CN104244446B - Obtain the method and device of WLAN deployment information - Google Patents
Obtain the method and device of WLAN deployment information Download PDFInfo
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Abstract
The present invention provides a kind of method and device for obtaining WLAN deployment information, and method includes：Obtain cell WLAN precise deployment WDA tables and grid flowmeter, the cell WDA tables include the cell WDA fractions of different districts, the grid flowmeter includes the grid flow of different grids, and the grid is the local geographic location area of different districts covering；Automatic cascading judgement is carried out according to the grid flow of the cell WDA fractions of the different districts and the different grids, obtains hot spot grid；WLAN deployment information is obtained according to the hot spot grid, to realize the deployment of WLAN.By obtaining cell WLAN precise deployment WDA tables and grid flowmeter, cell-level analysis and lattice level analysis are combined, hot spot in network can be not only quickly found out, solve the problems, such as that the prior art can not find " hot spot " or " hot spot is not warm ", and provide more fine-grained WLAN precise deployments information.
Description
Technical field
The present invention relates to the communication technology, more particularly to a kind of method and device for obtaining WLAN deployment information.
Background technology
With the development of communication network, mobile phone terminal increasingly be used to surf the Internet, and accelerate the development of data service, but
It is, while also have impact on the second generation（Second Generation, 2G）The voice quality of the speech business of network.
In order to effectively by data service from global system for mobile telecommunications（Global System for Mobile
Communications, GSM）Shunted away in net, WLAN（Wireless Local Area Networks, WLAN）
As effective supplement of cellular network, the data service in radio honeycomb cell is shunted, to ensure the voice of 2G networks
Quality.In this way, it is how quick, effectively, accurately find hot spot in cellular network, become currently face it is most important
Problem.
At present, the solution method for finding the hot spot in cellular network is by traffic statistic or other data, identification
Go out high flow capacity cell, then in these high flow capacity cell deployments WLAN.
Defect existing in the prior art at least that：By identifying the cell-level analysis method of high flow capacity cell, not only
So that the granularity of WLAN deployment is thicker, and the hot spot found may not be real hot spot, cause " hot charging is colod-application ".
The content of the invention
In view of this, the embodiment of the present invention provides a kind of method and device for obtaining WLAN deployment information, with more
Effectively the business of hot spot region is shunted.
In a first aspect, the embodiment of the present invention provides a kind of method for obtaining WLAN deployment information, including：
Cell WLAN precise deployment WDA tables and grid flowmeter are obtained, the cell WDA tables include different small
The cell WDA fractions in area, the grid flowmeter include the grid flow of different grids, and the grid covers for the different districts
The local geographic location area of lid；
According to the grid flow of the cell WDA fractions of the different districts and the different grids automatically combine and sentence
Certainly, hot spot grid is obtained；
WLAN deployment information is obtained according to the hot spot grid, to realize the deployment of WLAN.
With reference to first aspect, in the first possible implementation of first aspect, grid flowmeter is obtained, including：
Obtain packet switch measurement report PS MR；
According to the PS MR by corresponding data service flow carry out geographical location on positioning, obtain in different grids
Data service flow；
Alternatively, including：
Obtain circuit switching measurement report CS MR；
The CS MR are subjected to the positioning on geographical location, obtain the quantity of the CS MR in different grids；
Alternatively, including：
Different atural object weights is set according to terrestrial object information in each cell coverage area and cell；
According to the atural object weight of setting by the data service traffic sharing of each cell on the different atural object, obtain
To the data service flow in different grids.
The possible implementation of with reference to first aspect the first, in second of possible implementation of first aspect
In, circuit switching measurement report CS MR are obtained, including：
Obtain the data source for being associated together the CS MR and international mobile subscriber identity IMSI；
PS any active ues are identified according to the data transmitted on ticket or Gb Interface；
The quantity of the CS MR of the PS any active ues is obtained according to the data source；
Or including：
Obtain the quantity of the CS MR in PS active cells.
With reference to first aspect or its first or second of possible implementation, in the third possible reality of first aspect
In existing mode, according to the grid flow of the cell WDA fractions of the different districts and the different grids automatically combine and sentence
Certainly, hot spot grid is obtained, including：
According to the cell WDA fractions of the different districts and the grid flow of the different grids, the grid of each grid are obtained
Lattice WDA fractions；
Hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow.
The third possible implementation with reference to first aspect, in the 4th kind of possible implementation of first aspect
In, hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow, including：
Top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow is the grid of the preceding n grid flow after the grid flow of each grid arranges from big to small as hot spot
Grid, wherein, N and n are natural number；
Alternatively, hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow, including：
The grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow arranged from big to small for the grid flow of each grid after preceding n1 grid flow grid, form the
One candidate's hot spot grid set；
After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, stream
The grid flow measured as each grid arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot
Grid set；
By the grid WDA of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Fraction and the normalization of grid flow, obtain in the first candidate hot spot grid set and the second candidate hot spot grid set
The normalization grid WDA fractions and normalization grid flow of each grid；
According to each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Grid WDA fractions and normalization grid flow are normalized, obtains the first candidate hot spot grid set and second candidate
The weighted sum of each grid in hot spot grid set；
It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum
The weighted sum of lattice arrange from big to small after preceding M weighted sum grid as hot spot grid.
Second aspect, the embodiment of the present invention provide a kind of device for obtaining WLAN deployment information, including：
Table acquiring unit, for obtaining cell WLAN precise deployment WDA tables and grid flowmeter, the cell
WDA tables include the cell WDA fractions of different districts, and the grid flowmeter includes the grid flow of different grids, the grid
For the local geographic location area of different districts covering；
Decision unit, for the cell WDA fractions of different districts obtained according to the table acquiring unit and the difference
The grid flow of grid carries out automatic cascading judgement, obtains hot spot grid；
Deployment information acquiring unit, the hot spot grid for being obtained according to the decision unit obtain WLAN deployment information,
To realize the deployment of WLAN.
