CN101730114A - Determining method and device of neighbor cells - Google Patents

Determining method and device of neighbor cells Download PDF

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CN101730114A
CN101730114A CN200910212293A CN200910212293A CN101730114A CN 101730114 A CN101730114 A CN 101730114A CN 200910212293 A CN200910212293 A CN 200910212293A CN 200910212293 A CN200910212293 A CN 200910212293A CN 101730114 A CN101730114 A CN 101730114A
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grid
main plot
pairing
sub
rscp
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CN101730114B (en
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周莅涛
沈海涛
冯伟伟
邵卓
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SHENZHEN YOUWANG TECHNOLOGY Co Ltd
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SHENZHEN YOUWANG TECHNOLOGY Co Ltd
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Abstract

The invention discloses determining method and device of neighbor cells. The method comprises the following steps of: dividing a main cell into grids; calculating the number proportion of main cell MRs (measurement reports) corresponding to the grids in an MR and determining the grids, the number proportions of which are larger than a proportion threshold value, to be main cell grids; calculating a difference value between an RSCP (received signal code power) average value of the main cell in the main cell grids and an RSCP average value of other cells beyond the main cell; and determining other cells the difference values of which are smaller than a difference value threshold value to be neighbor cells of the main cell. The method and the device can more accurately determine the neighbor cells of a cell.

Description

A kind of adjacent cell determining method and device
Technical field
The present invention relates to the communications field, relate in particular to a kind of adjacent cell determining method and device.
Background technology
The structure of communication network becomes increasingly complex at present, and it is more and more difficult that network operation also becomes, and therefore utilizes network optimization instrument that network is monitored and safeguards, improves network communication quality, becomes extremely urgent.In fact, whether in network operation process, switching problems such as call drop, switching difficulty and the normal gravity treatment overlong time in sub-district all may rationally relevant with the neighbouring relations of sub-district.By reasonable neighbor cell configuration, can realize improving the target of network communication quality.
The process of determining a certain adjacent cells of cells in the prior art is mainly: obtain the latitude and longitude information (be generally longitude and latitude to) of two sub-districts respectively, calculate distance between described two sub-districts according to described latitude and longitude information; With the described distance that calculates and predeterminable range threshold ratio,, determine that then described two sub-districts are not adjacent sub-districts if greater than this threshold value, otherwise, assert adjacent each other sub-district, described two sub-districts.
But this adjacent cell determining method is only determined according to latitude and longitude information, is determined that the result is inaccurate, thereby influenced network communication quality.
Summary of the invention
In view of this, the technical problem to be solved in the present invention is, a kind of adjacent cell determining method and device are provided, and can determine each adjacent cells of cells more accurately.
For this reason, the embodiment of the invention adopts following technical scheme:
The embodiment of the invention provides a kind of adjacent cell determining method, comprising:
The main plot is divided into grid;
Calculate that each described grid is pairing, the number proportion of main plot MR among the measurement report MR, determine that described number proportion is the main plot grid greater than the grid of proportion threshold value;
Calculate the difference between the RSCP mean value of received signal code power (RSCP) mean value of main plot in each main plot grid and other sub-districts outside the main plot, determine that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
Wherein, the number proportion of main plot MR is specially among the pairing MR of each grid of described calculating:
From the MR that collects, add up the number of the pairing MR of each grid and the number of pairing main plot MR;
Calculate the number of the pairing main plot MR of each grid and the ratio between the pairing MR number of this grid, described ratio is the pairing number proportion of each grid.
The number of the pairing MR of each grid of described statistics and the number of main plot MR are specially:
From the MR that collects, search and obtain the pairing MR of each grid;
From the pairing MR of each grid, search the main plot MR that obtains each grid correspondence;
Add up the number of the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
The number of the pairing MR of each grid of described statistics and the number of main plot MR are specially:
From the MR that collects, search the MR that obtains each grid correspondence, the number of adding up the MR of each grid correspondence; From the MR that collects, search and obtain main plot MR, from search the main plot MR that obtains, search the main plot MR that obtains each grid correspondence, the number of adding up the main plot MR of each grid correspondence.
