CN104244446A - Method and device for obtaining deployment information of wireless local area network - Google Patents

Abstract

The invention provides a method and device for obtaining deployment information of a wireless local area network. The method includes the steps that a cell WLAN deployment accuracy (WDA) table and a grid traffic table are obtained, the cell WDA table includes cell WDA grades of different cells, the grid traffic table includes grid traffics of different grids, and the grids are partial geographical location areas covered with the different cells; automatic joint judgment is carried out according to the cell WDA grades of the different cells and the grid traffics of the different grids to obtain hotspot grids; WLAN deployment information is obtained according to the hotspot grids so that the WLAN can be deployed. The cell WDA table and the grid traffic table are obtained, cell-level analysis is combined with grid-level analysis, hotspots in the network can be quickly found, the problem that hotspots cannot be found or hotspots are not popular in the prior art is solved, and the finely grained WLAN accurate deployment information is provided.

Description

Obtain method and the device of WLAN (wireless local area network) deployment information

Technical field

The present invention relates to the communication technology, particularly relate to a kind of method and the device that obtain WLAN (wireless local area network) deployment information.

Background technology

Along with the development of communication network, mobile phone terminal is more and more used to online, accelerates the development of data service, but, also have impact on the voice quality of the speech business of the second generation (second Generation, 2G) network simultaneously.

In order to can effectively by data service from global system for mobile telecommunications (Global System for Mobile Communications, GSM) shunt away in net, WLAN (wireless local area network) (Wireless Local Area Networks, effectively supplementing WLAN) as cellular network, data service on radio honeycomb community is shunted, to ensure the voice quality of 2G network.Like this, how can find the focus in cellular network fast, effectively, accurately, become the current topmost problem faced.

At present, find the solution of the focus in cellular network to be by traffic statistic or other data, identify high flow capacity community, then at these high flow capacities cell deployment WLAN.

The defect that prior art exists at least is: by identifying the cell-level analytical method of high flow capacity community, not only make the granularity of WLAN deployment comparatively thick, and the focus found may not be real focus, causes " hot charging is colod-application ".

Summary of the invention

In view of this, the embodiment of the present invention provides a kind of method and the device that obtain WLAN (wireless local area network) deployment information, more effectively to shunt the business of hot spot region.

First aspect, the embodiment of the present invention provides a kind of method obtaining WLAN (wireless local area network) deployment information, comprising:

Obtain community WLAN (wireless local area network) precise deployment WDA to show and grid flowmeter, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers;

Carry out automatic cascading judgement according to the community WDA mark of described different districts and the grid flow of described different grid, obtain focus grid;

WLAN deployment information is obtained, to realize the deployment of WLAN according to described focus grid.

In conjunction with first aspect, in the first possible implementation of first aspect, obtain grid flowmeter, comprising:

Obtain packet switching measurement report PS MR;

According to described PS MR corresponding data service flow carried out the location on geographical position, obtain the data service flow in different grid;

Or, comprising:

Acquisition cuicuit exchanges measurement report CS MR;

Described CS MR is carried out the location on geographical position, obtain the quantity of the CS MR in different grid;

Or, comprising:

According to terrestrial object information in each cell coverage area and community, different atural object weights is set;

The data service flow of described each community is shared on described different atural object by the atural object weight according to arranging, and obtains the data service flow in different grid.

In conjunction with the first possible implementation of first aspect, in the implementation that the second of first aspect is possible, acquisition cuicuit exchanges measurement report CS MR, comprising:

Obtain the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

According to the data identification PS any active ues that ticket or Gb Interface transmit;

The quantity of the CS MR of described PS any active ues is obtained according to described data source;

Or comprise:

Obtain the quantity of the CS MR in PS active cell.

In conjunction with first aspect or its first or the possible implementation of the second, in the third possible implementation of first aspect, carry out automatic cascading judgement according to the community WDA mark of described different districts and the grid flow of described different grid, obtain focus grid, comprising:

According to the community WDA mark of described different districts and the grid flow of described different grid, obtain the grid WDA mark of each grid;

Focus grid is obtained according to the grid WDA mark of described each grid and described grid flow.

In conjunction with the third possible implementation of first aspect, in the 4th kind of possible implementation of first aspect, obtain focus grid according to the grid WDA mark of described each grid and described grid flow, comprising:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, obtain focus grid according to the grid WDA mark of described each grid and described grid flow, comprising:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.

Second aspect, the embodiment of the present invention provides a kind of device obtaining WLAN (wireless local area network) deployment information, comprising:

Table acquiring unit, show and grid flowmeter for obtaining community WLAN (wireless local area network) precise deployment WDA, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers;

Decision unit, carries out automatic cascading judgement for the community WDA mark of different districts that obtains according to described table acquiring unit and the grid flow of described different grid, obtains focus grid;

Deployment information acquiring unit, obtains WLAN deployment information for the focus grid obtained according to described decision unit, to realize the deployment of WLAN.

