grids
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CN103428861A (en
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邓彦
王灿
项锐
王明敏
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Huawei Technologies Service Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
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Abstract

The invention discloses the method and device that a kind of estate performance index reassigns, relate to the communications field, it is possible to realize the merging of the estate performance index to primitive network, and estate performance index can be reassigned to each Target cell.A kind of method that estate performance index reassigns, including: Yuan Wang community is carried out rasterizing process, obtains each estate performance index in each grid scope；By grid, each estate performance index described is overlapped, obtains estate performance index after the superposition of each grid；Target cell is carried out rasterizing process, thus draws the grid that each Target cell covers；According to presetting load sharing ratio, the grid that estate performance Distribution Indexes after described superposition is covered to described each Target cell.Present invention is mainly used for assessing the estate performance index of objective network.

Description

Method and device for reallocating cell performance indexes
Technical Field
The present invention relates to the field of communications, and in particular, to a method and an apparatus for reallocating cell performance indicators.
Background
With the development of wireless communication services, the requirements of operation integration of different operators and different frequency bands are more and more urgent, and the operation integration needs to estimate the cell performance index of a target network so as to ensure the performance of the redistributed network. Common cell performance indexes include telephone traffic, the number of users, the number of signaling establishment times and the like. Since the original network site is different from the integrated target network site, the distribution of the cell performance indexes is also changed, and the prior art is difficult to estimate the cell performance indexes of the target network, so that the functions of merging the cell performance indexes of the original network and reallocating the cell performance indexes to the target cells cannot be realized.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for reallocating cell performance indicators, which can implement merging of cell performance indicators of an original network and reallocate the cell performance indicators to target cells.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a method for reallocating cell performance indicators, comprising:
rasterizing the original network cell to obtain each cell performance index in each grid range;
superposing the performance indexes of the cells according to grids to obtain the superposed cell performance indexes of each grid;
performing rasterization processing on the target cells to obtain grids covered by each target cell;
and distributing the superposed cell performance indexes to grids covered by each target cell according to a preset load sharing proportion.
An apparatus for re-assigning cell performance indicators, comprising:
the first rasterization processing unit is used for rasterization processing on the original network cell to obtain each cell performance index in each grid range;
the superposition unit is used for superposing the performance indexes of the cells according to the grids to obtain the superposed cell performance indexes of each grid;
the second rasterization processing unit is used for performing rasterization processing on the target cells so as to obtain grids covered by each target cell;
and the cell performance index summarizing unit is used for distributing the superposed cell performance indexes to grids covered by each target cell according to a preset load sharing proportion.
The method and the device for reallocating the cell performance indexes provided by the embodiment of the invention have the advantages that the original network cell is rasterized, the cell performance indexes are superposed according to grids to obtain the superposed cell performance indexes of each grid, then the superposed cell performance indexes are allocated to the grids covered by each target cell, further the total cell performance indexes of each target cell are obtained, the estimation of the cell performance indexes of the target network is realized, and the cell performance indexes can be reallocated to the target cells.
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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for reallocating cell performance indicators according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of superimposing traffic volumes in embodiment 1 of the present invention;
fig. 3 is a flowchart of a method for reallocating cell performance indicators according to embodiment 2 of the present invention;
fig. 4 is a block diagram of an apparatus for reallocating cell performance indicators according to embodiment 3 of the present invention;
fig. 5 is a block diagram of a first rasterization processing unit according to embodiment 3 of the present invention;
fig. 6 is a block diagram of a second rasterization processing unit according to embodiment 3 of the present invention;
fig. 7 is a block diagram of a weight ratio obtaining subunit according to embodiment 3 of the present invention;
fig. 8 is a block diagram of a single grid cell performance indicator obtaining subunit according to embodiment 3 of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the 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 invention.
Example 1:
the embodiment of the invention provides a method for reallocating cell performance indexes, as shown in fig. 1, comprising the following steps:
101. and rasterizing the original network cell to obtain the performance index of each cell in each grid range.