Described method of searching the pairing MR of described grid is:
The latitude and longitude information that latitude and longitude information and each MR of each grid comprised compares, if identical, then has corresponding relation between described MR that latitude and longitude information is identical and the described grid.
Difference in each main plot grid of described calculating between the RSCP mean value of the RSCP mean value of main plot and other sub-districts outside the main plot is specially:
Determine the pairing MR of each main plot grid;
Pairing MR divides into groups according to the sub-district that MR belonged to each main plot grid;
According to the MR group of each sub-district in each main plot grid, calculate the RSCP mean value of each sub-district;
Calculate the difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts.
The computing formula of the RSCP mean value of arbitrary sub-district X is in the grid of arbitrary main plot:
Figure G2009102122939D00031
Wherein, described n1 is the number of the MR of sub-district X; RSCP iRSCP value for i MR of sub-district X correspondence.
The embodiment of the invention also provides a kind of definite device of adjacent sub-district, comprising:
Division unit is used for the main plot is divided into grid;
First computing unit is used for calculating that each described grid is pairing, the number proportion of measurement report MR main plot MR;
First determining unit is used for determining that described number proportion is the main plot grid greater than the grid of proportion threshold value;
Second computing unit is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts outside the main plot;
Second determining unit is used for determining that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
Wherein, first computing unit comprises:
The first statistics subelement is used for from the MR that collects, and adds up the number of the pairing MR of each grid and the number of pairing main plot MR;
First computation subunit is used to calculate the number of the pairing main plot MR of each grid and the ratio between the pairing MR number of this grid, and described ratio is the pairing number proportion of each grid.
The described first statistics subelement comprises:
First searches submodule, is used for searching from the MR that collects obtaining the pairing MR of each grid;
Second searches submodule, is used for searching the main plot MR that obtains each grid correspondence from the pairing MR of each grid;
The first statistics submodule is used to add up the number of the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
The described first statistics subelement comprises:
The 3rd searches submodule, is used for searching the MR that obtains each grid correspondence from the MR that collects;
The second statistics submodule is used to add up the number of the MR of each grid correspondence;
The 4th searches submodule, is used for searching from the MR that collects obtaining main plot MR, searches the main plot MR that obtains each grid correspondence from search the main plot MR that obtains;
The 3rd statistics submodule is used to add up the number of the main plot MR of each grid correspondence.
Described second computing unit comprises:
Determine subelement, be used for determining the pairing MR of each main plot grid;
The grouping subelement is used for the pairing MR of each main plot grid is divided into groups according to the sub-district that MR belonged to;
Second computation subunit is used for the MR group according to each each sub-district of grid, main plot, calculates the RSCP mean value of each sub-district;
The 3rd computation subunit is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts
Technique effect for technique scheme is analyzed as follows:
The main plot is divided into grid, with each grid is process object, at first calculate the number proportion of the pairing main plot MR of each described grid, thereby determine the grid that the main plot covers, afterwards, be process object with the main plot grid of determining again, obtain difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts less than described other sub-districts of difference threshold, with the adjacent sub-district of described other sub-districts as the main plot, thereby make the definite of described adjacent sub-district carry out according to measurement report, and definite result has been accurate to lattice level, thereby the information of adjacent cells of the main plot that obtains is more accurate.
Description of drawings
Fig. 1 is a kind of adjacent cell determining method schematic flow sheet of the embodiment of the invention;
Fig. 2 is the another kind of adjacent cell determining method schematic flow sheet of the embodiment of the invention;
Fig. 3 is definite apparatus structure schematic diagram of a kind of adjacent sub-district of the embodiment of the invention;
Fig. 4 is the embodiment of the invention first computing unit implementation structure exemplary plot;
Fig. 5 is a kind of exemplary plot of the embodiment of the invention first statistics subelement implementation structure;
Fig. 6 is the another kind of exemplary plot of the embodiment of the invention first statistics subelement implementation structure;
Fig. 7 is the implementation structure exemplary plot of the embodiment of the invention second computing unit.
