CN103179582A - Method and system for site selection of indoor distribution system - Google Patents

Abstract

The invention discloses a method and system for site selection of an indoor distribution system. The method comprises the steps of: extracting an MR (Measurement Report) and determining the position information of the MR; performing rasterization treatment on a valuation area according to an appointed scale so as to obtain position information of each grid generated after the rasterization; determining the MR which belongs to each grid based on the position information and obtaining a network structure index of each grid based on the MR; obtaining a building network structure index; and determining the site for the setup of the indoor distribution system based on the building network structure index. The system comprises a data acquisition and MR positioning subsystem, an MR rasterization and grid network structure index calculation subsystem, a building network structure calculation subsystem, and an indoor distribution system address selection subsystem. By adopting the technical scheme of the invention, the optimal site of the indoor distribution system can be calculated exactly and objectively based on the MR form; furthermore, the interference is reduced, the telephone traffic is fully absorbed; and the network problems are solved.

Description

A kind of chamber subsystem site selecting method and system

Technical field

The wireless network planning that the present invention relates to mobile communication is optimized field, particularly a kind of chamber subsystem site selecting method and system

Background technology

GSM (global system for mobile communications, global system for mobile communications) network configuration is exactly the laying and configuring of base station in network, comprise station spacing, stand high, antenna direction and have a down dip, cell carrier configuration, the distribution of chamber inside/outside website, repeater distribution etc.The complicated network structure refers to that wireless signal is mixed and disorderly, overlapping covering and to cross the covering phenomenon serious, causes wireless environment to worsen, and the difficult row of frequency disturbs and the end rising of making an uproar.

Directly affect the quality of GSM network due to the complexity of GSM network configuration, so network configuration optimization is the important topic of the GSM network optimization.The GSM network configuration optimize (namely reducing the network configuration index) means comprise reduce the station high, adjust between antenna feeder azimuth and angle of declination, balanced residential quarter traffic with build the means such as the grand station of subsystem absorption, chamber traffic, wherein building the chamber subsystem and absorb grand station traffic means optimized network configuration aspects effect is very obvious and operability is extremely strong, is therefore the means of operator of China Mobile extensive use.

At present, it is to complain situation and with reference to the grand station telephone traffic of covering building with reference to certain building that the chamber subsystem is built main method, select to need most the building of building the chamber subsystem from numerous buildings, namely carry out chamber subsystem addressing according to the artificial experience coarse analysis.

As shown in Figure 1, having chamber subsystem site selecting method now operates according to following steps:

1 pair of a plurality of building complains statistical analysis and building telephone traffic to estimate, guarantees that the construction of chamber subsystem can solve in network than large user's perception problems;

Near the 2 pairs of buildings, grand station telephone traffic is analyzed, and after guaranteeing building chamber subsystem, can absorb the traffic of high traffic residential quarter, alleviates the traffic pressure at grand station;

3 comprehensive above-mentioned 1 and 2 analysis judgement is selected namely can to solve the building that more user awareness problem can absorb again grand station traffic and is disposed the chamber subsystem.

Because the method that has chamber subsystem addressing now is to operate by artificial experience substantially, wherein the customer complaint operator different from absorbing the traffic effect expection of grand station has different judgements, the most important thing is that the chamber subsystem absorbs grand station this link determination methods of traffic very coarse, can not guarantee grand station traffic to be absorbed after the subsystem construction of chamber the assessment of quantitative, therefore can cause not selecting best building to build the chamber subsystem, disturb and fully absorb traffic thereby the chamber subsystem of building up can't be effectively reduced.

Summary of the invention

The purpose of this invention is to provide a kind of chamber subsystem site selecting method and system, can according to the MR declaration form, determine better subsystem address, chamber.

