CN101730114B - Determining method and device of neighbor cells - Google Patents
Determining method and device of neighbor cells Download PDFInfo
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- CN101730114B CN101730114B CN2009102122939A CN200910212293A CN101730114B CN 101730114 B CN101730114 B CN 101730114B CN 2009102122939 A CN2009102122939 A CN 2009102122939A CN 200910212293 A CN200910212293 A CN 200910212293A CN 101730114 B CN101730114 B CN 101730114B
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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
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
At present the structure of communication network becomes increasingly complex, and therefore the network operation more and more difficult that also becomes utilizes the network optimization instrument network is kept watch on and to be safeguarded, 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 maybe rationally relevant with the neighbouring relations of sub-district.Through reasonable neighbor cell configuration, can realize improving the target of network communication quality.
The process of confirming 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 the distance between said two sub-districts according to said latitude and longitude information; With the said distance that calculates and predeterminable range threshold ratio,, confirm that then said two sub-districts are not adjacent sub-districts if greater than this threshold value, otherwise, assert adjacent each other sub-district, said two sub-districts.
But this adjacent cell determining method is only confirmed according to latitude and longitude information, is confirmed that the result is inaccurate, thereby influenced network communication quality.
Summary of the invention
In view of this, the technical problem that the present invention will solve is, a kind of adjacent cell determining method and device are provided, and can confirm 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 said grid is pairing, the number proportion of main plot MR among the measurement report MR, confirm that said 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 and other sub-districts outside the main plot of main plot in each main plot grid, confirm that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold.
Wherein, the number proportion of main plot MR is specially among the pairing MR of each grid of said 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, said ratio is the pairing number proportion of each grid.
The number of the pairing MR of each grid of said 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 and obtain the corresponding main plot MR of each grid;
Add up the number of the corresponding main plot MR of number and each grid of the corresponding MR of each grid.
The number of the pairing MR of each grid of said statistics and the number of main plot MR are specially:
From the MR that collects, search and obtain the corresponding MR of each grid, the number of adding up the corresponding MR of each grid; From the MR that collects, search and obtain main plot MR, from search the main plot MR that obtains, search and obtain the corresponding main plot MR of each grid, the number of adding up the corresponding main plot MR of each grid.
Said method of searching the pairing MR of said grid is:
The latitude and longitude information that latitude and longitude information and each MR of each grid comprised compares, if identical, has corresponding relation between said MR that then latitude and longitude information is identical and the said grid.
Difference in each main plot grid of said calculating between the RSCP mean value of the RSCP mean value of main plot and other sub-districts outside the main plot is specially:
Confirm 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 RSCP mean value and other sub-districts of main plot in each main plot grid.
The computing formula of the RSCP mean value of arbitrary sub-district X is in the grid of arbitrary main plot:
Wherein, said n1 is the number of the MR of sub-district X; RSCP
iRSCP value for i corresponding MR of sub-district X.
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 said grid is pairing, the number proportion of measurement report MR main plot MR;
First confirms the unit, is used for confirming that said 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 RSCP mean value and other sub-districts outside the main plot of each grid main plot, main plot;
Second confirms the unit, is used for confirming that said difference is the adjacent sub-district of main plot less than said 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 said ratio is the pairing number proportion of each grid.
The said 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 corresponding main plot MR of number and each grid of the corresponding MR of each grid.
The said 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, the number that is used to add up the corresponding MR of each grid;
The 4th searches submodule, is used for searching from the MR that collects obtaining main plot MR, from search the main plot MR that obtains, searches to obtain the corresponding main plot MR of each grid;
The 3rd statistics submodule, the number that is used to add up the corresponding main plot MR of each grid.
Said second computing unit comprises:
Confirm subelement, be used for confirming 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;
Audit of economy operator unit is used for calculating the difference between the RSCP mean value of RSCP mean value and other sub-districts of each grid main plot, main plot
Technique effect analysis for technique scheme is following:
The main plot is divided into grid, is process object with each grid, at first calculates the number proportion of the pairing main plot MR of each said grid; Thereby confirm the grid that the main plot covers; Afterwards, be process object with the main plot grid of confirming again, obtain difference between the RSCP mean value of RSCP mean value and other sub-districts of main plot in each main plot grid less than said other sub-districts of difference threshold; With the adjacent sub-district of said other sub-districts as the main plot; Thereby make the definite of said adjacent sub-district carry out, and definite result has been accurate to lattice level, thereby the information of adjacent cells of the main plot that obtains is more accurate according to measurement report.
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 sketch map 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, and is as shown in Figure 1, comprising:
Step 101: the main plot is divided into grid.
Wherein, said main plot is the current required sub-district of analyzing.
Step 102: calculate that each said grid is pairing, the number proportion of main plot MR among the measurement report MR, confirm that said number proportion is the main plot grid greater than the grid of proportion threshold value.
Said main plot grid is: the grid that the main plot covered.
In this step, through said calculating, each grid is counted proportions one by one with correspondence, the computing formula of said number proportion can for:
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 RSCP mean value and other sub-districts outside the main plot of main plot in each main plot grid, confirm that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold.