With reference to second aspect, in the first mode in the cards of second aspect, the table acquiring unit includes：
First report acquisition subelement, for obtaining packet switch measurement report PS MR；
First flow obtains subelement, and the PS MR for being obtained according to the first report acquisition subelement will be corresponding
Data service flow carries out the positioning on geographical location, obtains the data service flow in different grids；
Alternatively, the table acquiring unit includes：
Second report acquisition subelement, for obtaining circuit switching measurement report CS MR；
Quantity obtains subelement, and the CS MR for the second report acquisition subelement to be obtained carry out geographical location
Positioning, obtain the quantity of the CS MR in different grids；
Alternatively, the table acquiring unit includes：
Weight sets subelement, for setting different ground property rights according to terrestrial object information in each cell coverage area and cell
Weight；
Second flow obtains subelement, and the atural object weight for setting subelement to set according to the weight will be described each small
The data service traffic sharing in area obtains the data service flow in different grids on the different atural object.
With reference to the first possible implementation of second aspect, in second of possible implementation of second aspect
In, the second report acquisition subelement includes：
Source obtains subelement, for obtaining be associated together the CS MR and international mobile subscriber identity IMSI
Data source；
User identifies subelement, for identifying PS any active ues according to the data transmitted on ticket or Gb Interface；
3rd report acquisition subelement, the data source for obtaining subelement acquisition according to the source obtain the PS and enliven
The quantity of the CS MR of user；
Or the second report acquisition subelement includes：
4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cells.
With reference to second aspect or its first or second of possible implementation, in the third possible reality of second aspect
In existing mode, the decision unit includes：
Grid fraction obtains subelement, for the cell WDA fractions according to the different districts and the different grid
Grid flow, obtains the grid WDA fractions of each grid；
Hot spot grid obtains subelement, for obtaining the grid for each grid that subelement obtains according to the grid fraction
WDA fractions and the grid flow obtain hot spot grid.
With reference to the third possible implementation of second aspect, in the 4th kind of possible implementation of second aspect
In, the hot spot grid obtains subelement and is specifically used for：
Top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow is the grid of the preceding n grid flow after the grid flow of each grid arranges from big to small as hot spot
Grid, wherein, N and n are natural number；
It is specifically used for alternatively, the hot spot grid obtains subelement：
The grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow arranged from big to small for the grid flow of each grid after preceding n1 grid flow grid, form the
One candidate's hot spot grid set；
After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, stream
The grid flow measured as each grid arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot
Grid set；
By the grid WDA of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Fraction and the normalization of grid flow, obtain in the first candidate hot spot grid set and the second candidate hot spot grid set
The normalization grid WDA fractions and normalization grid flow of each grid；
According to each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Grid WDA fractions and normalization grid flow are normalized, obtains the first candidate hot spot grid set and second candidate
The weighted sum of each grid in hot spot grid set；
It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum
The weighted sum of lattice arrange from big to small after preceding M weighted sum grid as hot spot grid.
The method and device for the acquisition WLAN deployment information that above-described embodiment provides, by obtaining the wireless office of cell
Domain net precise deployment WDA tables and grid flowmeter, cell-level analysis and lattice level analysis are combined, obtain WLAN deployment
Information, so as to provide more fine-grained WLAN precise deployments information, can not only be quickly found out hot spot in network, solve existing
There is the problem of technology can not find " hot spot " or " hot spot is not warm ".
Brief description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly introduced, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this
For the those of ordinary skill in field, without having to pay creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is the flow chart of the method for acquisition WLAN deployment information provided by one embodiment of the present invention；
Fig. 2 is to obtain cell in the method for the acquisition WLAN deployment information that another embodiment of the present invention provides
The flow chart of WDA tables
Fig. 3 is the flow chart of the method for the acquisition WLAN deployment information that another embodiment of the present invention provides.
Fig. 4 is that lattice level is analyzed in the method for obtaining WLAN deployment information that another embodiment of the present invention provides
Flow chart；
Fig. 5 is to combine to sentence automatically in the method for the acquisition WLAN deployment information that another embodiment of the present invention provides
Certainly flow chart；
Fig. 6 is the structural representation of the device for the acquisition WLAN deployment information that another embodiment of the present invention provides
Figure.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearer, the present invention is made below in conjunction with attached drawing into
One step it is described in detail, it is clear that the described embodiment only a part of embodiment of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, those of ordinary skill in the art are obtained without making creative work
All other embodiment, belongs to the scope of protection of the invention.
Fig. 1 is the flow chart of the method for acquisition WLAN deployment information provided by one embodiment of the present invention.This reality
Apply in example, obtaining the method for WLAN deployment information includes：
Step 11, obtain cell WLAN precise deployment（WLAN Deployment Accuracy, WDA）Table and
Grid flowmeter, cell WDA tables include the cell WDA fractions of different districts, and grid flowmeter includes the grid stream of different grids
Amount, wherein, grid is the local geographic location area of different districts covering.
Such as a square or school are divided into many zonules, each zonule may be considered a grid, often
It may be covered on a grid by multiple cells.The speech business telephone traffic or data service flow occurred in a grid,
It can be seen as the flow of the grid.Therefore, grid flowmeter is obtained, it may include：
Obtain packet switch measurement report（Packet Switch Measurement Report, PS MR）；
According to the PS MR by corresponding data service flow carry out geographical location on positioning, obtain in different grids
Data service flow.Such as from base station controller（Base Station Controller, BSC）Terminal A is obtained in geographical position
The PS MR sent at X are put, at this point it is possible to which the data service flow produced on the terminal A obtained by traffic statistics data source is positioned
To the geographical location X where terminal A.