In one embodiment of the invention, provide a kind of chamber subsystem site selecting method, comprised step: extracted measurement report MR, determine the positional information of MR; Assessment area is processed according to specifying yardstick to carry out rasterizing, obtained the positional information of each grid of generating after rasterizing; According to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR; Grid or the area of grid and the network configuration index of the grid that covers according to building covers obtain the buildings network structure index; The address of determining to set up the chamber subsystem according to described buildings network structure index.

A kind of chamber of the present invention subsystem site selecting method, further comprising the steps: according to BCCH (the Broadcast Control Channel of six adjacent areas that comprise in the MR declaration form, Broadcast Control Channel) the level RxLev of channel (Received Signal Level, received signal level) and the longitude and latitude of the base station of described six adjacent areas, calculate the longitude and latitude that MR occurs.

A kind of chamber of the present invention subsystem site selecting method is describedly processed assessment area to comprise according to being specified yardstick to carry out rasterizing: assessment area divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

A kind of chamber of the present invention subsystem site selecting method, describedly determine that the MR that belongs to each grid comprises: the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

A kind of chamber of the present invention subsystem site selecting method, calculate the network configuration index of each grid according to the MR that belongs to each grid, the algorithm that adopts is as follows: MR declaration form network configuration index=count * 100% lower than TCH (Traffic Channel, the Traffic Channel) carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency; The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid;

Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

A kind of chamber of the present invention subsystem site selecting method uses algorithm to calculate the buildings network structure index, and described algorithm is as follows: $B\_\mathrm{Constr}=\mathrm{\ΣBG}\_{\mathrm{Area}}_i*G\_{\mathrm{Constr}}_i*G\_{\mathrm{Traffic}}_i/\underset{i}{\mathrm{\Σ}}(G\_{\mathrm{Traffic}}_i*G\_{\mathrm{Area}}_i)$

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

A kind of chamber of the present invention subsystem site selecting method, utilize valuation functions to be weighted sequence to the owned building in assessment area, described valuation functions is shown below: F=K1*B_Constr+K2*B_Traffic+K3*B_Compla int wherein, B_Constr is the buildings network structure index, B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, the number of times of complaint occurs in B_Complaint in building, K1, K2 and K3 are weight coefficients; Get the maximum building of F value as the building of building the chamber subsystem.

In another embodiment of the present invention, a kind of chamber subsystem site selection system is provided, this system comprises Data Collection and MR positioning subsystem, MR rasterizing and grid network structure index computing subsystem, buildings network Structure Calculation subsystem and chamber subsystem addressing subsystem, wherein, described Data Collection and MR positioning subsystem are used for extracting measurement report MR, determine the positional information of MR; Described MR rasterizing and grid network structure index computing subsystem are used for assessment area is processed according to specifying yardstick to carry out rasterizing, obtain the positional information of each grid of generating after rasterizing, also be used for according to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR; Described buildings network Structure Calculation subsystem is used for obtaining the buildings network structure index according to the area of the grid of building covering or grid and the network configuration index of the grid that covers; Described chamber subsystem addressing subsystem is for the address of determining to set up the chamber subsystem according to described buildings network structure index.

A kind of chamber of the present invention subsystem site selection system, described Data Collection and positioning subsystem are further used for the longitude and latitude according to the base station of the level RxLev of the BCCH channel of six adjacent areas that comprise in the MR declaration form and described six adjacent areas, calculate the longitude and latitude that MR occurs.

A kind of chamber of the present invention subsystem site selection system, described MR rasterizing and grid network structure index computing subsystem are further used for assessment area is divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

A kind of chamber of the present invention subsystem site selection system, described MR rasterizing and grid network structure index computing subsystem are further used for the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

A kind of chamber of the present invention subsystem site selection system, described MR rasterizing and grid network structure index computing subsystem are further used for calculating according to the MR that belongs to each grid the network configuration index of each grid, and the algorithm of employing is as follows:

MR declaration form network configuration index=count * 100% lower than the TCH carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency;

The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid;