In conjunction with second aspect, in the first mode in the cards of second aspect, described table acquiring unit comprises:

First report acquisition subelement, for obtaining packet switching measurement report PS MR;

First flow obtains subelement, and corresponding data service flow to be carried out the location on geographical position by the PS MR for obtaining according to described first report acquisition subelement, obtains the data service flow in different grid;

Or described table acquiring unit comprises:

Second report acquisition subelement, exchanges measurement report CS MR for acquisition cuicuit;

Quantity obtains subelement, and the CS MR for being obtained by described second report acquisition subelement carries out the location on geographical position, obtains the quantity of the CS MR in different grid;

Or described table acquiring unit comprises:

Weight arranges subelement, for arranging different atural object weights according to terrestrial object information in each cell coverage area and community;

Second flow obtains subelement, and the data service flow of described each community is shared at described different atural object by the atural object weight arranged for arranging subelement according to described weight, obtains the data service flow in different grid.

In conjunction with the first possible implementation of second aspect, in the implementation that the second of second aspect is possible, described second report acquisition subelement comprises:

Source obtains subelement, for obtaining the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

User's recognin unit, for according to the data identification PS any active ues that ticket or Gb Interface transmit;

3rd report acquisition subelement, the data source obtained for obtaining subelement according to described source obtains the quantity of the CS MR of described PS any active ues;

Or described second report acquisition subelement comprises:

4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cell.

In conjunction with second aspect or its first or the possible implementation of the second, in the third possible implementation of second aspect, described decision unit comprises:

Grid mark obtains subelement, for according to the community WDA mark of described different districts and the grid flow of described different grid, obtains the grid WDA mark of each grid;

Focus grid obtains subelement, obtains focus grid for the grid WDA mark and described grid flow obtaining each grid that subelement obtains according to described grid mark.

In conjunction with the third possible implementation of second aspect, in the 4th kind of possible implementation of second aspect, described focus grid obtain subelement specifically for:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, described focus grid obtain subelement specifically for:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.

The method of the acquisition WLAN (wireless local area network) deployment information that above-described embodiment provides and device, show and grid flowmeter by obtaining community WLAN (wireless local area network) precise deployment WDA, cell-level analysis and lattice level analysis are combined, obtain WLAN deployment information, thus provide more fine-grained WLAN precise deployment information, not only can find focus in network fast, solve the problem that prior art can not find " focus " or " focus is not warm ".

Accompanying drawing explanation

In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly introduced, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

The flow chart of the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 1 provides for one embodiment of the invention;

The flow chart that community WDA shows is obtained in the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 2 provides for another embodiment of the present invention

The flow chart of the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 3 provides for another embodiment of the present invention.

The flow chart that in the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 4 provides for another embodiment of the present invention, lattice level is analyzed;

Automatically decision flow journey figure is combined in the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 5 provides for another embodiment of the present invention;

The structural representation of the device of the acquisition WLAN (wireless local area network) deployment information that Fig. 6 provides for another embodiment of the present invention.

Embodiment

In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail, and obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.

The flow chart of the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 1 provides for one embodiment of the invention.In the present embodiment, the method obtaining WLAN (wireless local area network) deployment information comprises:

Step 11, acquisition community WLAN (wireless local area network) precise deployment (WLAN Deployment Accuracy, WDA) table and grid flowmeter, WDA table in community comprises the community WDA mark of different districts, grid flowmeter comprises the grid flow of different grid, wherein, grid is the local geographic location area that different districts covers.

Such as a square or school are divided into a lot of zonule, and a grid can be thought in each zonule, on each grid may cover by multiple community.The speech business telephone traffic occurred in a grid or data service flow, can be considered as the flow of this grid.Therefore, obtain grid flowmeter, can comprise:

Obtain packet switching measurement report (Packet Switch Measurement Report, PS MR);

According to described PS MR corresponding data service flow carried out the location on geographical position, obtain the data service flow in different grid.Such as from base station controller (Base Station Controller, BSC) the PS MR that terminal A sends at X place, geographical position is obtained, now, the data service flow that the terminal A obtained by traffic statistics data source produces can be navigated to the geographical position X at terminal A place.

Or, when PS any active ues is the gathering of PS occurs consistent with the gathering ground that CS occurs, obtains grid flowmeter, can comprise:

Acquisition cuicuit exchanges measurement report (Circuit Switch Measurement Report, CS MR);

CS MR is carried out the location on geographical position, obtains the quantity of the CS MR in different grid, thus when obtaining less than PS MR, find PS any active ues that the possible gathering ground of PS occurs by the telephone traffic obtained in grid.Wherein, the quantity of CS MR represents speech business telephone traffic, is also the one of grid flow.Dispose WLAN while the gathering of CS occurs in PS any active ues, generation PS and CS can be allowed to carry out PS business the same user assembling ground by WLAN, reach shunting action; Also operator can be helped the user of potential flow focus to be shunted away; Operator can also be helped to develop PS user.