Alternatively, when PS any active ues are with the aggregation of generation CS consistent the aggregation of PS occurs, grid flowmeter is obtained,
It may include：
Obtain circuit switching measurement report（Circuit Switch Measurement Report, CS MR）；
CS MR are subjected to the positioning on geographical location, obtain the quantity of the CS MR in different grids, so as to obtain not
In the case of PS MR, by obtaining the telephone traffic in grid with finding the possible aggregation of PS any active ues generation PS.Its
In, the quantity representative speech business telephone traffic of CS MR, and one kind of grid flow.The aggregation of CS occurs in PS any active ues
WLAN is disposed on ground, can allow and users of the PS and CS on same aggregation ground occurs by WLAN progress PS business, reach shunting function；
Operator can also be helped to shunt away the user of potential flow hot spot；It may also help in operator development PS user.
Alternatively, obtain grid flowmeter, it may include：
Different atural object weights is set according to terrestrial object information in each cell coverage area and cell；
According to the atural object weight of setting by the data service traffic sharing of each cell on different atural object, obtain different grid
Data service flow in lattice.
Wherein, obtaining CS MR may include：
Obtain the CS MR and international mobile subscriber identity（International Mobile Subscriber
Identity, IMSI）The data source being associated together；
PS any active ues are identified according to the data transmitted on ticket or Gb Interface；
The CS MR quantity i.e. telephone traffic of the PS any active ues is obtained according to the data source.
Alternatively, obtaining CS MR may include：
Obtain the quantity of the CS MR in PS active cells.
The process for obtaining grid flowmeter refers to Fig. 4 and its explanation.Wherein, PS MR, CS MR, traffic statistics data source etc. can be with
Obtained from BSC, mirror back-up obtains, etc. on link that can also be between BSC and core-network side.
Cell WDA tables can be obtained by the flow shown in Fig. 2, be specifically included：
Step 21, the service feature to cell are analyzed, and obtain service feature analysis result.
Step 22, user behavior, terminal capability to cell are analyzed, and obtain client analysis result.
Step 23, cell-level comprehensive analysis.By establishing WDA models, using the analysis result of step 21 and step 22 as
The input of WDA models, cell WDA fractions are obtained by WDA models.
WDA models are by three Composition of contents such as index, thresholding and decision condition, weight and score calculating.Index is candidate
Multiple data statistics items in region, such as wireless network utilization, the terminal permeability for supporting Wi-Fi.In the WDA of the present embodiment
In model, index can be classified as three classes：Service class, user behavior class and terminal permeability class.The tool listed in table 1 as described below
The data statistics item of body, data statistics item in practical operation can be complete or collected works' either subset or actual according to existing net of table 1
Situation carries out certain extension.
Need to set thresholding for each index, decision condition includes being more than, be greater than or equal to, be less than and being less than or wait
In.Only when index meets decision condition, which can just contribute final WDA fractions.
The value of thresholding needs to have certain flexibility, and the convenient net that shows is adjusted according to actual conditions to adapt to difference
Scene requirement.（The method that table 1 takes opposite value, such as majority parameters take 1.2 times of the whole network plot mean）.
Thresholding needs to be used together with reference to score weight.
Also, need to set weight, when certain index meets decision condition, (index/thresholding) for each index
× score weight=index the score.The value of weight needs to have certain flexibility, can just can bear, and the convenient net that shows is according to reality
Border situation is adjusted to adapt to different scene requirements.
All indexs collect score=WDA fractions.
WDA model instances are as shown in table 1 below：
Table 1
Step 12, according to the grid flow of the cell WDA fractions of different districts and different grids carry out automatic cascading judgement,
Obtain hot spot grid.
Specifically, the grid of each grid can be obtained according to the cell WDA fractions of different districts and the grid flow of different grids
Lattice WDA fractions；
Hot spot grid is obtained according to the grid WDA fractions of each grid and grid flow.For example, it is grid WDA by WDA fractions
Fraction arrange from big to small after top n grid WDA fractions grid in, flow for grid flow arrange from big to small after before
The grid of n grid flow as hot spot grid, wherein, N and n are natural number.Assuming that have grid C1, grid C2, grid C3,
Grid C4, grid C5 and grid C6 totally 6 grids, wherein, the WDA fractions of grid C1 are c11, grid flow is c12, grid C2
WDA fractions be c21, grid flow be c22, the WDA fractions of grid C3 are c31, grid flow is c32, WDA points of grid C4
Number is c41, grid flow is c42, and the WDA fractions of grid C5 are c51, grid flow is c52, and the WDA fractions of grid C6 are
C61, grid flow are c62.Order after the WDA fractions of 6 grids arrange from big to small is：c31、c21、c61、c41、c11、
c51.And assume N=5, n=3, then choose from grid C3, C2, C6, C4 and C1 that WDA fractions are c31, c21, c61, c41, c11
Grid flow comes the grid of first 3 as hot spot grid, it is assumed that in grid C3, C2, C6, C4 and C1, grid C3, C4 and C1's
Grid flow is both greater than the grid flow of grid C2 and grid C6, then grid C3, C4 and C1 is hot spot grid.