Embodiment
Below, be described with reference to the accompanying drawings the realization of adjacent cell determining method of the embodiment of the invention and device.
Fig. 1 is a kind of adjacent cell determining method schematic flow sheet of the embodiment of the invention, as shown in Figure 1, comprising:
Step 101: the main plot is divided into grid.
Wherein, described main plot is the current required sub-district of analyzing.
Step 102: calculate that each described grid is pairing, the number proportion of main plot MR among the measurement report MR, determine that described number proportion is the main plot grid greater than the grid of proportion threshold value.
Described main plot grid is: the grid that the main plot covered.
In this step, by described calculating, each grid is counted proportions one by one with correspondence, the computing formula of described number proportion can for:
Figure G2009102122939D00051
Wherein, grid Y is that the arbitrary grid in the grid that obtains is divided in the main plot.
Step 103: calculate the difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts outside the main plot, determine that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
In the embodiment of the invention shown in Figure 1, the main plot is divided into grid, with each grid is process object, at first determine main plot grid in the grid according to the number of the measurement report of each grid correspondence, afterwards, be process object with the main plot grid again, obtain difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts less than described other sub-districts of difference threshold, with the adjacent sub-district of described other sub-districts as the main plot, thereby make the definite of described adjacent sub-district carry out according to measurement report, and definite result has been accurate to lattice level, thereby the information of adjacent cells of the main plot that obtains is more accurate, and then can improve network communication quality.
Below, determine that by adjacent sub-district shown in Figure 2 method determines that to adjacent sub-district shown in Figure 1 method further describes in detail.As shown in Figure 2, described adjacent sub-district determines that method comprises:
Step 201: the main plot is divided into grid, and determines the latitude and longitude information of each grid; Afterwards, difference execution in step 202 and step 204.
Wherein, the realization of this step can for:
GIS-Geographic Information System (GIS) map is divided into the rectangle of regular length and width, and described rectangle is called grid, is used for accurately locating the zone on the GIS map, and, the corresponding latitude and longitude information of each grid, described latitude and longitude information be generally a longitude and latitude to (x, y).For example, can set described length and width and equate, be 100 meters, and then the specification of described grid is 100m * 100m.According to transmitting power, antenna directional angle, angle of declination, frequency and the propagation model etc. of sub-district, calculate the coverage of sub-district, the corresponding simulation coverage diagram of setting up the main plot;
Simulation coverage diagram by described main plot is determined the border of main plot on the GIS map, determine not to be positioned on the GIS map grid outside the described border.The described grid that is not positioned at outside the described border is the grid of main plot.
Can determine the latitude and longitude information of each grid correspondence that the main plot covers by described GIS map.
Step 202: from all MR that collect, search and obtain main plot MR, execution in step 203.
Wherein, described collection is for to gather from network side, and is concrete, can carry out described acquisition operations by corresponding collecting device etc., repeats no more here.
Described main plot MR is: the MR that belongs to the main plot.Wherein, each sub-district all has the cell ID (ID) of its uniqueness of sign.And among each MR except comprising concrete metrical information, also comprise: CELL_ID and latitude and longitude information.The sub-district that described CELL_ID promptly characterizes MR and belonged to, main plot MR is the CELL_ID MR identical with main plot ID.Therefore, in this step, can from MR, search the CELL_ID MR identical, search the MR that obtains and be main plot MR according to described main plot ID with main plot ID.
Step 203: from search the main plot MR that obtains, search the main plot MR that obtains each grid correspondence, the number of adding up the main plot MR of each grid correspondence; Execution in step 205.
The realization of this step can for: the latitude and longitude information of main plot MR and the latitude and longitude information of each grid of main plot are compared, when the latitude and longitude information of main plot MR is identical with the latitude and longitude information of grid, have corresponding relation between described MR that the identification latitude and longitude information is identical and the described grid, add up the number of the main plot MR of each grid correspondence.