Or, obtain grid flowmeter, can comprise:

According to terrestrial object information in each cell coverage area and community, different atural object weights is set;

The data service flow of each community is shared on different atural object by the atural object weight according to arranging, and obtains the data service flow in different grid.

Wherein, obtain CS MR can comprise:

Obtain the data source described CS MR and international mobile subscriber identity (International Mobile Subscriber Identity, IMSI) are associated together;

According to the data identification PS any active ues that ticket or Gb Interface transmit;

CS MR quantity and the telephone traffic of described PS any active ues is obtained according to described data source.

Or obtaining CS MR can comprise:

Obtain the quantity of the CS MR in PS active cell.

The process obtaining grid flowmeter refers to Fig. 4 and explanation thereof.Wherein, PS MR, CS MR, traffic statistics data source etc. can obtain from BSC, also can obtain from mirror back-up the link between BSC and core-network side, etc.

WDA table in community obtains by the flow process shown in Fig. 2, specifically comprises:

Step 21, the service feature of community to be analyzed, obtain service feature analysis result.

Step 22, the user behavior of community, terminal capability to be analyzed, obtain client parses result.

Step 23, cell-level are comprehensively analyzed.By setting up WDA model, using the analysis result of step 21 and step 22 as the input of WDA model, obtain community WDA mark by WDA model.

WDA model is by three Composition of contents such as index, thresholding and decision condition, weight and score calculating.Index is multiple data statistics items of candidate region, as wireless network utilization, the terminal permeability etc. supporting Wi-Fi.In the WDA model of the present embodiment, index can be classified as three classes: service class, user behavior class and terminal permeability class.Refer to the concrete data statistics item listed in following table 1, the data statistics item in practical operation can be complete or collected works or the subset of table 1, or carries out certain expansion according to existing network actual conditions.

Need to arrange thresholding for each index, decision condition comprises and is greater than, is more than or equal to, is less than and is less than or equal to.Only have when index meets decision condition, this index just can have contribution to final WDA mark.

The value of thresholding needs to possess certain flexibility, facilitates existing network to carry out adjusting to adapt to different scene requirement according to actual conditions.(method of relative value taked by table 1, and such as majority parameters gets 1.2 times of the whole network plot mean).

Thresholding needs to use together in conjunction with score weight.

Further, need to arrange weight for each index, when certain index meets decision condition, (this index/thresholding) × score weight=this index score.The value of weight needs to possess certain flexibility, can just can bear, and facilitates existing network to carry out adjusting to adapt to different scene requirement according to actual conditions.

All indexs gather score=WDA mark.

WDA model instance is as shown in table 1 below:

Table 1

Step 12, carry out automatic cascading judgement according to the community WDA mark of different districts and the grid flow of different grid, obtain focus grid.

Particularly, according to the grid flow of the community WDA mark of different districts and different grid, the grid WDA mark of each grid can be obtained;

Focus grid is obtained according to the grid WDA mark of each grid and grid flow.Such as, be in the grid of the top n grid WDA mark after grid WDA mark arranges from big to small by WDA mark, flow be the grid of front n grid flow after grid flow arranges from big to small as focus grid, wherein, N and n is natural number.Suppose there are grid C1, grid C2, grid C3, grid C4, grid C5 and grid C6 totally 6 grids, wherein, the WDA mark of grid C1 is c11, grid flow is c12, the WDA mark of grid C2 is c21, grid flow is c22, the WDA mark of grid C3 is c31, grid flow is c32, the WDA mark of grid C4 is c41, grid flow is c42, and the WDA mark of grid C5 is c51, grid flow is c52, and the WDA mark of grid C6 is c61, grid flow is c62.Order after the WDA mark of 6 grids arranges from big to small is: c31, c21, c61, c41, c11, c51.And hypothesis N=5, n=3, be then choose grid flow grid C3, C2, C6, C4 and C1 of c31, c21, c61, c41, c11 to come the grid of first 3 as focus grid from WDA mark, suppose in grid C3, C2, C6, C4 and C1, the grid flow of grid C3, C4 and C1 is all greater than the grid flow of grid C2 and grid C6, then grid C3, C4 and C1 is focus grid.

Again as shown in Figure 5, can be that the grid WDA mark of each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in first candidate's focus grid set and second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in first candidate's focus grid set and second candidate's focus grid set;

According to normalization grid WDA mark and the normalization grid flow of each grid in first candidate's focus grid set and second candidate's focus grid set, obtain the weighted sum of each grid in first candidate's focus grid set and second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in first candidate's focus grid set and second candidate's focus grid set arranges from big to small.