Again as shown in figure 5, can by WDA fractions for each grid grid WDA fractions arrange from big to small after preceding p1% grid
In the grid of WDA fractions, flow for each grid grid flow arrange from big to small after preceding n1 grid flow grid, group
Into first candidate's hot spot grid set；
After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, flow is
The grid flow of each grid arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot grid collection
Close；
By the grid WDA fractions and grid of each grid in first candidate's hot spot grid set and second candidate's hot spot grid set
Lattice flow normalizes, and obtains the normalization grid of each grid in first candidate's hot spot grid set and second candidate's hot spot grid set
Lattice WDA fractions and normalization grid flow；
According to the normalization grid WDA of each grid in first candidate's hot spot grid set and second candidate's hot spot grid set
Fraction and normalization grid flow, obtain each grid in first candidate's hot spot grid set and second candidate's hot spot grid set
Weighted sum；
It is by the weighting of each grid in first candidate's hot spot grid set and second candidate's hot spot grid set by weighted sum
The grid of preceding M weighted sum after arranging from big to small is as hot spot grid.
Step 13, according to hot spot grid obtain WLAN deployment information, so as to according to WLAN deployment information realization WLAN
Deployment.For example, hot spot grid can be associated with building with reference to numerical map, so as to obtain the building for being adapted to deployment WLAN
Thing information, and then WLAN is disposed according to building information, shunted to cover the cell of hot spot grid.WLAN deployment information is also
Can be adapted to dispose the park of WLAN, forest, greenery patches information etc..
The method provided in this embodiment for obtaining WLAN deployment information, by obtaining cell WDA tables and grid
Flowmeter, and automatic cascading judgement is carried out according to cell WDA fractions therein and grid flow, hot spot grid is obtained, according to heat
Point grid obtains WLAN deployment information so that the deployment granularity of WLAN is reduced to grid from cell, has refined the deployment grain of WLAN
Degree, solving the problems, such as the prior art, hot spot is not warm caused by granularity is relatively thick and WLAN deployment is inaccurate, is conducive to improve
The accuracy of WLAN deployment.
Fig. 3 is the flow chart of the method for the acquisition WLAN deployment information that another embodiment of the present invention provides.This
Embodiment is by taking GSM standards as an example, by WDA model realizations to Zone performance, terminal, user behavior comprehensive analysis, to obtain
The form divided provides the priority of cell deployment WLAN, then carries out lattice level analysis according to the data source that can be got, passes through
Automatic cascading judgement algorithm provides grid score, and it is hot spot grid to filter out the high grid of score, and associates building and provide and build
The building of view deployment WLAN.
Specifically, obtaining the method for WLAN deployment information includes：
Step 31, carry out cell-level analysis acquisition cell WDA tables, carries out lattice level analysis and obtains grid flowmeter.
As shown in Fig. 2, cell-level analysis is by the technology such as business identification and terminal capability identification, to the business of cell
The comprehensive analysis that the three big latitude such as energy, user behavior, terminal capability carries out, and by WDA models, provide the WDA of each cell
Fraction.Wherein, three big latitudes can be further subdivided into cell flow, wifi terminals etc..
The embodiment of the present invention is not limited to above-mentioned realize the comprehensive analysis to cell-level with WDA models；The synthesis of cell-level
Data source used in analysis is also not necessarily limited to traffic statistics, packet switched call historical record（Packet Switch Call
History Record, PS CHR）The data either transmitted on ticket or Gb Interface, as long as WDA indices can be calculated
.Wherein, other systems such as statistics, the congestion ratio of network and throughput including speech business telephone traffic of traffic statistics data source
Count, interface of the Gb Interface between SGSN and BSS.The index of WDA includes wireless resource utility efficiency, busy data service stream
Amount, data traffic channels load-carrying efficiency, congestion ratio, resources occupation rate, low value flow business proportion, the use using wifi mobile phones
The average discharge at family and data card ratio etc..
Lattice level analysis is by speech business telephone traffic or data industry by location technology or atural object rasterizing scheduling algorithm
Business flow navigates to grid, then calculates speech business telephone traffic or data service flow in each grid.
Specifically, lattice level analysis as shown in figure 4, including：
Step 41, judge whether that PS MR can be obtained, if PS MR can be obtained, performs step 42, otherwise, performs step
43。
Step 42, in the case where PS MR can be obtained, statistics PS MR send terminal when sending PS MR at place
The data service flow produced on geographical location, performs step 45.
Step 43, in the case where PS MR can not be obtained, judge whether that CS MR can be obtained, if CS MR can be obtained,
Then perform step 44；Otherwise, step 46 is performed.
Step 44, in the case of CS MR can be obtained, if it is possible to obtain CS MR and international mobile subscriber identity
（International Mobile Subscriber Identification Number, IMSI）The data being associated
Source（Such as CS CHR）, then PS any active ues are identified according to the data transmitted on ticket or Gb Interface, then by CS CHR and CS
MR is associated the CS MR for finding PS any active ues, then performs step 45.Since per call has a call identification,
The call identification can be recorded in CS MR with CS CHR, can be closed CS CHR and CS MR by call identification
Connection.Wherein, PS any active ues use frequent and/or big PS service traffics user for PS business.
If the data source for being associated IMSI and CS MR can not be obtained, the CS MR in PS active cells are counted
Quantity.Wherein, PS active cells are that PS service traffics are big and/or PS business initiates frequent cell.
Step 45, carry out MR positioning.When acquisition be PS MR when, according to PS MR location technologies, by the data industry of statistics
Business flow is navigated in grid, calculates the data service flow i.e. grid flow in each grid；When acquisition be CS MR when,
Then according to CS MR location technologies, CS MR are navigated in grid, the CS MR quantity i.e. grid stream in each grid is calculated
Amount.
Step 46, base area property rights weight rasterizing data service flow.In the case where PS MR and CS MR can not be obtained,
According to the terrestrial object information in cell coverage area and cell, differently property rights weight is set, will be talked about according to the atural object weight of setting
Inside data source of uniting then the data service traffic sharing of the cell of record counts the data industry in grid on different atural object
Business flow.
