CN103179582B - A kind of room subsystem site selecting method and system - Google Patents

A kind of room subsystem site selecting method and system Download PDF

Info

Publication number
CN103179582B
CN103179582B CN201110438745.2A CN201110438745A CN103179582B CN 103179582 B CN103179582 B CN 103179582B CN 201110438745 A CN201110438745 A CN 201110438745A CN 103179582 B CN103179582 B CN 103179582B
Authority
CN
China
Prior art keywords
grid
network structure
subsystem
structure index
building
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201110438745.2A
Other languages
Chinese (zh)
Other versions
CN103179582A (en
Inventor
张哲�
李岩
郭永明
刘鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Group Hebei Co Ltd
Original Assignee
China Mobile Group Hebei Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Mobile Group Hebei Co Ltd filed Critical China Mobile Group Hebei Co Ltd
Priority to CN201110438745.2A priority Critical patent/CN103179582B/en
Publication of CN103179582A publication Critical patent/CN103179582A/en
Application granted granted Critical
Publication of CN103179582B publication Critical patent/CN103179582B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses a kind of room subsystem site selecting method and system, method includes step: extracts measurement report MR, determines the positional information of MR;By assessment area according to specifying yardstick to carry out rasterizing process, the positional information of each grid generated after obtaining rasterizing;According to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;Obtain buildings network structure index;The address setting up room subsystem is determined according to described buildings network structure index.System includes data collection and MR positioning subsystem, MR rasterizing and grid network structure Index for Calculation subsystem, buildings network Structure Calculation subsystem and room subsystem addressing subsystem.Have employed technical scheme, it is possible to according to MR declaration form, the most objectively calculate optimal subsystem address, room, and then reduce interference and fully absorb traffic, solve network problem.