$G\_\mathrm{Constr}=\underset{i}{\mathrm{\Σ}}M\_\mathrm{Constr}/N$

Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

A kind of chamber of the present invention subsystem site selection system, buildings network Structure Calculation subsystem is further used for using algorithm to calculate the buildings network structure index, and described algorithm is as follows: $B\_\mathrm{Constr}=\mathrm{\ΣBG}\_{\mathrm{Area}}_i*G\_{\mathrm{Constr}}_i*G\_{\mathrm{Traffic}}_i/\underset{i}{\mathrm{\Σ}}(G\_{\mathrm{Traffic}}_i*G\_{\mathrm{Area}}_i)$

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

A kind of chamber of the present invention subsystem site selection system, described chamber subsystem addressing subsystem is further used for utilizing valuation functions to be weighted sequence to the owned building in assessment area, and described valuation functions is shown below:

F＝K1*B_Constr+K2*B_Traffic+K3*B_Compla int

Wherein, B_Constr is the buildings network structure index, and B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, and B_Complaint is the number of times that in building, generation is complained, K1, K2 and K3 are weight coefficients.

Technique effect of the present invention is, can accurately objectively calculate best subsystem address, chamber according to the MR declaration form, and then reduce and disturb and fully absorb traffic, has solved network problem.

Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from specification, perhaps understand by implementing the present invention.Purpose of the present invention and other advantages can realize and obtain by specifically noted structure in the specification of writing, claims and accompanying drawing.

Below by drawings and Examples, technical scheme of the present invention is described in further detail.

Description of drawings

Accompanying drawing is used to provide a further understanding of the present invention, and consists of the part of specification, is used for together with embodiments of the present invention explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:

Fig. 1 is the flow chart of chamber of the prior art subsystem site selecting method;

Fig. 2 is the flow chart of the chamber subsystem site selecting method in the specific embodiment of the invention one;

Fig. 3 is the schematic diagram of the chamber subsystem site selection system in the specific embodiment of the invention two.

Embodiment

Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, is not intended to limit the present invention.

Below with reference to Figure of description, describe the present invention in detail.

In one embodiment of the invention, provide a kind of chamber subsystem site selecting method, the method comprising the steps of as shown in Figure 2: extract measurement report MR, determine the positional information of MR; Assessment area is processed according to specifying yardstick to carry out rasterizing, obtained the positional information of each grid of generating after rasterizing; According to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR; Grid or the area of grid and the network configuration index of the grid that covers according to building covers obtain the buildings network structure index; The address of determining to set up the chamber subsystem according to described buildings network structure index.

A kind of chamber of the present invention subsystem site selecting method, further comprising the steps: according to the longitude and latitude of the base station of the level RxLev of the BCCH channel of six adjacent areas that comprise in the MR declaration form and described six adjacent areas, utilize algorithm, calculate the longitude and latitude that MR occurs, described algorithm is as follows:

K((S_Lat _m-M_Lat _j) ²+(S_Lon _m-M_Lon _j) ²) ^1/2＝TxPwr _m-M_RxLev _j

Wherein, m is 1 to 6, represents the base station at place, six residential quarters; J is the numbering of MR, and j MR located; S_Lat _mAnd S_Lon _mRepresent latitude and the longitude of m base station; M_Lat _jAnd M_Lon _jRepresent latitude and the longitude of j MR; TxPwr _mRepresent the transmitting power of m base station; K is constant; Base station corresponding to six adjacent areas provides respectively following formula, utilizes least square method to obtain the MR longitude and latitude.