In the embodiment of the invention shown in Figure 1; The main plot is divided into grid, is process object with each grid, at first confirms the main plot grid in the grid according to the number of the corresponding measurement report of each grid; Afterwards; Be process object with the main plot grid again, obtain difference between the RSCP mean value of RSCP mean value and other sub-districts of main plot in each main plot grid less than said other sub-districts of difference threshold, with the adjacent sub-district of said other sub-districts as the main plot; Thereby make the definite of said 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, confirm that through adjacent sub-district shown in Figure 2 method confirms that to adjacent sub-district shown in Figure 1 method further describes in detail.As shown in Figure 2, said adjacent sub-district confirms that method comprises:
Step 201: the main plot is divided into grid, and confirms 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 said 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, said latitude and longitude information be generally a longitude and latitude to (x, y).For example, can set said length and width and equate, be 100 meters, and then the specification of said 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 through said main plot is confirmed the border of main plot on the GIS map, confirm not to be positioned on the GIS map grid outside the said border.The said grid that is not positioned at outside the said border is the grid of main plot.
Can confirm the corresponding latitude and longitude information of each grid that the main plot covers through said GIS map.
Step 202: from all MR that collect, search and obtain main plot MR, execution in step 203.
Wherein, said collection is for to gather from network side, and is concrete, can carry out said acquisition operations through corresponding collecting device etc., repeats no more here.
Said 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 said 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 said main plot ID with main plot ID.
Step 203: from search the main plot MR that obtains, search and obtain the corresponding main plot MR of each grid, the number of adding up the corresponding main plot MR of each grid; 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 said MR that the identification latitude and longitude information is identical and the said grid, add up the number of the corresponding main plot MR of each grid.
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 specifically can for: whether the latitude and longitude information of judging each grid successively identical with the latitude and longitude information of each main plot MR; If identical, then confirm to have corresponding relation and record between main plot MR and the grid ID; According to the said 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 and obtain the corresponding MR of each grid, the number of adding up the corresponding MR of each grid; 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 confirms to have corresponding relation and record between MR that latitude and longitude information is identical and the grid; According to the said corresponding relation of record, confirm 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, said number proportion can be with reference to formula (1), and through the calculating of this step, each grid is all counted rate of specific gravity with correspondence one by one.
Step 206: confirm that said 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 corresponding said number proportion of each grid obtain greater than preset 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 said 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, and 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, therefore; Said proportion threshold value is the empirical value that obtains of actual measurement normally, and concrete numerical value can change according to the difference of environment for use, does not limit here.
Step 207: obtain the corresponding MR of each said main plot grid.
Wherein, in step 204, confirmed 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 said corresponding relation; Perhaps, also can refer step 203 with step 204, latitude and longitude information through the main plot grid and the latitude and longitude information of each MR compare and obtain the corresponding MR of main plot grid, repeat no more here.
Step 208: for each grid, pairing MR divides according to the sub-district with this grid, obtains the corresponding MR group in each sub-district, 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:
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 said grid; And with each difference and preset difference value threshold ratio, confirm that difference is the adjacent sub-district of main plot less than the sub-district of said 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 confirming 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 said difference threshold is 6DB, still; Also need adjust this threshold value in actual use, so that be applicable to corresponding environment through 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 accomplished through 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 and obtain the corresponding main plot MR of each grid;
Step 204 ': the number of adding up the corresponding main plot MR of number and each grid of the corresponding MR of each grid.
Above-mentioned steps has also been accomplished the MR number of each grid correspondence and the statistics of main plot MR number.
Fig. 3 is definite apparatus structure sketch map of a kind of adjacent sub-district of the embodiment of the invention, and is as shown in Figure 3, comprising:
First confirms unit 330, is used for confirming that said number proportion is the main plot grid greater than the grid of proportion threshold value;
Second confirms unit 350, is used for confirming that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold.
Wherein, as shown in Figure 4, first computing unit 320 specifically can be realized through 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;
Preferably, as shown in Figure 5, the said first statistics subelement 410 can further be realized through 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 corresponding main plot MR of number and each grid of the corresponding MR of each grid.
Perhaps, as shown in Figure 6, the said first statistics subelement 410 can also be realized through 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, the number that is used to add up the corresponding MR of each grid sends to first with said number and confirms unit 430;
The 4th searches submodule 630, is used for searching from the MR that collects obtaining main plot MR, from search the main plot MR that obtains, searches to obtain the corresponding main plot MR of each grid;
The 3rd statistics submodule 640, the number that is used to add up the corresponding main plot MR of each grid sends to first with said number and confirms unit 430.
As shown in Figure 7, said second computing unit 340 can be realized through following structure:
Audit of economy operator unit 740 is used for calculating the difference between the RSCP mean value of RSCP mean value and other sub-districts of each grid main plot, main plot.
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, is process object with each grid, and at first first computing unit calculates the number proportion of the pairing main plot MR of each said grid; Thereby confirm the main plot grid according to said number proportion first definite unit; Afterwards, be process object with the main plot grid of confirming again, second computing unit calculates the difference between the RSCP mean value of RSCP mean value and other sub-districts of main plot in each main plot grid; Second definite unit confirms that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold; Thereby make the definite of said adjacent sub-district carry out, and definite result has been accurate to lattice level, thereby the information of adjacent cells of the main plot that obtains is more accurate according to measurement report.