Wherein, atural object can be building, park, forest, greenery patches etc..Such as the weight of building is 10, the power in park
Weight is 2, the weight of forest is 0, the weight in greenery patches is 0.1.Assuming that the data service flow of cell A is a, the data industry of cell B
Business flow is b, and, cell A and cell B cover building, park, forest and greenery patches, then the data in construction zone
Service traffics=10（a+b）Data service flow=2 in/(10+2+0+0.1) park areas（a+b）/ (10+2+0+0.1), it is gloomy
Data service flow in the domain of forest zone is 0, data service flow=0.1 in the region of greenery patches（a+b）/(10+2+0+0.1).If build
Build thing, park, forest and greenery patches and be divided into two grids of grid C and grid D, wherein, building belongs to grid C, park, gloomy
Woods and greenery patches belong to grid D, then the grid flow of grid C is 10（a+b）/ (10+2+0+0.1), grid D=(2+0.1)（a+b）/
(10+2+0+0.1)。
Step 32, carry out automatic cascading judgement.Automatic cascading judgement algorithm is to utilize cell-level analysis and lattice level analysis
As a result, obtaining hot spot grid or candidate's hot spot grid by cascading judgement algorithm.The algorithm and the data source obtained are unrelated, only
It is related with the result of lattice level analysis with cell-level analysis, as shown in figure 5, including：
Step 51, computation grid WDA fractions WDABin.
Specifically,
Wherein, WDABinFor the WDA fractions of a certain grid, TrafficcelliFor i cells fall into the grid flow and,
TrafficBinFor the flow and WDA of all cells in the gridcell_iFor the WDA fractions of i cells, i.e., with each small in the grid
The accounting of area's flow is weight, and weighted sum obtains.Assuming that there is M grid, then need to calculate each grid in the M grid
WDA fractions, M grid WDA fraction is obtained.
Step 52, screening WDABinThe grid of middle TOP p1% and TOP p2~p1%.
Say in general sense, the higher cell of WDA fractions, the shunting effect of WLAN is better, but some WDA fractions it is not high but
There are the cell of PS hot spots, it is also desirable to WLAN shunt, so Hot Spot considers two categories below cell：The high cell of WDA fractions,
Or the cell that WDA fractions are not high but data service flow possibility is larger.
Based on above-mentioned two classes cell, the hot spot screening of high WDA fractions cell includes：In WDABinThe grid of fraction TOP P1%
It is interior, screen TrafficBinThe grid of numerical value TOP N1 forms first candidate's hot spot gridTOP P1% refer to grid
After lattice WDA fractions are arranged in order from big to small, the grid of P1% of total grid number will be accounted for since first grid WDA fraction
The corresponding grid of WDA fractions is as candidate's hot spot grid
The hot spot screening of low WDA fractions cell includes：In WDABinIn the grid of fraction TOP P2%~TOP P1%, screening
TrafficBinThe grid of numerical value TOP N2 forms second candidate's hot spot grid
Assuming that have grid C1, grid C2, grid C3, grid C4, grid C5 and grid C6 totally 6 grids, wherein, grid C1
WDA fractions be c1, the WDA fractions of grid C2 are c2, and the WDA fractions of grid C3 are c3, and the WDA fractions of grid C4 are c4, grid
The WDA fractions of lattice C5 are c5, and the WDA fractions of grid C6 are c6.Order after the WDA fractions of 6 grids arrange from big to small is：
c3、c2、c6、c4、c1、c5.If TOP P1% are TOP50%, the WDA fractions of TOP50% are c3, c2, c6, also, grid WDA
In the grid C6 that the grid C2 and grid WDA fractions that grid C3 that fraction is c3, grid WDA fractions are c2 are c6, grid C3's
Grid flow is c31, and the grid flow of grid C2 is c21, and the grid flow of grid C6 is c61, and c21>c31>C61, if TOP
N1 is TOP2, then chooses grid of the grid flow for the first two as first candidate's hot spot grid.Here, grid flow is c21
Grid 2 and grid flow be c31 grid 3 form first candidate's hot spot gridAssuming that TOP P2% are
TOP83.34%, then the WDA fractions of TOP P2%~TOP P1% are c4, c1, and therefore, grid WDA fractions are the grid C4 and grid of c4
Lattice WDA fractions are in the grid C1 of c1, and the grid flow of grid C4 is c41, and the grid flow of grid C1 is c11, and c11>
C41, if TOP N1 are TOP1, selection grid flow is the grid of first 1 as first candidate's hot spot grid.Here, grid
The grid 11 that flow is c11 forms second candidate's hot spot grid
Step 53, by WDABinNormalized with grid flow.
Candidate's hot spot grid set is
Normalize UBinIn each grid WDABinAnd TrafficBin：
Wherein,For the normalization grid flow of a certain grid,For returning for a certain grid
One changes grid WDA fractions.
Step 54, normalization grid flow and normalization grid WDA fraction selection hot spot grids according to each grid.Specifically
Ground, calculates the normalization grid flow of each grid and normalizes the weighted sum of grid WDA fractions：The grid of weighted sum TOP N is chosen as WLAN hot spot grid.
Assuming that have grid D1, grid D2, grid D3, grid D4, grid D5 and grid D6 totally 6 grids, wherein, the weighted sum of grid D1
For d1, the weighted sum of grid D2 is d2, and the weighted sum of grid D3 is d3, and the weighted sum of grid D4 is d4, the weighted sum of grid D5
For d5, the weighted sum of grid D6 is d6.Order after the weighted sum of 6 grids arranges from big to small is：d3、d2、d6、d4、d1、
d5.Assuming that TOP N are TOP3, then grid that grid D2 and weighted sum that weighted sum is d3 grid D3, weighted sum are d2 are d6
D6 is WLAN hot spot grid.