Step 13, obtain WLAN deployment information according to focus grid, thus can according to the deployment of WLAN deployment information realization WLAN.Such as, Binding number word map focus grid can be associated with building, thus obtain the building information being applicable to deployment WLAN, and then dispose WLAN according to building information, for the community covering focus grid is shunted.WLAN deployment information can also be the park, forest, greenery patches information etc. that are applicable to disposing WLAN.

The method of the acquisition WLAN (wireless local area network) deployment information that the present embodiment provides, show and grid flowmeter by obtaining community WDA, and carry out automatic cascading judgement according to community WDA mark wherein and grid flow, obtain focus grid, WLAN deployment information is obtained according to focus grid, the deployment granularity of WLAN is made to be reduced to grid from community, the refinement deployment granularity of WLAN, solve the not hot and inaccurate problem of WLAN deployment of focus that prior art more slightly causes because of granularity, be conducive to the accuracy improving WLAN deployment.

The flow chart of the method for the acquisition WLAN (wireless local area network) deployment information that Fig. 3 provides for another embodiment of the present invention.The present embodiment is for GSM standard, by WDA model realization, Zone performance, terminal, user behavior are comprehensively analyzed, the priority of cell deployment WLAN is provided with the form of score, then lattice level analysis is carried out according to the data source that can get, grid score is provided by automatically combining decision algorithm, filtering out the high grid of score is focus grid, and associates the building that building provides suggestion deployment WLAN.

Particularly, the method obtaining WLAN (wireless local area network) deployment information comprises:

Step 31, carry out cell-level analysis and obtain community WDA and show, carry out lattice level analysis acquisition grid flowmeter.

As shown in Figure 2, cell-level analysis is by technology such as traffic identification and terminal capability identifications, to the comprehensive analysis that the three large latitudes such as service feature, user behavior, terminal capability of community carry out, and by WDA model, provides the WDA mark of each community.Wherein, three large latitudes can be further subdivided into cell flow, wifi terminal etc.

The embodiment of the present invention is not limited to the above-mentioned comprehensive analysis realizing cell-level with WDA model; The data source that the comprehensive analysis of cell-level uses also is not limited to traffic statistics, packet switched call historical record (Packet Switch Call History Record, PS CHR) or ticket or Gb Interface on the data transmitted, as long as WDA indices can be calculated.Wherein, traffic statistics data source comprises other statisticss such as the statistics of speech business telephone traffic, the congestion ratio of network and throughput, and Gb Interface is the interface between SGSN and BSS.The index of WDA comprises wireless resource utility efficiency, busy data service flow, data traffic channels load-carrying efficiency, congestion ratio, resources occupation rate, low value flow business proportion, the average discharge using the user of wifi mobile phone and data card ratio etc.

Lattice level analysis is, by location technology or atural object rasterizing scheduling algorithm, speech business telephone traffic or data service flow are navigated to grid, then calculates the speech business telephone traffic in each grid or data service flow.

Particularly, lattice level analysis as shown in Figure 4, comprising:

Step 41, judge whether to obtain PS MR, if PS MR can be obtained, perform step 42, otherwise, perform step 43.

Step 42, when obtaining PS MR, the data service flow that statistics PS MR transmitting terminal produces on the geographical position at place when sending PS MR, performs step 45.

Step 43, when PS MR cannot be obtained, judge whether to obtain CS MR, if CS MR can be obtained, then perform step 44; Otherwise, perform step 46.

Step 44, when can obtain CS MR, if can obtain CS MR and international mobile subscriber identity (International Mobile Subscriber Identification Number, IMSI) data source (such as CS CHR) be associated, then according to the data identification PS any active ues that ticket or Gb Interface transmit, then carry out CS CHR and CS MR to associate the CS MR finding PS any active ues, then perform step 45.Because per call has a call identification, this call identification can be recorded in CS MR and in CS CHR, just CS CHR can be associated with CS MR by call identification.Wherein, PS any active ues is that PS business uses frequent and/or that PS service traffics are large user.

If the data source be associated by IMSI and CS MR cannot be obtained, then add up the CS MR quantity in PS active cell.Wherein, PS active cell is that the large and/or PS business of PS service traffics initiates community frequently.

Step 45, carry out MR location.When obtain be PS MR time, according to PS MR location technology, the data service flow of statistics is navigated in grid, calculates the data service flow in each grid and grid flow; When obtain be CS MR time, then according to CS MR location technology, CS MR is navigated in grid, calculates the CS MR quantity in each grid and grid flow.

Step 46, base area property rights heavy rasterizing data service flow.When PS MR and CS MR cannot be obtained, according to the terrestrial object information in cell coverage area and community, differently property rights weight is set, the data service flow of the community of recording inside traffic statistics data source is shared on different atural object by the atural object weight according to arranging, and then adds up the data service flow in grid.