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 accomplished through the relevant hardware of program command; Described program can be stored in the read/write memory medium, and this program when carrying out the corresponding step in the said method.Described storage medium can be like 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 improvement and retouching, these improvement and retouching also should be regarded as protection scope of the present invention.
Claims (8)
1. an adjacent cell determining method is characterized in that, comprising:
The main plot is divided into grid;
Calculate that each said grid is pairing, the number proportion of main plot MR among the measurement report MR, confirm that said number proportion is the main plot grid greater than the grid of proportion threshold value;
Calculate the difference between the RSCP mean value of RSCP mean value and other sub-districts outside the main plot of main plot in each main plot grid, confirm that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold;
The number proportion of main plot MR comprises among the pairing MR of each grid of said 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, said ratio is the pairing number proportion of each grid;
Difference in each main plot grid of said calculating between the RSCP mean value of the RSCP mean value of main plot and other sub-districts outside the main plot comprises:
Confirm 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 RSCP mean value and other sub-districts of main plot in each main plot grid.
2. method according to claim 1 is characterized in that, the number of the pairing MR of each grid of said 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 and obtain the corresponding main plot MR of each grid;
Add up the number of the corresponding main plot MR of number and each grid of the corresponding MR of each grid.
3. method according to claim 1 is characterized in that, the number of the pairing MR of each grid of said statistics and the number of main plot MR are specially:
From the MR that collects, search and obtain the corresponding MR of each grid, the number of adding up the corresponding MR of each grid; From the MR that collects, search and obtain main plot MR, from search the main plot MR that obtains, search and obtain the corresponding main plot MR of each grid, the number of adding up the corresponding main plot MR of each grid.
4. according to claim 2 or 3 described methods, it is characterized in that said method of searching the pairing MR of said grid is:
The latitude and longitude information that latitude and longitude information and each MR of each grid comprised compares, if identical, has corresponding relation between said MR that then latitude and longitude information is identical and the said grid.
5. according to each described method of claim 1 to 3, it 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:
Wherein, said n1 is the number of the MR of sub-district X; RSCP
iRSCP value for i corresponding MR of sub-district X.
6. 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 said grid is pairing, the number proportion of measurement report MR main plot MR;
First confirms the unit, is used for confirming that said 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 RSCP mean value and other sub-districts outside the main plot of each grid main plot, main plot;
Second confirms the unit, is used for confirming that said difference is the adjacent sub-district of main plot less than said other sub-districts of difference threshold;
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 said ratio is the pairing number proportion of each grid;
Said second computing unit comprises:
Confirm subelement, be used for confirming 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;
Audit of economy operator unit is used for calculating the difference between the RSCP mean value of RSCP mean value and other sub-districts of each grid main plot, main plot.
7. device according to claim 6 is characterized in that, the said 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 corresponding main plot MR of number and each grid of the corresponding MR of each grid.
8. device according to claim 6 is characterized in that, the said 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, the number that is used to add up the corresponding MR of each grid;
The 4th searches submodule, is used for searching from the MR that collects obtaining main plot MR, from search the main plot MR that obtains, searches to obtain the corresponding main plot MR of each grid;
The 3rd statistics submodule, the number that is used to add up the corresponding main plot MR of each grid.
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| CN102378308A (en) * | 2010-08-06 | 2012-03-14 | 中兴通讯股份有限公司 | Coordinated multi-point transmission (CoMP) system and method for selecting primary cell |
| EP2611235B1 (en) * | 2010-08-27 | 2018-11-21 | ZTE Corporation | Method and device for discovering 2g neighbour cells at the edge of an area covered by a 3g cell |
| CN102075954B (en) * | 2011-01-27 | 2015-07-22 | 中兴通讯股份有限公司 | Neighbor cell determination method and device |
| CN103037388B (en) * | 2012-12-06 | 2015-07-15 | 上海大唐移动通信设备有限公司 | Method and device for confirming distribution of user equipment |
| CN103906121B (en) * | 2012-12-28 | 2017-11-21 | 中国移动通信集团内蒙古有限公司 | A kind of method and device of localized external interference |
| CN103916863B (en) * | 2012-12-31 | 2017-06-20 | 中国移动通信集团浙江有限公司 | The frequency optimization method of the addition miss-configured neighboring cells based on grid positioning |
| CN103916887B (en) * | 2012-12-31 | 2017-11-03 | 中国移动通信集团浙江有限公司 | The adjacent area leakage localization method positioned based on grid |
| CN105407502A (en) * | 2015-10-30 | 2016-03-16 | 中国联合网络通信集团有限公司 | Method and device for determining whether overlapping coverage cell exists |
| CN112469074B (en) * | 2020-12-15 | 2024-02-02 | 中国联合网络通信集团有限公司 | VoLTE fallback positioning method, voLTE fallback positioning device, voLTE fallback server and VoLTE fallback storage medium |
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