Wherein, α ∈ [0,1], is the weight of the normalization grid flow of a certain grid, and 1- α are the normalization grid of the grid
The weight of lattice WDA fractions, can set the attention degree of data service traffics dimension or WDA dimensions according to user by user
Put.
Step 33, by hot spot grid be associated with building, obtains WLAN deployment information.
Specifically, the hot spot grid that step 54 obtains can be directed to, and combines numerical map association building, is laid
Positional information.
Further, can also be according to point of interest（Point of interest, POI）Type obtains preferred building information, from
And dispose WLAN on preferable building.
The method for the acquisition WLAN deployment information that the present embodiment is provided by taking GSM standards as an example, by cell
The latitudes such as service feature analysis, terminal capability, user behavior carry out cell-level analysis and obtain cell WDA tables, and pass through grid
Level analysis obtains grid flowmeter, analysis result is obtained hot spot grid by automatic cascading judgement, and combine numerical map and close
Join building, obtain the building information for being adapted to deployment WLAN, WLAN is disposed so as to fulfill on hot spot grid, carried out for cell
Shunting.Not only so that the deployment granularity of WLAN is thinner, but also real hot spot can be found, service distributing is effectively performed.No
The WLAN precise deployments being only applicable under different scenes；And hot spot in network can be quickly found out, solution can not find " hot spot " or
" hot spot is not warm " situation, and provide more fine-grained WLAN precise deployments.
Fig. 6 is the structural representation of the device for the acquisition WLAN deployment information that another embodiment of the present invention provides
Figure.Device provided in this embodiment is used for realization the method in embodiment illustrated in fig. 1, including：Table acquiring unit 61, decision unit
62 and deployment information acquiring unit 63.
Table acquiring unit 61 is used to obtain cell WLAN precise deployment WDA tables and grid flowmeter, described small
Area's WDA tables include the cell WDA fractions of different districts, and the grid flowmeter includes the grid flow of different grids, the grid
Lattice are the local geographic location area of different districts covering.
Decision unit 62 be used for according to the table acquiring unit 61 obtain different districts cell WDA fractions and it is described not
Grid flow with grid carries out automatic cascading judgement, obtains hot spot grid.
The hot spot grid that deployment information acquiring unit 63 is used to be obtained according to the decision unit 62 obtains WLAN deployment letter
Breath, to realize the deployment of WLAN.
Further, the table acquiring unit 61 may include：
First report acquisition subelement, for obtaining packet switch measurement report PS MR；
First flow obtains subelement, and the PS MR for being obtained according to the first report acquisition subelement will be corresponding
Data service flow carries out the positioning on geographical location, obtains the data service flow in different grids；
Alternatively, the table acquiring unit 61 may include：
Second report acquisition subelement, for obtaining circuit switching measurement report CS MR；
Quantity obtains subelement, and the CS MR for the second report acquisition subelement to be obtained carry out geographical location
Positioning, obtain the quantity of the CS MR in different grids；
Alternatively, the table acquiring unit 61 may include：
Weight sets subelement, for setting different ground property rights according to terrestrial object information in each cell coverage area and cell
Weight；
Second flow obtains subelement, and the atural object weight for setting subelement to set according to the weight will be described each small
The data service traffic sharing in area obtains the data service flow in different grids on the different atural object.
Further, the second report acquisition subelement may include：
Source obtains subelement, for obtaining be associated together the CS MR and international mobile subscriber identity IMSI
Data source；
User identifies subelement, for identifying PS any active ues according to the data transmitted on ticket or Gb Interface；
3rd report acquisition subelement, the data source for obtaining subelement acquisition according to the source obtain the PS and enliven
The quantity of the CS MR of user；
Or the second report acquisition subelement includes：
4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cells.
Further, the decision unit may include：
Grid fraction obtains subelement, for the cell WDA fractions according to the different districts and the different grid
Grid flow, obtains the grid WDA fractions of each grid；
Hot spot grid obtains subelement, for obtaining the grid for each grid that subelement obtains according to the grid fraction
WDA fractions and the grid flow obtain hot spot grid.
Further, the hot spot grid obtains subelement and can be specifically used for：
Top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow is the grid of the preceding n grid flow after the grid flow of each grid arranges from big to small as hot spot
Grid, wherein, N and n are natural number；
It is specifically used for alternatively, the hot spot grid obtains subelement：
The grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow arranged from big to small for the grid flow of each grid after preceding n1 grid flow grid, form the
One candidate's hot spot grid set；
After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, stream
The grid flow measured as each grid arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot
Grid set；
By the grid WDA of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Fraction and the normalization of grid flow, obtain in the first candidate hot spot grid set and the second candidate hot spot grid set
The normalization grid WDA fractions and normalization grid flow of each grid；
According to each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Grid WDA fractions and normalization grid flow are normalized, obtains the first candidate hot spot grid set and second candidate
The weighted sum of each grid in hot spot grid set；
It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum
The weighted sum of lattice arrange from big to small after preceding M weighted sum grid as hot spot grid.
The device provided in this embodiment for obtaining WLAN deployment information is wireless by table acquiring unit acquisition cell
LAN precise deployment WDA tables and grid flowmeter, cell-level is analyzed tied with lattice level analysis by decision unit
Close, WLAN deployment information is obtained by deployment information acquiring unit, so that more fine-grained WLAN precise deployments information is provided,
Hot spot in network can be not only quickly found out, solves the problems, such as that the prior art can not find " hot spot " or " hot spot is not warm ".