Wherein, atural object can be building, park, forest, greenery patches etc.The weight of such as building is 10, the weight in park is 2, the weight of forest is 0, the weight in greenery patches is 0.1.Suppose that the data service flow of community A is a, the data service flow of community B is b, and, community A and community B all covers building, park, forest and greenery patches, data service flow=10(a+b then in construction zone) data service flow=2(a+b in/(10+2+0+0.1) park areas)/(10+2+0+0.1), data service flow in wood land is 0, the data service flow=0.1(a+b in region, greenery patches)/(10+2+0+0.1).If building, park, forest and greenery patches are divided into grid C and grid D two grids, wherein, building belongs to grid C, park, forest 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 associating decision algorithm is the result utilizing cell-level analysis and lattice level to analyze, and obtains focus grid or candidate's focus grid by cascading judgement algorithm.The data source of this algorithm and acquisition has nothing to do, only relevant with the result that lattice level is analyzed with cell-level analysis, as shown in Figure 5, comprising:

Step 51, computation grid WDA mark WDABin.

Particularly, ${\mathrm{WDA}}_{\mathrm{Bin}}=\mathrm{\Σ}(\frac{{\mathrm{Traffic}}_{\mathrm{celli}}}{{\mathrm{Traffic}}_{\mathrm{Bin}}}\×{\mathrm{WDA}}_{\mathrm{cell}\_i})$

Wherein, WDA _binfor the WDA mark of a certain grid, Traffic _cellifor i community fall into this grid flow and, Traffic _binfor communities all in this grid flow and, WDA _{cell_i}for the WDA mark of i community, namely with the accounting of cell flow each in this grid for weight, weighted sum obtains.Suppose there be M grid, then need the WDA mark calculating each grid in this M grid, obtain M grid WDA mark altogether.

Step 52, screening WDA _binthe grid of middle TOP p1% and TOP p2 ~ p1%.

Say in general sense, the community that WDA mark is higher, the shunting effect of WLAN is better, but some WDA mark is not high but there is the community of PS focus, also WLAN shunt is needed, so Hot Spot considers following Liang Lei community: the community that WDA mark is high, or the community that the not high but data service flow of WDA mark may be larger.

Based on above-mentioned Liang Lei community, the focus screening of high WDA mark community comprises: at WDA _binin the grid of mark TOP P1%, screening Traffic _binthe grid of numerical value TOP N1 forms first candidate's focus grid after TOP P1% refers to and is arranged in order from big to small by grid WDA mark, by grid alternatively focus grid corresponding for the grid WDA mark of the P1% accounting for total grid number from first grid WDA mark

The focus screening of low WDA mark community comprises: at WDA _binin the grid of mark TOP P2% ~ TOP P1%, screening Traffic _binthe grid of numerical value TOP N2 forms second candidate's focus grid

Suppose there are grid C1, grid C2, grid C3, grid C4, grid C5 and grid C6 totally 6 grids, wherein, the WDA mark of grid C1 is c1, the WDA mark of grid C2 is c2, the WDA mark of grid C3 is c3, the WDA mark of grid C4 is c4, and the WDA mark of grid C5 is c5, and the WDA mark of grid C6 is c6.Order after the WDA mark of 6 grids arranges from big to small is: c3, c2, c6, c4, c1, c5.If TOP P1% is TOP50%, then the WDA mark of TOP50% is c3, c2, c6, and, the grid C2 that grid WDA mark is the grid C3 of c3, grid WDA mark is c2 and grid WDA mark are in the grid C6 of c6, the grid flow of grid C3 is c31, the grid flow of grid C2 is c21, the grid flow of grid C6 is c61, and c21>c31>c61, if TOP N1 is TOP2, then choosing grid flow is that the grid of the first two is as first candidate's focus grid.Here, the grid 3 of grid flow to be the grid 2 of c21 and grid flow be c31 forms first candidate's focus grid suppose that TOP P2% is TOP83.34%, then the WDA mark of TOP P2% ~ TOP P1% is c4, c1, therefore, grid WDA mark is the grid C4 of c4 and grid WDA mark is in the grid C1 of c1, and the grid flow of grid C4 is c41, the grid flow of grid C1 is c11, and c11>c41, if TOP N1 is TOP1, then choosing grid flow is that the grid of first 1 is as first candidate's focus grid.Here, grid flow is that the grid 11 of c11 forms second candidate's focus grid

Step 53, by WDA _binwith the normalization of grid flow.