A kind of chamber of the present invention subsystem site selecting method is describedly processed assessment area to comprise according to being specified yardstick to carry out rasterizing: assessment area divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

A kind of chamber of the present invention subsystem site selecting method, describedly determine that the MR that belongs to each grid comprises: the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

A kind of chamber of the present invention subsystem site selecting method, calculate the network configuration index of each grid according to the MR that belongs to each grid, the algorithm of employing is as follows: MR declaration form network configuration index=count * 100% lower than the TCH carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency; The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid; Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

A kind of chamber of the present invention subsystem site selecting method uses algorithm to calculate the buildings network structure index, and described algorithm is as follows: $B\_\mathrm{Constr}=\mathrm{\ΣBG}\_{\mathrm{Area}}_i*G\_{\mathrm{Constr}}_i*G\_{\mathrm{Traffic}}_i/\underset{i}{\mathrm{\Σ}}(G\_{\mathrm{Traffic}}_i*G\_{\mathrm{Area}}_i)$

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

A kind of chamber of the present invention subsystem site selecting method, utilize valuation functions to be weighted sequence to the owned building in assessment area, described valuation functions is shown below: F=K1*B_Constr+K2*B_Traffic+K3*B_Compla int wherein, B_Constr is the buildings network structure index, B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, the number of times of complaint occurs in B_Complaint in building, K1, K2 and K3 are weight coefficients; Get the maximum building of F value as the building of building the chamber subsystem.

As shown in Figure 3, in one embodiment of the invention, a kind of chamber subsystem site selection system is provided, this system comprises Data Collection and MR positioning subsystem, MR rasterizing and grid network structure index computing subsystem, buildings network Structure Calculation subsystem and chamber subsystem addressing subsystem, wherein, described Data Collection and MR positioning subsystem are used for extracting measurement report MR, determine the positional information of MR; Described MR rasterizing and grid network structure index computing subsystem are used for assessment area is processed according to specifying yardstick to carry out rasterizing, obtain the positional information of each grid of generating after rasterizing, also be used for according to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR; Described buildings network Structure Calculation subsystem is used for obtaining the buildings network structure index according to the area of the grid of building covering or grid and the network configuration index of the grid that covers; Described chamber subsystem addressing subsystem is for the address of determining to set up the chamber subsystem according to described buildings network structure index.

A kind of chamber of the present invention subsystem site selection system, the signaling that described Data Collection and MR positioning subsystem are further used for collecting the ABIS interface is extracted MR from collected signaling.

A kind of chamber of the present invention subsystem site selection system, described Data Collection and MR positioning subsystem are further used for the longitude and latitude according to the base station of the level RxLev of the BCCH channel of six adjacent areas that comprise in the MR declaration form and described six adjacent areas, utilize algorithm, calculate the longitude and latitude that MR occurs, described algorithm is as follows:

K((S_Lat _m-M_Lat _j) ²+(S_Lon _m-M_Lon _j) ²) ^1/2＝TxPwr _m-M_RxLev _j

Wherein, m is 1 to 6, represents the base station at place, six residential quarters; J is the numbering of MR, and j MR located; S_Lat _mAnd S_Lon _mRepresent latitude and the longitude of m base station; M_Lat _jAnd M_Lon _jRepresent latitude and the longitude of j MR; TxPwr _mRepresent the transmitting power of m base station; K is constant; Base station corresponding to six adjacent areas provides respectively following formula, utilizes least square method to obtain the MR longitude and latitude.

A kind of chamber of the present invention subsystem site selection system, described MR rasterizing and grid network structure index computing subsystem are further used for assessment area is divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

A kind of chamber of the present invention subsystem site selection system, described MR rasterizing and grid network structure index computing subsystem are further used for the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

A kind of chamber of the present invention subsystem site selection system, also described MR rasterizing and grid network structure index computing subsystem are further used for calculating according to the MR that belongs to each grid the network configuration index of each grid, and the algorithm of employing is as follows: MR declaration form network configuration index=count * 100% lower than the TCH carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency; The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid;

Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

A kind of chamber of the present invention subsystem site selection system, buildings network Structure Calculation subsystem is further used for using algorithm to calculate the buildings network structure index, and described algorithm is as follows: $B\_\mathrm{Constr}=\mathrm{\ΣBG}\_{\mathrm{Area}}_i*G\_{\mathrm{Constr}}_i*G\_{\mathrm{Traffic}}_i/\underset{i}{\mathrm{\Σ}}(G\_{\mathrm{Traffic}}_i*G\_{\mathrm{Area}}_i)$