The embodiment of the present invention gives a kind of computer program product, which includes computer-readable Jie
Matter, which includes first group of program code, for performing the step in method shown in above-mentioned Fig. 1：
Cell WLAN precise deployment WDA tables and grid flowmeter are obtained, the cell WDA tables include different small
The cell WDA fractions in area, the grid flowmeter include the grid flow of different grids, and the grid covers for the different districts
The local geographic location area of lid；
According to the grid flow of the cell WDA fractions of the different districts and the different grids automatically combine and sentence
Certainly, hot spot grid is obtained；
WLAN deployment information is obtained according to the hot spot grid, to realize the deployment of WLAN.
Alternatively, grid flowmeter is obtained, including：
Obtain packet switch measurement report PS MR；
According to the PS MR by corresponding data service flow carry out geographical location on positioning, obtain in different grids
Data service flow；
Alternatively, including：
Obtain circuit switching measurement report CS MR；
The CS MR are subjected to the positioning on geographical location, obtain the quantity of the CS MR in different grids；
Alternatively, including：
Different atural object weights is set according to terrestrial object information in each cell coverage area and cell；
According to the atural object weight of setting by the data service traffic sharing of each cell on the different atural object, obtain
To the data service flow in different grids.
Alternatively, circuit switching measurement report CS MR are obtained, including：
Obtain the data source for being associated together the CS MR and international mobile subscriber identity IMSI；
PS any active ues are identified according to the data transmitted on ticket or Gb Interface；
The quantity of the CS MR of the PS any active ues is obtained according to the data source；
Or including：
Obtain the quantity of the CS MR in PS active cells.
Alternatively, carried out according to the grid flow of the cell WDA fractions of the different districts and the different grids automatic
Cascading judgement, obtains hot spot grid, including：
According to the cell WDA fractions of the different districts and the grid flow of the different grids, the grid of each grid are obtained
Lattice WDA fractions；
Hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow.
Alternatively, hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow, including：
Top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow is the grid of the preceding n grid flow after the grid flow of each grid arranges from big to small as hot spot
Grid, wherein, N and n are natural number；
Alternatively, hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow, including：
The grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid
In grid, flow arranged from big to small for the grid flow of each grid after preceding n1 grid flow grid, form the
One candidate's hot spot grid set；
After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, stream
The grid flow measured as each grid arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot
Grid set；
By the grid WDA of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Fraction and the normalization of grid flow, obtain in the first candidate hot spot grid set and the second candidate hot spot grid set
The normalization grid WDA fractions and normalization grid flow of each grid；
According to each grid in the first candidate hot spot grid set and the second candidate hot spot grid set
Grid WDA fractions and normalization grid flow are normalized, obtains the first candidate hot spot grid set and second candidate
The weighted sum of each grid in hot spot grid set；
It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum
The weighted sum of lattice arrange from big to small after preceding M weighted sum grid as hot spot grid.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above-mentioned each method embodiment can lead to
The relevant hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey
Sequence upon execution, execution the step of including above-mentioned each method embodiment；And foregoing storage medium includes：ROM, RAM, magnetic disc or
Person's CD etc. is various can be with the medium of store program codes.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution described in foregoing embodiments, either to which part or all technical characteristic into
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (10)
- A kind of 1. method for obtaining WLAN WLAN deployment information, it is characterised in that including：Cell WLAN precise deployment WDA tables and grid flowmeter are obtained, the cell WDA tables include different districts Cell WDA fractions, the grid flowmeter include the grid flow of different grids, and the grid is different districts covering Local geographic location area；The cell WDA fractions are the service class of cell, user behavior class and terminal permeability class three classes Index collects score；Automatic cascading judgement is carried out according to the grid flow of the cell WDA fractions of the different districts and the different grids, is obtained To hot spot grid；WLAN deployment information is obtained according to the hot spot grid, to realize the deployment of WLAN.
- 2. method according to claim 1, it is characterised in that grid flowmeter is obtained, including：Obtain packet switch measurement report PS MR；According to the PS MR by corresponding data service flow carry out geographical location on positioning, obtain the number in different grids According to service traffics；Alternatively, including：Obtain circuit switching measurement report CS MR；The CS MR are subjected to the positioning on geographical location, obtain the quantity of the CS MR in different grids；Alternatively, including：Different atural object weights is set according to terrestrial object information in each cell coverage area and cell；According to the atural object weight of setting by the data service traffic sharing of each cell on the different atural object, obtain not With the data service flow in grid.
- 3. method according to claim 2, it is characterised in that circuit switching measurement report CS MR are obtained, including：Obtain the data source for being associated together the CS MR and international mobile subscriber identity IMSI；PS any active ues are identified according to the data transmitted on ticket or Gb Interface；The quantity of the CS MR of the PS any active ues is obtained according to the data source；Or including：Obtain the quantity of the CS MR in PS active cells.
- 4. according to any one of claim 1-3 the method, it is characterised in that according to the cell WDA fractions of the different districts Automatic cascading judgement is carried out with the grid flow of the different grids, obtains hot spot grid, including：According to the cell WDA fractions of the different districts and the grid flow of the different grids, the grid WDA of each grid is obtained Fraction；Hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow.