The set of candidate's focus grid is $U_{\mathrm{Bin}}=U_{\mathrm{Bin}}^{\mathrm{WDA}\_\mathrm{High}}\∪U_{\mathrm{Bin}}^{\mathrm{WDA}\_\mathrm{Low}}.$

Normalization U _binin the WDA of each grid _binand Traffic _bin:

${\mathrm{Traffic}}_{\mathrm{Bin}}^{\mathrm{Normalized}}=\frac{{\mathrm{Traffic}}_{\mathrm{Bin}}-\min \left({\mathrm{Traffic}}_{U_{\mathrm{Bin}}}\right)}{\max \left({\mathrm{Traffic}}_{U_{\mathrm{Bin}}}\right)-\min \left({\mathrm{Traffic}}_{U_{\mathrm{Bin}}}\right)}$

${\mathrm{WDA}}_{\mathrm{Bin}}^{\mathrm{Normalized}}=\frac{{\mathrm{WDA}}_{\mathrm{Bin}}-\min \left({\mathrm{WDA}}_{\mathrm{Bin}}\right)}{\max \left({\mathrm{WDA}}_{\mathrm{Bin}}\right)-\min \left({\mathrm{WDA}}_{\mathrm{Bin}}\right)}$

Wherein, for the normalization grid flow of a certain grid, for the normalization grid WDA mark of a certain grid.

Step 54, choose focus grid according to the normalization grid flow of each grid and normalization grid WDA mark.Particularly, the normalization grid flow of each grid and the weighted sum of normalization grid WDA mark is calculated: $\mathrm{\α}\×{\mathrm{Traffic}}_{\mathrm{Bin}}^{\mathrm{Normalized}}+(1-\mathrm{\α})\×{\mathrm{WDA}}_{\mathrm{Bin}}^{\mathrm{Normalized}},$ Choose the grid of weighted sum TOP N as WLAN hot spot grid.Suppose there are grid D1, grid D2, grid D3, grid D4, grid D5 and grid D6 totally 6 grids, wherein, the weighted sum of grid D1 is d1, the weighted sum of grid D2 is d2, the weighted sum of grid D3 is d3, the weighted sum of grid D4 is d4, and the weighted sum of grid D5 is d5, and 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.Suppose that TOP N is TOP3, then weighted sum is the grid D3 of d3, the grid D6 of weighted sum to be the grid D2 of d2 and weighted sum be d6 is WLAN hot spot grid.

Wherein, α ∈ [0,1], be the weight of the normalization grid flow of a certain grid, 1-α is the weight of the normalization grid WDA mark of this grid, can be arranged by user according to user to the attention degree of data service traffics dimension or WDA dimension.

Step 33, focus grid is associated with building, obtains WLAN deployment information.

Particularly, the focus grid that can obtain for step 54, and Binding number word map association building, obtain placement information.

Further, also preferred building information can be obtained according to point of interest (Point of interest, POI) type, thus at preferred building deploy WLAN.

The method of the acquisition WLAN (wireless local area network) deployment information that the present embodiment provides for GSM standard, show by carrying out cell-level analysis acquisition community WDA to the latitude such as service feature analysis, terminal capability, user behavior of community, and obtain grid flowmeter by lattice level analysis, analysis result is obtained focus grid by automatic cascading judgement, and Binding number word map association building, obtain the building information being applicable to disposing WLAN, thus realize at focus grid deploy WLAN, for community is shunted.Not only make the deployment granularity of WLAN thinner, and real focus can be found, effectively carry out service distributing.Not only be suitable for the WLAN precise deployment under different scene; And focus in network can be found fast, solve and can not find " focus " or " focus is not warm " situation, and provide more fine-grained WLAN precise deployment.

The structural representation of the device of the acquisition WLAN (wireless local area network) deployment information that Fig. 6 provides for another embodiment of the present invention.The device that the present embodiment provides for realize embodiment illustrated in fig. 1 in method, comprising: table acquiring unit 61, decision unit 62 and deployment information acquiring unit 63.

Table acquiring unit 61 is shown and grid flowmeter for obtaining community WLAN (wireless local area network) precise deployment WDA, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers.

Decision unit 62 carries out automatic cascading judgement for the community WDA mark of different districts that obtains according to described table acquiring unit 61 and the grid flow of described different grid, obtains focus grid.

Deployment information acquiring unit 63 obtains WLAN deployment information for the focus grid obtained according to described decision unit 62, to realize the deployment of WLAN.

Further, described table acquiring unit 61 can comprise:

First report acquisition subelement, for obtaining packet switching measurement report PS MR;

First flow obtains subelement, and corresponding data service flow to be carried out the location on geographical position by the PS MR for obtaining according to described first report acquisition subelement, obtains the data service flow in different grid;

Or described table acquiring unit 61 can comprise:

Second report acquisition subelement, exchanges measurement report CS MR for acquisition cuicuit;

Quantity obtains subelement, and the CS MR for being obtained by described second report acquisition subelement carries out the location on geographical position, obtains the quantity of the CS MR in different grid;

Or described table acquiring unit 61 can comprise:

Weight arranges subelement, for arranging different atural object weights according to terrestrial object information in each cell coverage area and community;

Second flow obtains subelement, and the data service flow of described each community is shared at described different atural object by the atural object weight arranged for arranging subelement according to described weight, obtains the data service flow in different grid.