In the embodiment of the invention, the cell performance index comprises at least one of voice telephone traffic, data flow, user number and signaling establishment times.
In the embodiment of the present invention, the rasterization processing method includes the following steps:
(1) and determining the coverage area of a cell of an original network as a grid. The coverage area of an original network cell is used as a grid, and the coverage area of the grid is larger.
(2) And determining the grid by using MR (Measurement Report) information of the original network. The grid is determined by the MR information, and the side length of the grid is typically in the range of 50 meters to 150 meters.
(3) And importing an electronic map on the basis of the original network cell, wherein the electronic map comprises grids and a ground object type (router type) of each grid.
Through the rasterization processing of the original network cells, the grids covered by each original network cell can be obtained. And because the cell performance index of the original network cell can be acquired in advance, the cell performance index in each grid range can be acquired according to the grid covered by the original network cell and the cell performance index of the original network cell.
102. And superposing the performance indexes of the cells according to the grids to obtain the superposed cell performance indexes of each grid.
The performance index of each cell in each grid range specifically includes: cell performance indexes of different frequency bands of different operators, cell performance indexes of different frequency bands of the same operator and cell performance indexes of the same frequency band of different operators. This means that within the scope of a grid, multiple cell performance indicators can exist simultaneously.
For example, as shown in fig. 2, the cell performance indicator is illustrated by selecting traffic. In FIG. 2 there are grids G-1, G-2, G-3. The 900MHZ frequency band cell of the operator A covers G-1 and G-2, and has 12 units of telephone traffic in G-1 and 11 units of telephone traffic in G-2; the 2100MHZ frequency band cell of the operator a covers G-1, the traffic is 10, the 2100MHZ frequency band of the operator B covers G-2 and G-3, and the traffic is 4 and 10, respectively, then after the overlapping of the traffic, the overlapped traffic in G-1 is 10+12=22, the overlapped traffic in G-2 is 11+4=15, and the overlapped traffic in G-3 is 10.
103. And performing rasterization processing on the target cells so as to obtain grids covered by each target cell.
The target cell is a cell of a target network generated after the integration of the operator network. The number of target cells may be smaller than the number of cells of the original network.
104. And distributing the superposed cell performance indexes to grids covered by each target cell according to a preset load sharing proportion, thereby obtaining the cell performance indexes of each target cell.
For example, on the basis of FIG. 2, the superimposed traffic of G-1, G-2 and G-3 has been obtained. And if the G-1 is covered by a target cell of 900MHZ and simultaneously covered by a target cell of 2100MHZ, distributing the superposed traffic of the G-1 to the two target cells according to a preset load sharing proportion. The load sharing ratio can be determined according to the total number of frequency points of the target cell, for example, if the ratio of the number of frequency points of the target cell at 900MHZ to the number of frequency points of the target cell at 2100MHZ is 1:3, 25% of the superposed telephone traffic of G-1 is allocated to the target cell at 900MHZ, and 75% is allocated to the target cell at 2100 MHZ. The target cell thus determines the traffic volume of one grid (G-1) in the coverage area. According to the method, the telephone traffic of each grid in the coverage area of the target cell can be obtained, and finally the total telephone traffic of the target cell can be obtained.
The method for reallocating the cell performance indexes provided by the embodiment of the invention obtains the cell performance indexes of each grid after superposition by rasterizing the cells of the original network and superposing the cell performance indexes according to the grids, and then allocates the cell performance indexes after superposition to the grids covered by each target cell, thereby obtaining the cell performance indexes of each target cell, realizing the estimation of the cell performance indexes of the target network and reallocating the cell performance indexes to the target cells.
Example 2:
an embodiment of the present invention provides a method for reallocating cell performance indicators, as shown in fig. 3, the method includes:
301. and importing an electronic map with grids on the basis of the original network cell.
And importing an electronic map with grids on the basis of the original network cell through a simulation tool. And the ground object type of each grid is defined in the electronic map.
302. After an electronic map is imported on the basis of the original network cells, the number of grids occupied by each ground feature type in each original network cell is obtained; and calculating the weight ratio corresponding to different ground object types.