The grid ID of its uniqueness of sign can be set for grid in the embodiment of the invention, then the realization of this step is specifically as follows: whether the latitude and longitude information of judging each grid successively is identical with the latitude and longitude information of each main plot MR, if identical, then determine to have corresponding relation and record between main plot MR and the grid ID; According to the described corresponding relation of record, pass through the number of the pairing main plot MR of each grid ID respectively.
Step 204: from the MR that collects, search the MR that obtains each grid correspondence, the number of adding up the MR of each grid correspondence; Execution in step 205.
The realization of this step can for: whether the latitude and longitude information of judging each grid successively identical with the latitude and longitude information of each MR, if identical, then determines to have corresponding relation and record between MR that latitude and longitude information is identical and the grid; According to the described corresponding relation of record, determine the number of the pairing MR of each grid respectively.
Step 205: the number proportion that calculates main plot MR among the pairing MR of each grid.
Concrete, described number proportion can be with reference to formula (1), and by the calculating of this step, each grid is all counted rate of specific gravity one by one with correspondence.
Step 206: determine that described number proportion is the main plot grid greater than the grid of proportion threshold value.
The realization of this step can for: judge that whether the main plot divide the described number proportion of each the grid correspondence obtain greater than default proportion threshold value, if judge that then this grid is the main plot grid; Otherwise, judge that this grid is not the main plot grid.
The main plot grid here is the grid of select some from the grid of current main plot, and described main plot grid will be as the process object of subsequent step 207~step 209.
Wherein, the MR number is relevant with factors such as surrounding environment, in broadband demal multiplex (MUX) access (WCDMA), MR reports by Event triggered, popular says that promptly, event occurs, just has a MR and reports, and varying environment, that a situation arises is different for incident, and therefore, described proportion threshold value is the empirical value that obtains of actual measurement normally, concrete numerical value can change according to the difference of environment for use, does not limit here.
Step 207: the MR that obtains each described main plot grid correspondence.
Wherein, in step 204, determined the corresponding relation between each grid and each MR, therefore, can directly search the corresponding relation that obtains each main plot grid in this step from described corresponding relation; Perhaps, also can refer step 203 and step 204, compare the MR that obtains main plot grid correspondence by the latitude and longitude information of main plot grid and the latitude and longitude information of each MR, repeat no more here.
Step 208: for each grid, pairing MR divides according to the sub-district with this grid, obtains the MR group of each sub-district correspondence, according to the MR group of each sub-district in this grid, calculates the RSCP mean value of each sub-district.
The MR that supposes arbitrary sub-district X in a certain grid has n1, and then the computing formula of the RSCP mean value of this sub-district X is:
Figure G2009102122939D00081
Wherein, employed RSCP value can be obtained from each MR during this step calculating mean value.
Step 209: calculate the difference between the RSCP mean value of other sub-districts outside the main plot RSCP mean value and main plot in the described grid, and with each difference and preset difference value threshold ratio, determine that difference is the adjacent sub-district of main plot less than the sub-district of described difference threshold.
If there has been the information of adjacent cells of main plot at present, then need only information of adjacent cells according to the original main plot of information updating of the adjacent sub-district of the new main plot of determining in the step 209.
Generally, the RSCP mean value of adjacent sub-district is normal than the little 6DB of RSCP mean value of main plot, and also promptly can set described difference threshold is 6DB, still, also need in actual use this threshold value to be adjusted, so that be applicable to corresponding environment by test.
In the embodiment of the invention, step 202~step 204 is the step of the number of the number of statistics each grid pairing MR from the MR that collects and pairing main plot MR, and this step can also be finished by following steps:
Step 202 ': from the MR that collects, search and obtain the pairing MR of each grid;
Step 203 ': from the pairing MR of each grid, search the main plot MR that obtains each grid correspondence;
Step 204 ': the number of adding up the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
Above-mentioned steps has also been finished the MR number of each grid correspondence and the statistics of main plot MR number.