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

A kind of chamber of the present invention subsystem site selection system, described chamber subsystem addressing subsystem is further used for utilizing valuation functions to be weighted sequence to the owned building in assessment area, estimates the suitable function of building the chamber subsystem of building and is shown below:

F＝K1*B_Constr+K2*B_Traffic+K3*B_Compla int

Wherein, B_Constr is the buildings network structure index, and B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, and B_Complaint is the number of times that in building, generation is complained, K1, K2 and K3 are weight coefficients.

In a project using the chamber subsystem site selecting method based on the assessment of MR network configuration of the present invention and system, by becoming more meticulous of MR data assessed and analyzed and adjust minute site, chamber and parameter, thereby improve the * * * * GSM of branch company network of network structure, reduce in net and disturb, promote network quality, simultaneous verification this accuracy and validity based on the MR device.

The optimization zone of this project comprises GSM900 residential quarter, 112, * * area, minute residential quarter, 32 chambers.This city company has also dropped into a large amount of manpower and materials and keeps this regional system index to be in very high level for a long time, but because network environment is complicated, can have the problems such as quality that caused by interference unavoidably.This suboptimization is mainly the MR report that utilizes the software analysis collection to obtain, and comes the problem points in accurate locating area.Carry out efficient intelligent search and option screening, whole adjustment is carried out in network optimization zone, thereby reach the lifting of indices in the zone, promote city user's use perceptibility.

The project flow process is as follows:

1, Data Collection

2, MR location

According to the MR location algorithm, report the level RxLev (incoming level) of 6 residential quarter BCCH at some point, and the longitude and latitude of these six neighbor base stations positions, formula is as follows:

K((S_Lat _m-M_Lat _j) ²+(S_Lon _m-M_Lon _j) ²) ^1/2＝TxPwr _m-M_RxLev _j

The 1st measurement report calculation of longitude ﹠ latitude (m refers to 6 reporting neighboring cells):

$\left\{\begin{array}{c}K{(S\_{\mathrm{Lat}}_1-M\_{\mathrm{Lat}}_1)}^2+{(S\_{\mathrm{Lon}}_1-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_1-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_2-M\_{\mathrm{Lat}}_1)}^2+{(S\_{\mathrm{Lon}}_2-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_2-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_3-{M\_\mathrm{Lat}}_1)}^2+{(S\_{\mathrm{Lon}}_3-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_3-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_4-M\_{\mathrm{Lat}}_1)}^2+{(S\_{\mathrm{Lon}}_4-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_4-{M\_\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_5-M\_{\mathrm{Lat}}_1)}^2+{({S\_\mathrm{Lon}}_5-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_5-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_6-M\_{\mathrm{Lat}}_1)}^2+{(S\_{\mathrm{Lon}}_6-M\_{\mathrm{Lon}}_1)}^2=_{1/2}{\mathrm{TxPwr}}_6-{M\_\mathrm{<figure-callout\; id="1"\; label="RxLev"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">RxLev</figure-callout>}}_1\end{array}\right.$

Base station corresponding to six adjacent areas can provide following formula, can utilize at last least square method to obtain measurement report position: M_Lat ₁And M_Lon ₁

The 2nd measurement report calculation of longitude ﹠ latitude (six adjacent areas):