After the electronic map is imported, the coverage of the original network covered by the electronic map is predicted, so that the number of grids covered by each type of land in each original network cell is obtained. The calculated weight ratio represents the ability of the corresponding feature type to bear the cell performance indicator.
Obtaining the number of grids occupied by each type of ground object in each original network cell and calculating the weight ratio, wherein the two actions can be interchanged in execution sequence, and the embodiment of the invention is not limited.
Specifically, when calculating the weight ratio, first, the formula is followed And calculating the performance indexes of the cells in unit area of the different ground object types.
Wherein EjIs a cell performance index per unit area, T, of the terrain type jcell iFor pre-obtained cell performance index, P, of cell i of the original networki jFor the coverage of cell i of the original networkArea ratio of land object type j, Si jThe area occupied by the ground object type j in the coverage area of the original network cell i. For example, the feature type j is distributed in the cells 1, 2 and 3 of the original network, then
Ej=(Tcell 1×P1 j+Tcell 2×P2 j+Tcell 3×P3 j)/(S1 j+S2 j+S3 j)
As can be seen from the above analysis, i has N values, and in practical application, in order to save the calculation amount, a predetermined ratio threshold, P, can be seti jThe original network cell above the predetermined ratio threshold value, Tcell i、Pi jAnd Si jIs brought into EjIn the formula (2).
Or, a preset quantity value is taken for N in advance, and the quantity value represents the quantity of the original network cells of which the area proportion occupied by the ground object type j is from high to low and is N before ranking.
According to the calculated performance index E of the cells in unit area of the different ground feature typesjObtaining the weight ratio W of the ground object type jj。
Step 302 is described below in conjunction with tables 1-1 and 1-2, respectively.
TABLE 1-1
For the case of Table 1-1, assuming that the predetermined proportion threshold is 50% for surface feature types A, B and C, then one can obtain: the original network cells with the area proportion of the surface feature type A exceeding a preset proportion threshold are C1 and C2, the original network cells with the area proportion of the surface feature type B exceeding the preset proportion threshold are C3 and C4, and the original network cells with the area proportion of the surface feature type C exceeding the preset proportion threshold are C5 and C6.
Substituting into formula E j = Σ i N T cell i × P i j / Σ i N S i j , It is possible to obtain:
EA=(Tcell 1×P1A+Tcell 2×P2 A)/(S1 A+S2 A)
=(15*95%+14*87%)/(0.95+1.3)=11.75
EB=(Tcell 3×P3 B+Tcell 4×P4 B)/(S3 B+S4 B)
=(11*90%+10*85%)/(8.5+9)=1.05
EC=(Tcell 5×P5 C+Tcell 6×P6 C)/(S5 C+S6 C)
=(4*80%+2*75%)/(1.6+2.25)=0.61
WA:WB:WC=EA:EB:EC=11.75:1.05:0.61
tables 1 to 2
Alternatively, N is given a predetermined number value in advance. Referring to tables 1-2, assuming that the preset quantity value taken by N is 2, the original network cells with the area proportion of the feature type a from high to low ranking top two are C1 and C2, the original network cells with the area proportion of the feature type b from high to low ranking top two are C2 and C4, and the original network cells with the area proportion of the feature type C from high to low ranking top two are C3 and C4. Substituting into formula It is possible to obtain:
Ea=(Tcell 1×P1 a+Tcell 2×P2 a)/(S1 a+S2 a)
=(15*95%+1*10%)/(0.95+1.0)=7.36
Eb=(Tcell 2×P2 b+Tcell 4×P4 b)/(S2 b+S4 b)
=(1*85%+4*25%)/(8.5+0.75)=0.2
Ec=(Tcell 3×P3 c+Tcell 4×P4 c)/(S3 c+S4 c)
=(6*80%+4*75%)/(1.6+2.25)=2.03
Wa:Wb:Wc=Ea:Eb:Ec=7.36:0.2:2.03
it should be noted that the predetermined quantity value of 2 is selected according to the conditions of tables 1-2. When the number of cells is sufficiently large, other values may be taken, such as N =5, N =10, and the like.