Fig. 3 is definite apparatus structure schematic diagram of a kind of adjacent sub-district of the embodiment of the invention, as shown in Figure 3, comprising:
Division unit 310 is used for the main plot is divided into grid;
First computing unit 320 is used for calculating that each described grid is pairing, the number proportion of measurement report MR main plot MR;
First determining unit 330 is used for determining that described number proportion is the main plot grid greater than the grid of proportion threshold value;
Second computing unit 340 is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts outside the main plot;
Second determining unit 350 is used for determining that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
Wherein, as shown in Figure 4, first computing unit 320 specifically can be realized by following structure:
The first statistics subelement 410 is used for from the MR that collects, and adds up the number of the pairing MR of each grid and the number of pairing main plot MR;
First computation subunit 420 is used to calculate the number of the pairing main plot MR of each grid and the ratio between the pairing MR number, and described ratio is the pairing number proportion of each grid.
Preferably, as shown in Figure 5, the described first statistics subelement 410 can further be realized by following structure:
First searches submodule 510, is used for searching from the MR that collects obtaining the pairing MR of each grid;
Second searches submodule 520, is used for searching the main plot MR that obtains each grid correspondence from the pairing MR of each grid;
The first statistics submodule 530 is used to add up the number of the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
Perhaps, as shown in Figure 6, the described first statistics subelement 410 can also be realized by following structure:
The 3rd searches submodule 610, is used for searching the MR that obtains each grid correspondence from the MR that collects;
The second statistics submodule 620 is used to add up the number of the MR of each grid correspondence, and described number is sent to first determining unit 430;
The 4th searches submodule 630, is used for searching from the MR that collects obtaining main plot MR, searches the main plot MR that obtains each grid correspondence from search the main plot MR that obtains;
The 3rd statistics submodule 640 is used to add up the number of the main plot MR of each grid correspondence, and described number is sent to first determining unit 430.
As shown in Figure 7, described second computing unit 340 can be realized by following structure:
Determine subelement 710, be used for determining the pairing MR of each main plot grid;
Grouping subelement 720 is used for the pairing MR of each main plot grid is divided into groups according to the sub-district that MR belonged to;
Second computation subunit 730 is used for the MR group according to each each sub-district of grid, main plot, calculates the RSCP mean value of each sub-district;
The 3rd computation subunit 740 is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts.
In definite device of the adjacent sub-district of the embodiment of the invention of Fig. 3~shown in Figure 7, division unit is divided into grid with the main plot, with each grid is process object, at first first computing unit calculates the number proportion of the pairing main plot MR of each described grid, thereby determine the main plot grid according to described number proportion first determining unit, afterwards, be process object with the main plot grid of determining again, second computing unit calculates the difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts, second determining unit determines that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold, thereby make the definite of described adjacent sub-district carry out according to measurement report, and definite result has been accurate to lattice level, thereby the information of adjacent cells of the main plot that obtains is more accurate.
One of ordinary skill in the art will appreciate that, the process of the adjacent cell determining method of realization the foregoing description can be finished by the relevant hardware of program command, described program can be stored in the read/write memory medium, and this program is carried out the corresponding step in the said method when carrying out.Described storage medium can be as ROM/RAM, magnetic disc, CD etc.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (12)

1. an adjacent cell determining method is characterized in that, comprising:
The main plot is divided into grid;
Calculate that each described grid is pairing, the number proportion of main plot MR among the measurement report MR, determine that described number proportion is the main plot grid greater than the grid of proportion threshold value;
Calculate the difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts outside the main plot, determine that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
2. method according to claim 1 is characterized in that, the number proportion of main plot MR is specially among the pairing MR of each grid of described calculating:
From the MR that collects, add up the number of the pairing MR of each grid and the number of pairing main plot MR;
Calculate the number of the pairing main plot MR of each grid and the ratio between the pairing MR number of this grid, described ratio is the pairing number proportion of each grid.