Further, described second report acquisition subelement can comprise:

Source obtains subelement, for obtaining the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

User's recognin unit, for according to the data identification PS any active ues that ticket or Gb Interface transmit;

3rd report acquisition subelement, the data source obtained for obtaining subelement according to described source obtains the quantity of the CS MR of described PS any active ues;

Or described second report acquisition subelement comprises:

4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cell.

Further, described decision unit can comprise:

Grid mark obtains subelement, for according to the community WDA mark of described different districts and the grid flow of described different grid, obtains the grid WDA mark of each grid;

Focus grid obtains subelement, obtains focus grid for the grid WDA mark and described grid flow obtaining each grid that subelement obtains according to described grid mark.

Further, described focus grid obtain subelement can be specifically for:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, described focus grid obtain subelement specifically for:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.

The device of the acquisition WLAN (wireless local area network) deployment information that the present embodiment provides obtains community WLAN (wireless local area network) precise deployment WDA by table acquiring unit and shows and grid flowmeter, by decision unit, cell-level analysis and lattice level analysis are combined, WLAN deployment information is obtained by disposing information acquisition unit, thus provide more fine-grained WLAN precise deployment information, not only can find focus in network fast, solve the problem that prior art can not find " focus " or " focus is not warm ".

The embodiment of the present invention gives a kind of computer program, and this computer program comprises computer-readable medium, and this computer-readable recording medium comprises first group of program code, for performing the step in method shown in above-mentioned Fig. 1:

Obtain community WLAN (wireless local area network) precise deployment WDA to show and grid flowmeter, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers;

Carry out automatic cascading judgement according to the community WDA mark of described different districts and the grid flow of described different grid, obtain focus grid;

WLAN deployment information is obtained, to realize the deployment of WLAN according to described focus grid.

Alternatively, obtain grid flowmeter, comprising:

Obtain packet switching measurement report PS MR;

According to described PS MR corresponding data service flow carried out the location on geographical position, obtain the data service flow in different grid;

Or, comprising:

Acquisition cuicuit exchanges measurement report CS MR;

Described CS MR is carried out the location on geographical position, obtain the quantity of the CS MR in different grid;

Or, comprising:

According to terrestrial object information in each cell coverage area and community, different atural object weights is set;

The data service flow of described each community is shared on described different atural object by the atural object weight according to arranging, and obtains the data service flow in different grid.

Alternatively, acquisition cuicuit exchanges measurement report CS MR, comprising:

Obtain the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

According to the data identification PS any active ues that ticket or Gb Interface transmit;

The quantity of the CS MR of described PS any active ues is obtained according to described data source;

Or comprise:

Obtain the quantity of the CS MR in PS active cell.

Alternatively, carry out automatic cascading judgement according to the community WDA mark of described different districts and the grid flow of described different grid, obtain focus grid, comprising:

According to the community WDA mark of described different districts and the grid flow of described different grid, obtain the grid WDA mark of each grid;

Focus grid is obtained according to the grid WDA mark of described each grid and described grid flow.

Alternatively, obtain focus grid according to the grid WDA mark of described each grid and described grid flow, comprising:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, obtain focus grid according to the grid WDA mark of described each grid and described grid flow, comprising:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.

One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each embodiment of the method can have been come by the hardware that program command is relevant.Aforesaid program can be stored in a computer read/write memory medium.This program, when performing, performs the step comprising above-mentioned each embodiment of the method; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium.

Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.

Claims (10)

1. obtain a method for WLAN (wireless local area network) deployment information, it is characterized in that, comprising:

Obtain community WLAN (wireless local area network) precise deployment WDA to show and grid flowmeter, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers;

Carry out automatic cascading judgement according to the community WDA mark of described different districts and the grid flow of described different grid, obtain focus grid;

WLAN deployment information is obtained, to realize the deployment of WLAN according to described focus grid.

2. method according to claim 1, is characterized in that, obtains grid flowmeter, comprising:

Obtain packet switching measurement report PS MR;

According to described PS MR corresponding data service flow carried out the location on geographical position, obtain the data service flow in different grid;

Or, comprising:

Acquisition cuicuit exchanges measurement report CS MR;

Described CS MR is carried out the location on geographical position, obtain the quantity of the CS MR in different grid;

Or, comprising:

According to terrestrial object information in each cell coverage area and community, different atural object weights is set;

The data service flow of described each community is shared on described different atural object by the atural object weight according to arranging, and obtains the data service flow in different grid.