In practical application, the weight ratio may be normalized. As shown in table 2.
TABLE 2
Referring to table 2, since the weight ratios of different feature types are very different, the same normalized weight ratio can be obtained through the normalization process for the weight ratio of the same order of magnitude. For example, the normalized weight ratio of the high-density deciduous forest vegetation and the high-density coniferous forest vegetation is 0.002. And the normalized weight ratio of the medium-density urban area to the high-density urban area is 10.
303. And obtaining the performance indexes of each cell in each grid range according to the number of grids occupied by each ground object type in each original network cell, the weight ratio and the pre-acquired cell performance indexes of the original network cells.
Specifically, firstly, according to the formula T i s tan dard = T cell i / Σ j ∈ clutters ( W j × N i j ) , Calculating the performance index of the reference grid cell of each original network cell, wherein Ti standardIs a reference grid cell performance index, T, of an original network cell icell iFor pre-obtained cell performance index, N, of cell i of the original networki jThe grid occupied by the ground object type j in the grid covered by the original network cell iNumbers, cluters are species of ground feature type. Then, according to the formula Ti j＝Ti standard×WjObtaining a cell performance indicator for each grid, wherein Ti jThe cell performance index of each grid of the ground object type j in the cell i of the original network is obtained.
304. And superposing the performance indexes of the cells according to the grids to obtain the superposed cell performance indexes of each grid.
The method for obtaining the cell performance index after the superposition of each grid may refer to the description of fig. 2 in embodiment 1 of the present invention, and details thereof are not repeated here.
305. And importing the electronic map on the basis of the grid-connected target cells so as to obtain the grids covered by each target cell.
When the target cell is rasterized, the rasterization process may be performed according to a grid when the original network cell is rasterized, for example, an electronic map introduced into the target cell, and a grid distribution in the electronic map matches a grid distribution in the electronic map introduced into the original network cell. Further, when the target cell is rasterized, the used grid can have a larger area than the grid area rasterized by the original network cell. For example, combining the grids used in rasterizing the original network cell may specifically be to combine two adjacent grids or four adjacent grids to generate a large grid with an area twice or four times that of the original grid. In this way, the total number of grids used in the target cell rasterization process can be reduced.
After the electronic map is imported, the coverage of the target cells covered by the electronic map is predicted, so that the number of grids covered by each target cell is obtained.
The target cell is a cell of a target network generated after the integration of the operator network. The number of target cells is smaller than that of the original network cells.
306. And distributing the superposed cell performance indexes to grids covered by each target cell according to a preset load sharing proportion, thereby obtaining the cell performance indexes of each target cell.
The process of allocating the superimposed cell performance index to the grid covered by each target cell according to the load sharing ratio may refer to the description based on fig. 2 in embodiment 1 of the present invention, and details are not described here again.
The embodiment of the invention provides a method for reallocating cell performance indexes, which comprises the steps of introducing an electronic map on the basis of an original network cell, conducting coverage prediction, rasterizing the original network cell, then obtaining the cell performance indexes of each grid according to a weight ratio, superposing the cell performance indexes in each grid range according to the grids to obtain the superposed cell performance indexes of each grid, and then allocating the superposed cell performance indexes to the grids covered by each target cell to obtain the total cell performance indexes of each target cell, thereby realizing the estimation of the cell performance indexes of a target network and reallocating the cell performance indexes to the target cells.
The cell performance index in the embodiment of the invention comprises at least one of voice telephone traffic, user number, data traffic and signaling establishment times.
Example 3:
an embodiment of the present invention provides a device for reallocating cell performance indicators, as shown in fig. 4, the device includes: a first rasterizing unit 41, an overlaying unit 42, a second rasterizing unit 43, and a cell performance index summarizing unit 44.
The first rasterization processing unit 41 is configured to perform rasterization processing on an original network cell, and obtain each cell performance index in each grid range.