3. method according to claim 2 is characterized in that, the number of the pairing MR of each grid of described statistics and the number of main plot MR are specially:
From the MR that collects, search and obtain the pairing MR of each grid;
From the pairing MR of each grid, search the main plot MR that obtains each grid correspondence;
Add up the number of the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
4. method according to claim 2 is characterized in that, the number of the pairing MR of each grid of described statistics and the number of main plot MR are specially:
From the MR that collects, search the MR that obtains each grid correspondence, the number of adding up the MR of each grid correspondence; From the MR that collects, search and obtain main plot MR, from search the main plot MR that obtains, search the main plot MR that obtains each grid correspondence, the number of adding up the main plot MR of each grid correspondence.
5. according to claim 3 or 4 described methods, it is characterized in that described method of searching the pairing MR of described grid is:
The latitude and longitude information that latitude and longitude information and each MR of each grid comprised compares, if identical, then has corresponding relation between described MR that latitude and longitude information is identical and the described grid.
6. according to each described method of claim 1 to 4, it is characterized in that the difference in each main plot grid of described calculating between the RSCP mean value of the RSCP mean value of main plot and other sub-districts outside the main plot is specially:
Determine the pairing MR of each main plot grid;
Pairing MR divides into groups according to the sub-district that MR belonged to each main plot grid;
According to the MR group of each sub-district in each main plot grid, calculate the RSCP mean value of each sub-district;
Calculate the difference between the RSCP mean value of the RSCP mean value of main plot in each main plot grid and other sub-districts.
7. method according to claim 6 is characterized in that, the computing formula of the RSCP mean value of arbitrary sub-district X is in the grid of arbitrary main plot:
Figure F2009102122939C00021
Wherein, described n1 is the number of the MR of sub-district X; RSCP iRSCP value for i MR of sub-district X correspondence.
8. definite device of an adjacent sub-district is characterized in that, comprising:
Division unit is used for the main plot is divided into grid;
First computing unit is used for calculating that each described grid is pairing, the number proportion of measurement report MR main plot MR;
First determining unit is used for determining that described number proportion is the main plot grid greater than the grid of proportion threshold value;
Second computing unit is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts outside the main plot;
Second determining unit is used for determining that described difference is the adjacent sub-district of main plot less than described other sub-districts of difference threshold.
9. device according to claim 8 is characterized in that, first computing unit comprises:
The first statistics subelement is used for from the MR that collects, and adds up the number of the pairing MR of each grid and the number of pairing main plot MR;
First computation subunit is used to calculate the number of the pairing main plot MR of each grid and the ratio between the pairing MR number of this grid, and described ratio is the pairing number proportion of each grid.
10. device according to claim 9 is characterized in that, the described first statistics subelement comprises:
First searches submodule, is used for searching from the MR that collects obtaining the pairing MR of each grid;
Second searches submodule, is used for searching the main plot MR that obtains each grid correspondence from the pairing MR of each grid;
The first statistics submodule is used to add up the number of the main plot MR of the number of MR of each grid correspondence and each grid correspondence.
11. device according to claim 9 is characterized in that, the described first statistics subelement comprises:
The 3rd searches submodule, is used for searching the MR that obtains each grid correspondence from the MR that collects;
The second statistics submodule is used to add up the number of the MR of each grid correspondence;
The 4th searches submodule, is used for searching from the MR that collects obtaining main plot MR, searches the main plot MR that obtains each grid correspondence from search the main plot MR that obtains;
The 3rd statistics submodule is used to add up the number of the main plot MR of each grid correspondence.
12. to 11 each described devices, it is characterized in that according to Claim 8 described second computing unit comprises:
Determine subelement, be used for determining the pairing MR of each main plot grid;
The grouping subelement is used for the pairing MR of each main plot grid is divided into groups according to the sub-district that MR belonged to;
Second computation subunit is used for the MR group according to each each sub-district of grid, main plot, calculates the RSCP mean value of each sub-district;
The 3rd computation subunit is used for calculating the difference between the RSCP mean value of the RSCP mean value of each grid main plot, main plot and other sub-districts.
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WO2012024845A1 (en) * 2010-08-27 2012-03-01 中兴通讯股份有限公司 Method and device for discovering 2g neighbor cells at edge of area covered by 3g cell
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