3. method according to claim 2, is characterized in that, acquisition cuicuit exchanges measurement report CS MR, comprising:

Obtain the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

According to the data identification PS any active ues that ticket or Gb Interface transmit;

The quantity of the CS MR of described PS any active ues is obtained according to described data source;

Or comprise:

Obtain the quantity of the CS MR in PS active cell.

4. method according to any one of claim 1-3, is characterized in that, carries out automatic cascading judgement, obtain focus grid, comprising according to the community WDA mark of described different districts and the grid flow of described different grid:

According to the community WDA mark of described different districts and the grid flow of described different grid, obtain the grid WDA mark of each grid;

Focus grid is obtained according to the grid WDA mark of described each grid and described grid flow.

5. method according to claim 4, is characterized in that, obtains focus grid, comprising according to the grid WDA mark of described each grid and described grid flow:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, obtain focus grid according to the grid WDA mark of described each grid and described grid flow, comprising:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.

6. obtain a device for WLAN (wireless local area network) deployment information, it is characterized in that, comprising:

Table acquiring unit, show and grid flowmeter for obtaining community WLAN (wireless local area network) precise deployment WDA, described community WDA table comprises the community WDA mark of different districts, described grid flowmeter comprises the grid flow of different grid, and described grid is the local geographic location area that described different districts covers;

Decision unit, carries out automatic cascading judgement for the community WDA mark of different districts that obtains according to described table acquiring unit and the grid flow of described different grid, obtains focus grid;

Deployment information acquiring unit, obtains WLAN deployment information for the focus grid obtained according to described decision unit, to realize the deployment of WLAN.

7. device according to claim 6, it is characterized in that, described table acquiring unit comprises:

First report acquisition subelement, for obtaining packet switching measurement report PS MR;

First flow obtains subelement, and corresponding data service flow to be carried out the location on geographical position by the PS MR for obtaining according to described first report acquisition subelement, obtains the data service flow in different grid;

Or described table acquiring unit comprises:

Second report acquisition subelement, exchanges measurement report CS MR for acquisition cuicuit;

Quantity obtains subelement, and the CS MR for being obtained by described second report acquisition subelement carries out the location on geographical position, obtains the quantity of the CS MR in different grid;

Or described table acquiring unit comprises:

Weight arranges subelement, for arranging different atural object weights according to terrestrial object information in each cell coverage area and community;

Second flow obtains subelement, and the data service flow of described each community is shared at described different atural object by the atural object weight arranged for arranging subelement according to described weight, obtains the data service flow in different grid.

8. device according to claim 7, it is characterized in that, described second report acquisition subelement comprises:

Source obtains subelement, for obtaining the data source be associated together by described CS MR and international mobile subscriber identity IMSI;

User's recognin unit, for according to the data identification PS any active ues that ticket or Gb Interface transmit;

3rd report acquisition subelement, the data source obtained for obtaining subelement according to described source obtains the quantity of the CS MR of described PS any active ues;

Or described second report acquisition subelement comprises:

4th report acquisition subelement, for obtaining the quantity of the CS MR in PS active cell.

9. device according to any one of claim 6-8, is characterized in that, described decision unit comprises:

Grid mark obtains subelement, for according to the community WDA mark of described different districts and the grid flow of described different grid, obtains the grid WDA mark of each grid;

Focus grid obtains subelement, obtains focus grid for the grid WDA mark and described grid flow obtaining each grid that subelement obtains according to described grid mark.

10. device according to claim 9, is characterized in that, described focus grid obtain subelement specifically for:

Be in the grid of the top n grid WDA mark after the grid WDA mark of described each grid arranges from big to small by WDA mark, flow is that the grid of front n grid flow after the grid flow of described each grid arranges from big to small is as focus grid, wherein, N and n is natural number;

Or, described focus grid obtain subelement specifically for:

Be that the grid WDA mark of described each grid arranges in the grid of grid WDA mark of rear front p1% from big to small by WDA mark, flow is the grid of front n1 grid flow after the grid flow of described each grid arranges from big to small, forms first candidate's focus grid set;

Be that the grid WDA mark of described each grid arranges in the grid of rear front p2% ~ p1% from big to small by WDA mark, flow is the grid of front n2 grid flow after the grid flow of described each grid arranges from big to small, forms second candidate's focus grid set;

By the grid WDA mark of each grid in described first candidate's focus grid set and described second candidate's focus grid set and the normalization of grid flow, obtain normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

According to described normalization grid WDA mark and the normalization grid flow of each grid in described first candidate's focus grid set and described second candidate's focus grid set, obtain the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set;

Be as focus grid by weighted sum using the grid of M weighted sum before after the weighted sum of each grid in described first candidate's focus grid set and described second candidate's focus grid set arranges from big to small.