The superimposing unit 42 is configured to superimpose the performance indicators of the cells according to grids, so as to obtain the superimposed performance indicator of each grid.
The second rasterization processing unit 43 is configured to perform rasterization processing on the target cells, so as to obtain a grid covered by each target cell.
The cell performance indicator summarizing unit 44 is configured to allocate the superimposed cell performance indicator to a grid covered by each target cell according to a preset load sharing ratio, so as to obtain a total cell performance indicator of each target cell.
In the embodiment of the invention, the cell performance index comprises at least one of voice telephone traffic, data flow, user number and signaling establishment times.
In the embodiment of the present invention, the rasterization processing method includes the following steps:
(1) and determining the coverage area of a cell of an original network as a grid. The coverage area of an original network cell is used as a grid, and the coverage area of the grid is larger.
(2) And determining the grid by using MR (Measurement Report) information of the original network. The grid, determined by the MR information, typically ranges from 50 meters to 150 meters in side length.
(3) And importing an electronic map on the basis of the original network cell, wherein the electronic map comprises grids and the ground object type of each grid.
Further, as shown in fig. 5, the first rasterization processing unit 41 specifically includes: a grid number obtaining sub-unit 411, a weight ratio obtaining sub-unit 412, and a single grid cell performance index obtaining sub-unit 413.
The grid number obtaining subunit 411 is configured to obtain the number of grids occupied by each type of ground object in each original network cell after the electronic map is imported to the original network cell.
Specifically, after the electronic map is imported, the grid number obtaining subunit 411 performs coverage prediction on the original network covered by the electronic map, so as to obtain the number of grids covered by each type of ground object in each original network cell.
The weight ratio obtaining subunit 412 is configured to obtain weight ratios corresponding to different surface feature types. The weight ratio value reflects the ability of different feature types to bear the cell performance index.
The single grid cell performance index obtaining subunit 413 is configured to obtain each cell performance index in each grid range according to the number of grids occupied by each type of terrain in each original network cell, the weight ratio, and the pre-obtained cell performance index of the original network cell.
Further, as shown in fig. 6, the second rasterization processing unit 43 specifically includes a second rasterization processing subunit 431, configured to import the electronic map on the basis of the grid-connected target cell, so as to obtain a grid covered by each target cell.
Specifically, after the electronic map is imported, the second rasterization processing subunit 431 performs coverage prediction on the target cells covered by the electronic map, so as to obtain the number of grids covered by each target cell.
Further, as shown in fig. 7, the weight ratio obtaining subunit 412 specifically includes: a unit area cell performance index calculation module 4121 and a weight ratio calculation module 4122.
The unit area cell performance index calculation module 4121 is configured to calculate a cell performance index according to a formula And calculating the performance indexes of the cells in unit area of the different ground object types.
Wherein EjIs a cell performance index per unit area, T, of the terrain type jcell iIs a cell performance index, P, of cell i of the original networki jIs the area proportion S occupied by the ground object type j in the coverage area of the original network cell ii jThe area occupied by the ground object type j in the coverage area of the original network cell i.
The weight ratio calculation module 4122 is configured to calculate a performance index E of each of the different feature types in the unit area celljObtaining the weight ratio Wj。
And N is the number of the original network cells of which the area ratio of the ground object type j is higher than a preset ratio threshold value.
Further, as shown in fig. 8, the single-grid cell performance index obtaining subunit 413 specifically includes: a reference grid cell performance index calculation module 4131 and a single grid cell performance index acquisition module 4132.
The reference grid cell performance indicator calculation module 4131 is configured to calculate a reference grid cell performance indicator according to a formulaCalculating the performance index of the reference grid cell of each original network cell, wherein Ti standardIs a reference grid cell performance index, N, of the original network cell ii jThe number of grids occupied by the ground object type j in the grids covered by the original network cell i is determined, and cluters are the types of the ground object types.
A single grid cell performance indicator obtaining module 4132 for obtaining the performance indicator according to the formula Ti j=Ti standard×WjObtaining the performance index of each cell in each grid range, wherein Ti jThe cell performance index of each grid of the ground object type j in the cell i of the original network is obtained.