$\left\{\begin{array}{c}K{(S\_{\mathrm{Lat}}_1-M\_{\mathrm{Lat}}_2)}^2+{(S\_{\mathrm{Lon}}_1-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_1-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_2-M\_{\mathrm{Lat}}_2)}^2+{(S\_{\mathrm{Lon}}_2-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_2-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_3-{M\_\mathrm{Lat}}_2)}^2+{(S\_{\mathrm{Lon}}_3-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_3-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_4-M\_{\mathrm{Lat}}_2)}^2+{(S\_{\mathrm{Lon}}_4-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_4-{M\_\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_5-M\_{\mathrm{Lat}}_2)}^2+{({S\_\mathrm{Lon}}_5-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_5-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_6-M\_{\mathrm{Lat}}_2)}^2+{(S\_{\mathrm{Lon}}_6-M\_{\mathrm{Lon}}_2)}^2=_{1/2}{\mathrm{TxPwr}}_6-{M\_\mathrm{<figure-callout\; id="1"\; label="RxLev"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">RxLev</figure-callout>}}_1\end{array}\right.$

Base station corresponding to six adjacent areas can provide following formula, can utilize at last least square method to obtain measurement report position: M_Lat ₂And M_Lon ₂

……

By that analogy, N measurement report draws

$\left\{\begin{array}{c}K{(S\_{\mathrm{Lat}}_1-M\_{\mathrm{Lat}}_N)}^2+{(S\_{\mathrm{Lon}}_1-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_1-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_2-M\_{\mathrm{Lat}}_N)}^2+{(S\_{\mathrm{Lon}}_2-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_2-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_3-{M\_\mathrm{Lat}}_N)}^2+{(S\_{\mathrm{Lon}}_3-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_3-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_4-M\_{\mathrm{Lat}}_N)}^2+{(S\_{\mathrm{Lon}}_4-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_4-{M\_\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_5-M\_{\mathrm{Lat}}_N)}^2+{({S\_\mathrm{Lon}}_5-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_5-M\_{\mathrm{RxLev}}_1\\ K{(S\_{\mathrm{Lat}}_6-M\_{\mathrm{Lat}}_N)}^2+{(S\_{\mathrm{Lon}}_6-M\_{\mathrm{Lon}}_N)}^2=_{1/2}{\mathrm{TxPwr}}_6-{M\_\mathrm{<figure-callout\; id="1"\; label="RxLev"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">RxLev</figure-callout>}}_1\end{array}\right.$

Base station corresponding to six adjacent areas can provide following formula, can utilize at last least square method to obtain measurement report position: M_Lat _NAnd M_Lon _N

Calculate by above method each MR measurement report that the every 480ms of mobile phone reports, play up distribution on map, obtain the network for location of MR.

3, network evaluation

Network configuration index and other index of correlation in the area coverage of Evaluation Room branch website:

Computational methods according to the buildings network structure:

$B\_\mathrm{Constr}=\mathrm{\&Sigma;BG}\_{\mathrm{Area}}_i*G\_{\mathrm{Constr}}_i*G\_{\mathrm{Traffic}}_i/\underset{i}{\mathrm{\&Sigma;}}(G\_{\mathrm{Traffic}}_i*G\_{\mathrm{Area}}_i)$

Draw building network configuration index in N grid by above algorithm:

$B\_\mathrm{Constr}=\underset{i}{\mathrm{\&Sigma;}}(\mathrm{BG}\_{\mathrm{<figure-callout\; id="1"\; label="Area"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Area</figure-callout>}}_1*G\_{\mathrm{<figure-callout\; id="1"\; label="Constr"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Constr</figure-callout>}}_1*G\_{\mathrm{<figure-callout\; id="1"\; label="Traffic"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Traffic</figure-callout>}}_1+{\mathrm{BG}\_\mathrm{<figure-callout\; id="2"\; label="Area"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Area</figure-callout>}}_2*{G\_\mathrm{<figure-callout\; id="2"\; label="Constr"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Constr</figure-callout>}}_2*{G\_\mathrm{<figure-callout\; id="2"\; label="Traffic"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Traffic</figure-callout>}}_2+....$