- 5. method according to claim 4, it is characterised in that according to the grid WDA fractions of each grid and the grid Flow obtains hot spot grid, including：The grid of top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid In, flow arranged from big to small for the grid flow of each grid after preceding n grid flow grid as hot spot grid, Wherein, N and n is natural number；Alternatively, hot spot grid is obtained according to the grid WDA fractions of each grid and the grid flow, including：The grid of the grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid In, flow is the grid of the preceding n1 grid flow after the grid flow of each grid arranges from big to small, and composition first is waited Select hot spot grid set；After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, flow For each grid grid flow arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot grid Lattice set；By the grid WDA fractions of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set Normalized with grid flow, obtain each grid in the first candidate hot spot grid set and the second candidate hot spot grid set The normalization grid WDA fractions and normalization grid flow of lattice；According to the normalizing of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set Change grid WDA fractions and normalization grid flow, obtain the first candidate hot spot grid set and the second candidate hot spot The weighted sum of each grid in grid set；It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum Weighted sum arrange from big to small after preceding M weighted sum grid as hot spot grid.
- A kind of 6. device for obtaining WLAN WLAN deployment information, it is characterised in that including：Table acquiring unit, for obtaining cell WLAN precise deployment WDA tables and grid flowmeter, the cell WDA Table includes the cell WDA fractions of different districts, and the grid flowmeter includes the grid flow of different grids, and the grid is institute State the local geographic location area of different districts covering；The cell WDA fractions are service class, user behavior class and the end of cell That holds the index of permeability class three classes collects score；Decision unit, for the cell WDA fractions of different districts obtained according to the table acquiring unit and the different grids Grid flow carry out automatic cascading judgement, obtain hot spot grid；Deployment information acquiring unit, the hot spot grid for being obtained according to the decision unit obtains WLAN deployment information, with reality The deployment of existing WLAN.
- 7. device according to claim 6, it is characterised in that the table acquiring unit includes：First report acquisition subelement, for obtaining packet switch measurement report PS MR；First flow obtains subelement, for according to the PS MR that the first report acquisition subelement obtains by corresponding data Service traffics carry out the positioning on geographical location, obtain the data service flow in different grids；Alternatively, the table acquiring unit includes：Second report acquisition subelement, for obtaining circuit switching measurement report CS MR；Quantity obtains subelement, and the CS MR for the second report acquisition subelement to be obtained determine on geographical location Position, obtains the quantity of the CS MR in different grids；Alternatively, the table acquiring unit includes：Weight sets subelement, for setting different atural object weights according to terrestrial object information in each cell coverage area and cell；Second flow obtains subelement, for setting the atural object weight that subelement is set by each cell according to the weight Data service traffic sharing obtains the data service flow in different grids on the different atural object.
- 8. device according to claim 7, it is characterised in that the second report acquisition subelement includes：Source obtains subelement, for obtaining the data for being associated together the CS MR and international mobile subscriber identity IMSI Source；User identifies subelement, for identifying PS any active ues according to the data transmitted on ticket or Gb Interface；3rd report acquisition subelement, the data source for obtaining subelement acquisition according to the source obtain the PS any active ues CS MR quantity；Or the second report acquisition subelement includes：4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cells.
- 9. according to any one of claim 6-8 described device, it is characterised in that the decision unit includes：Grid fraction obtains subelement, for the cell WDA fractions according to the different districts and the grid of the different grids Flow, obtains the grid WDA fractions of each grid；Hot spot grid obtains subelement, for obtaining WDA points of the grid for each grid that subelement obtains according to the grid fraction Number and the grid flow obtain hot spot grid.
- 10. device according to claim 9, it is characterised in that the hot spot grid obtains subelement and is specifically used for：The grid of top n grid WDA fractions after WDA fractions are arranged from big to small for the grid WDA fractions of each grid In, flow arranged from big to small for the grid flow of each grid after preceding n grid flow grid as hot spot grid, Wherein, N and n is natural number；It is specifically used for alternatively, the hot spot grid obtains subelement：The grid of the grid WDA fractions of preceding p1% after WDA fractions are arranged from big to small for the grid WDA fractions of each grid In, flow is the grid of the preceding n1 grid flow after the grid flow of each grid arranges from big to small, and composition first is waited Select hot spot grid set；After WDA fractions are arranged from big to small for the grid WDA fractions of each grid in the grid of preceding p2%~p1%, flow For each grid grid flow arrange from big to small after preceding n2 grid flow grid, form second candidate's hot spot grid Lattice set；By the grid WDA fractions of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set Normalized with grid flow, obtain each grid in the first candidate hot spot grid set and the second candidate hot spot grid set The normalization grid WDA fractions and normalization grid flow of lattice；According to the normalizing of each grid in the first candidate hot spot grid set and the second candidate hot spot grid set Change grid WDA fractions and normalization grid flow, obtain the first candidate hot spot grid set and the second candidate hot spot The weighted sum of each grid in grid set；It is by each grid in the first candidate hot spot grid set and the second candidate hot spot grid set by weighted sum Weighted sum arrange from big to small after preceding M weighted sum grid as hot spot grid.
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| CN104581743B (en) * | 2015-01-04 | 2018-06-26 | 中国联合网络通信集团有限公司 | A kind of method and device for realizing WLAN deployment |
| CN107371171A (en) * | 2016-05-12 | 2017-11-21 | 中兴通讯股份有限公司 | A kind of method and device of region clustering |
| CN108200584B (en) * | 2016-12-08 | 2021-08-31 | 中国移动通信集团四川有限公司 | Screening method and device for WLAN (Wireless local area network) station to be built |
| CN106900004B (en) * | 2017-03-14 | 2019-11-19 | 上海奕行信息科技有限公司 | The method for being associated with LTE network wireless measurement report MR record ownership IMSI number |
| CN107872808B (en) * | 2017-09-26 | 2020-09-08 | 中通服建设有限公司 | WLAN station address prediction analysis method and device |
| CN115379471A (en) * | 2021-05-18 | 2022-11-22 | 华为技术有限公司 | Flow determination quantitative statistics method and device for obtaining results |
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