The embodiment of the invention provides a device for reallocating cell performance indexes, which is characterized in that an electronic map is introduced on the basis of an original network cell and coverage prediction is carried out, the original network cell is subjected to rasterization, then the cell performance indexes of each grid are obtained according to a weight ratio, the cell performance indexes in each grid range are superposed according to the grids, and then the superposed cell performance indexes of each grid are obtained, so that the superposed cell performance indexes are allocated to the grids covered by each target cell, the total cell performance indexes of each target cell are obtained, the prediction of the cell performance indexes of a target network is realized, and the cell performance indexes can be reallocated to the target cells. When the apparatus is a hardware device, the functions of some or all of the units in the apparatus may be integrated into one processor.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware, or may be implemented by hardware related to program instructions, where the program may be stored in a computer-readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (12)

1. A method for reallocating cell performance indicators, comprising:
rasterizing the original network cell to obtain each cell performance index in each grid range;
superposing the performance indexes of the cells according to grids to obtain the superposed cell performance indexes of each grid;
performing rasterization processing on the target cells to obtain grids covered by each target cell;
distributing the superposed cell performance indexes to grids covered by each target cell according to a preset load sharing proportion;
wherein,
the cell performance indicators include: cell performance indexes of different frequency bands of different operators, cell performance indexes of different frequency bands of the same operator and cell performance indexes of the same frequency band of different operators;
the obtaining of the performance index of each cell in each grid range specifically includes:
after an electronic map is imported on the basis of the original network cells, the number of grids occupied by each ground object type in each original network cell is obtained; acquiring weight ratios corresponding to different ground object types; the weight ratio reflects the capability of different ground object types to bear the performance indexes of the cells;
and obtaining the performance indexes of each cell in each grid range according to the number of grids occupied by each ground object type in each original network cell, the weight ratio and the pre-acquired cell performance indexes of the original network cells.
2. The method according to claim 1, wherein the rasterizing the original network cell specifically includes:
determining the coverage area of an original network cell as a grid; or
Determining a grid by using measurement report information of a network; or
And importing an electronic map on the basis of the original network cell, wherein the electronic map comprises grids and the ground object type of each grid.
3. The method according to claim 1, wherein the rasterizing the target cells to obtain the grid covered by each target cell specifically includes:
and importing an electronic map on the basis of the grid-connected target cells so as to obtain the grids covered by each target cell.
4. The method according to claim 1, wherein the obtaining of the weight ratios corresponding to different feature types specifically comprises:
according to the formulaCalculating the performance indexes of the cells in unit area of the different ground object types;
wherein EjIs a cell performance index per unit area, T, of the terrain type jcell iIs a cell performance index, P, of cell i of the original networki jIs the area proportion S occupied by the ground object type j in the coverage area of the original network cell ii jThe area occupied by the surface feature type j in the coverage range of the original network cell i is represented, N is the number of the original network cells of which the area proportion occupied by the surface feature type j is higher than a preset proportion threshold value, or N is a preset number value which represents the number of the original network cells of which the area proportion occupied by the surface feature type j is ranked from high to low;
according to the calculated performance index E of the cell in unit area of each different ground feature typejObtaining the weight ratio W of the ground object type jj。
5. The method according to claim 4, wherein the obtaining of each cell performance index in each grid range according to the number of grids occupied by each type of terrain in each original network cell, the weight ratio, and the pre-obtained cell performance index of the original network cell specifically includes:
according to the formula T i s tan d a r d = T c e l l i / Σ j ∈ c l u t t e r s ( W j × N i j ) , Calculating the performance index of the reference grid cell of each original network cell, wherein Ti standardIs a reference grid cell performance index, N, of the original network cell ii jThe number of grids occupied by the ground object type j in the grids covered by the original network cell i, cluters are the types of the ground object types, WjThe weight proportion of the ground feature type j is calculated;
according to the formula Ti j＝Ti standard×WjObtaining the performance index of each cell in each grid range, wherein Ti jThe cell performance index of each grid of the ground object type j in the cell i of the original network is obtained.