$+\mathrm{BG}\_{\mathrm{Area}}_n*{G\_\mathrm{Constr}}_n*{G\_\mathrm{Traffic}}_n/\underset{i}{\mathrm{\&Sigma;}}(G\_{\mathrm{<figure-callout\; id="1"\; label="Traffic"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Traffic</figure-callout>}}_1*{G\_\mathrm{<figure-callout\; id="1"\; label="Area"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Area</figure-callout>}}_1+{G\_\mathrm{<figure-callout\; id="2"\; label="Traffic"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Traffic</figure-callout>}}_2*{G\_\mathrm{<figure-callout\; id="2"\; label="Area"\; filenames="HDA0000124168490000011.png"\; state="\{\{state\}\}">Area</figure-callout>}}_2+....$

$G\_{\mathrm{Traffic}}_n*{G\_\mathrm{Area}}_{1n})$

Final as follows through calculating in the overlay area network structure index:

The every index of network configuration	Exponential quantity
		The network configuration index	0.207258
Overlapping cover index	3.0555
		The redundant cover index	0.1856
Weak coating ratio	2.0％
		Cross coating ratio	6.73％

4, optimization aim and condition setting

(1) optimization aim is set: in conjunction with the network actual conditions, the desired value of selecting KPI index that this suboptimization need to promote and expectation to reach, and the proportion (so as to balance different K PI index) that occupies in this suboptimization of different K PI index.

(2) comprise arranging and optimize zone and buffer area: the cellular engineering parameter of optimizing in the zone can be adjusted based on qualifications in optimizing process, cellular engineering parameter in the buffer area does not adjust in optimizing process, but to consider when assessment engineering parameter prioritization scheme its with optimize distinguish the residential quarter or between impact.

5, the chamber divides the site to optimize computing

Utilize valuation functions to be weighted sequence to building, the chamber subsystem that planning is best is built the address.

Chamber subsystem addressing subsystem utilizes valuation functions to be weighted sequence to building, and the chamber subsystem that planning is best is built the address.

Be shown below according to estimating the suitable function of building the chamber subsystem of building:

F＝K1*B_Constr+K2*B_Traffic+K3*B_Compla int

Consider field condition to K1, K2 and K3 weight coefficient arrange, in conjunction with B_Consti buildings network structure index, telephone traffic under the B_Traffic building covers, the number of times that in the B_Complaint building, generation is complained draws the interior F value in zone maximum, and finally definite indoor heating system is chosen the site.

In sum, in the present invention, adopt described a kind of chamber subsystem site selecting method and system, can accurately objectively calculate best subsystem address, chamber according to the MR declaration form, and then reduce and disturb and fully absorb traffic, solved network problem.

Claims (14)

1. a chamber subsystem site selecting method, is characterized in that, comprises step:

Extract measurement report MR, determine the positional information of MR;

Assessment area is processed according to specifying yardstick to carry out rasterizing, obtained the positional information of each grid of generating after rasterizing;

According to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR;

Grid or the area of grid and the network configuration index of the grid that covers according to building covers obtain the buildings network structure index;

The address of determining to set up the chamber subsystem according to described buildings network structure index.

2. the method for claim 1, it is characterized in that, the positional information of described definite MR comprises: the longitude and latitude according to the base station of the received signal level RxLev of the BCCH channel of broadcast control of six adjacent areas that comprise in the MR declaration form and described six adjacent areas calculates the longitude and latitude that MR occurs.

3. want 1 or 2 described methods as right, it is characterized in that, described assessment area is processed and comprised according to specifying yardstick to carry out rasterizing: assessment area is divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

4. want arbitrary described method in 1 to 3 as right, it is characterized in that, describedly determine that the MR that belongs to each grid comprises: the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

5. method as claimed in claim 4, is characterized in that, the MR that described basis belongs to each grid calculates the network configuration index of each grid, and the algorithm of employing is as follows:

MR declaration form network configuration index=count * 100% lower than the Traffic Channel TCH carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency;

The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid;

Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

6. method as claimed in claim 5, is characterized in that, uses algorithm to calculate the buildings network structure index, and described algorithm is as follows:

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

7. method as claimed in claim 6, is characterized in that, utilizes valuation functions to be weighted sequence to the owned building in assessment area, estimates building and be fit to build the chamber subsystem, and described valuation functions is shown below:

F＝K1*B_Constr+K2*B_Traffic+K3*B_Compla int

Wherein, B_Constr is the buildings network structure index, and B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, and B_Complaint is the number of times that in building, generation is complained, K1, K2 and K3 are weight coefficients;

Get the maximum building of F value as the building of building the chamber subsystem.

8. a chamber subsystem site selection system, is characterized in that, comprises Data Collection and MR positioning subsystem, MR rasterizing and grid network structure index computing subsystem, buildings network Structure Calculation subsystem and chamber subsystem addressing subsystem, wherein,

Described Data Collection and MR positioning subsystem are used for extracting measurement report MR, determine the positional information of MR;

Described MR rasterizing and grid network structure index computing subsystem are used for assessment area is processed according to specifying yardstick to carry out rasterizing, obtain the positional information of each grid of generating after rasterizing, also be used for according to described positional information, determine to belong to the MR of each grid, and obtain the network configuration index of each grid according to described MR;

Described buildings network Structure Calculation subsystem is used for obtaining the buildings network structure index according to the area of the grid of building covering or grid and the network configuration index of the grid that covers;

Described chamber subsystem addressing subsystem is for the address of determining to set up the chamber subsystem according to described buildings network structure index.

9. system as claimed in claim 8, is characterized in that,

Described Data Collection and positioning subsystem are further used for the longitude and latitude according to the base station of the received signal level RxLev of the BCCH channel of broadcast control of six adjacent areas that comprise in the MR declaration form and described six adjacent areas, calculate the longitude and latitude that MR occurs.

10. system as claimed in claim 9, it is characterized in that, described MR rasterizing and grid network structure index computing subsystem are further used for assessment area is divided the grid of horizontal and vertical arrangement according to 50*50 rice size, and obtain the longitude and latitude of each grid.

11. system as claimed in claim 10, it is characterized in that, described MR rasterizing and grid network structure index computing subsystem are further used for the positional information of each MR and the positional information of grid are compared, find the center of grid apart from the nearest grid in MR position, determine that this MR belongs to this grid.

12. system as claimed in claim 11 is characterized in that, described MR rasterizing and grid network structure index computing subsystem are further used for calculating according to the MR that belongs to each grid the network configuration index of each grid, and the algorithm of employing is as follows:

MR declaration form network configuration index=count * 100% lower than the Traffic Channel TCH carrier number of all residential quarters in peak signal 12dB scope in measurement report/theoretical available frequency;

The grid network structure index is the mean value that belongs to all MR declaration form network configuration indexes of this grid;

Wherein, G_Constr is the grid network structure index, and M_Constr is the network configuration index of MR, and N is MR number all in this grid.

13. system as claimed in claim 12 is characterized in that, buildings network Structure Calculation subsystem is further used for using algorithm to calculate the buildings network structure index, and described algorithm is as follows:

Wherein, value B_Constr is the buildings network structure index, G_Constr _iBe i grid network structure under the building covering, G_Traffic _iBe the telephone traffic of i grid, BG_Area _iBe building and i the area that grid is overlapping, G_Area _iBe i the area that grid is overlapping.

14. system as claimed in claim 13 is characterized in that, described chamber subsystem addressing subsystem is further used for utilizing valuation functions to be weighted sequence to the owned building in assessment area, and described valuation functions is shown below:

F＝K1*B_Constr+K2*B_Traffic+K3*B_Compla int

Wherein, B_Constr is the buildings network structure index, and B_Traffic is that the telephone traffic under building covers equals the lower grid of building covering or part grid traffic sum, and B_Complaint is the number of times that in building, generation is complained, K1, K2 and K3 are weight coefficients.

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