6. The method of claim 5, wherein the cell performance indicator comprises at least one of voice traffic, data traffic, number of users, and number of signaling establishments.
7. An apparatus for re-assigning cell performance indicators, comprising:
the first rasterization processing unit is used for rasterization processing on the original network cell to obtain each cell performance index in each grid range;
the superposition unit is used for superposing the performance indexes of the cells according to the grids to obtain the superposed cell performance indexes of each grid;
the second rasterization processing unit is used for performing rasterization processing on the target cells so as to obtain grids covered by each target cell;
a cell performance index summarizing unit, configured to allocate the superimposed cell performance indexes to grids covered by each target cell according to a preset load sharing ratio;
wherein the performance index of each cell includes: cell performance indexes of different frequency bands of different operators, cell performance indexes of different frequency bands of the same operator and cell performance indexes of the same frequency band of different operators;
the first rasterization processing unit specifically comprises:
the grid number obtaining subunit is used for obtaining the grid number occupied by each ground object type in each original network cell after the electronic map is imported on the basis of the original network cell;
the weight ratio acquiring subunit is used for acquiring weight ratios corresponding to different ground object types; the weight ratio represents the capability of different ground object types to bear the cell performance indexes;
and the single-grid cell performance index acquiring subunit is used for acquiring the performance indexes of the cells in each grid range according to the number of grids occupied by each ground feature type in each original network cell, the weight ratio and the pre-acquired cell performance indexes of the original network cells.
8. The apparatus according to claim 7, wherein the first rasterization processing unit performs rasterization processing on the original mesh cell, specifically including:
determining the coverage area of an original network cell as a grid; or
Determining a grid by using measurement report information of a network; or
And importing an electronic map on the basis of the original network cell, wherein the electronic map comprises grids and the ground object type of each grid.
9. The apparatus according to claim 7, wherein the second rasterization processing unit specifically comprises:
and the second rasterization processing subunit is used for importing the electronic map on the basis of the grid-connected target cells so as to obtain grids covered by each target cell.
10. The apparatus of claim 7, wherein the weight ratio value operator unit specifically comprises:
a unit area cell performance index calculation module for calculating the performance index according to a formula Calculating the performance indexes of the cells in unit area of the different ground object types;
wherein EjIs a cell performance index per unit area, T, of the terrain type jcell iIs a cell performance index, P, of cell i of the original networki jIs the area proportion S occupied by the ground object type j in the coverage area of the original network cell ii jThe area occupied by the surface feature type j in the coverage range of the original network cell i is represented, N is the number of the original network cells of which the area proportion occupied by the surface feature type j is higher than a preset proportion threshold value, or N is a preset number value which represents the number of the original network cells of which the area proportion occupied by the surface feature type j is ranked from high to low;
a weight ratio calculation module for calculating the performance index E of each unit area cell of different ground feature typesjObtaining the weight ratio W of the ground object type jj。
11. The apparatus according to claim 10, wherein the single-grid cell performance indicator obtaining subunit specifically includes: a module for calculating the performance index of the reference grid cell according to a formula T i s tan d a r d = T c e l l i / Σ j ∈ c l u t t e r s ( W j × N i j ) , Calculating the performance index of the reference grid cell of each original network cell, wherein Ti standardIs a reference grid cell performance index, N, of the original network cell ii jThe number of grids occupied by the ground object type j in the grids covered by the original network cell i, cluters are the types of the ground object types, WjThe weight proportion of the ground feature type j is calculated;
a single grid cell performance index acquisition module for obtaining the performance index of the cell according to the formula Ti j＝Ti standard×WjObtaining the performance index of each cell in each grid range, wherein Ti jThe cell performance index of each grid of the ground object type j in the cell i of the original network is obtained.
12. The apparatus of claim 11, wherein the cell performance indicator comprises at least one of voice traffic, data traffic, number of users, and number of signaling establishments.
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