Description

A kind of room subsystem site selecting method and system
Technical field
The wireless network planning that the present invention relates to mobile communication optimizes field, particularly to a kind of room subsystem site selecting method and system
Background technology
GSM (globalsystemformobilecommunications, global system for mobile communications) network structure is exactly the laying and configuring of base station in network, including station spacing, stand high, antenna direction and have a down dip, cell carrier configuration, the distribution of room inside/outside website, repeater distribution etc..The complicated network structure refers to that wireless signal is mixed and disorderly, overlapping and covers and to cross covering phenomenon serious, and causing wireless environment to deteriorate, frequency difficulty is arranged, and disturbs and makes an uproar rising the end of with.
Owing to the complexity of GSM network structure directly affects the quality of GSM network, therefore Topological expansion is the important topic that GSM network optimizes.GSM network structure optimization (i.e. reducing network structure index) means include reducing station height, adjustment antenna feeder azimuth absorbs the means such as macro station traffic with the traffic between angle of declination, Jun Heng community with building room subsystem, wherein build room subsystem absorb macro station traffic means in terms of optimizing network structure effect clearly and operability is extremely strong, be therefore the wide variety of means of operator of China Mobile.
At present, it is to complain situation and with reference to the macro station telephone traffic covering building with reference to certain building that room subsystem builds main method, from numerous buildings, selection needs most the building of construction room subsystem, i.e. carries out room subsystem addressing according to artificial experience coarse analysis.
As it is shown in figure 1, existing room subsystem site selecting method operates according to following steps:
1 pair of multiple building carries out complaining statistical analysis and building telephone traffic to estimate, it is ensured that the construction of room subsystem can solve the problem that relatively large user's perception problems in network;
Near 2 pairs of buildings, macro station telephone traffic is analyzed, it is ensured that after the subsystem of building room, it is possible to absorb the traffic of high traffic community, alleviates the traffic pressure of macro station;
The analysis of 3 summary 1 and 2 judges, selects i.e. to can solve the problem that the building deployment room subsystem that relatively multi-user's perception problems can absorb again macro station traffic.
Owing to the method for existing room subsystem addressing is substantially manually experiential operating, the operator that wherein customer complaint is different from absorbing the expection of macro station traffic effect has different judgements, the most important thing is that room subsystem absorbs this link determination methods of macro station traffic the most coarse, after can not guaranteeing room subsystem construction, macro station traffic is absorbed the assessment of quantitative, therefore can cause not selecting optimal building to build room subsystem, thus the room subsystem built up can be made cannot to effectively reduce interference and fully absorb traffic.
Summary of the invention
It is an object of the invention to provide a kind of room subsystem site selecting method and system, it is possible to according to MR declaration form, determine more preferably room subsystem address.
In one embodiment of the invention, it is provided that a kind of room subsystem site selecting method, including step: extract measurement report MR, determine the positional information of MR;By assessment area according to specifying yardstick to carry out rasterizing process, the positional information of each grid generated after obtaining rasterizing;According to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;The grid covered according to building or the area of grid and the network structure index of grid covered, obtain buildings network structure index;The address setting up room subsystem is determined according to described buildings network structure index.
A kind of room subsystem site selecting method of the present invention, further include steps of the BCCH (BroadcastControlChannel according to six adjacent areas comprised in MR declaration form, BCCH) the level RxLev (ReceivedSignalLevel of channel, received signal level) and the longitude and latitude of base station of described six adjacent areas, it is calculated the longitude and latitude that MR occurs
A kind of room subsystem site selecting method of the present invention, described process by assessment area and includes according to specifying yardstick to carry out rasterizing: assessment area divides according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtains the longitude and latitude of each grid.
A kind of room subsystem site selecting method of the present invention, described determine that the MR belonging to each grid includes: compared with the positional information of grid by the positional information of each MR, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
A kind of room subsystem site selecting method of the present invention, the network structure index of each grid is calculated according to the MR belonging to each grid, the algorithm used is as follows: MR declaration form network structure index=count * 100% less than TCH (TrafficChannel, the Traffic Channel) carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid;Wherein, G_Constr is grid network structure index, and M_Constr is the network structure index of MR, and N is all of MR number in this grid.
A kind of room subsystem site selecting method of the present invention, uses algorithm to be calculated buildings network structure index, and described algorithm is as follows: B _ Constr = ΣBG _ Area i * G _ Constr i * G _ Traffic i / Σ i ( G _ Traffic i * G _ Area i )
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiFor the area that i-th grid is overlapping.
A kind of room subsystem site selecting method of the present invention, utilize valuation functions that the owned building in assessment area is weighted sequence, described valuation functions is shown below: F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint is wherein, B_Constr is buildings network structure index, B_Traffic is that the telephone traffic under building covers covers lower grid or part grid traffic sum equal to building, B_Complaint is the interior number of times occurring to complain of building, K1, K2 and K3 are weight coefficients;Take the maximum building of F value as the building building room subsystem.
In another embodiment of the present invention, provide a kind of room subsystem site selection system, this system includes data collection and MR positioning subsystem, MR rasterizing and grid network structure Index for Calculation subsystem, buildings network Structure Calculation subsystem and room 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 for Calculation subsystem are for carrying out rasterizing process by assessment area according to appointment yardstick, the positional information of each grid generated after obtaining rasterizing, it is additionally operable to according to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;Described buildings network Structure Calculation subsystem is used for area and the network structure index of the grid covered of grid or the grid covered according to building, obtains buildings network structure index;Described room subsystem addressing subsystem sets up the address of room subsystem according to described buildings network structure index for determining.
A kind of room subsystem site selection system of the present invention, described data collection and positioning subsystem are further used for the level RxLev of the BCCH channel according to six adjacent areas comprised in MR declaration form and the longitude and latitude of the base station of described six adjacent areas, are calculated the longitude and latitude that MR occurs.
A kind of room subsystem site selection system of the present invention, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for dividing assessment area according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtain the longitude and latitude of each grid.
A kind of room subsystem site selection system of the present invention, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for comparing the positional information of each MR with the positional information of grid, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
A kind of room subsystem site selection system of the present invention, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for calculating the network structure index of each grid according to the MR belonging to each grid, and the algorithm of employing is as follows:
MR declaration form network structure index=count * 100% less than the TCH carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;
Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid;
G _ Constr = Σ i M _ Constr / N
Wherein, G_Constr is grid network structure index, and M_Constr is the network structure index of MR, and N is all of MR number in this grid.
A kind of room subsystem site selection system of the present invention, buildings network Structure Calculation subsystem is further used for using algorithm to be calculated buildings network structure index, and described algorithm is as follows:
B _ Constr = ΣBG _ Area i * G _ Constr i * G _ Traffic i / Σ i ( G _ Traffic i * G _ Area i )
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiFor the area that i-th grid is overlapping.
A kind of room subsystem site selection system of the present invention, described room subsystem addressing subsystem is further used for utilizing valuation functions that the owned building in assessment area is weighted sequence, and described valuation functions is shown below:
F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint
Wherein, B_Constr is buildings network structure index, and B_Traffic is that the telephone traffic under building covers covers lower grid or part grid traffic sum equal to building, and B_Complaint is the interior number of times occurring to complain of building, K1, K2 and K3 are weight coefficients.
The method have technical effect that, it is possible to according to MR declaration form, the most objectively calculate optimal subsystem address, room, and then reduce interference and fully absorb traffic, solve network problem.
Other features and advantages of the present invention will illustrate in the following description, and, partly become apparent from description, or understand by implementing the present invention.The purpose of the present invention and other advantages can be realized by structure specifically noted in the description write, claims and accompanying drawing and be obtained.
Below by drawings and Examples, technical scheme is described in further detail.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, is used for together with embodiments of the present invention explaining the present invention, is not intended that limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of room of the prior art subsystem site selecting method;
Fig. 2 is the flow chart of the room subsystem site selecting method in the specific embodiment of the invention one;
Fig. 3 is the schematic diagram of the room subsystem site selection system in the specific embodiment of the invention two.
Detailed description of the invention
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are illustrated, it will be appreciated that preferred embodiment described herein is merely to illustrate and explains 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, it is provided that a kind of room subsystem site selecting method, the method comprising the steps of as shown in Figure 2: extracts measurement report MR, determines the positional information of MR;By assessment area according to specifying yardstick to carry out rasterizing process, the positional information of each grid generated after obtaining rasterizing;According to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;The grid covered according to building or the area of grid and the network structure index of grid covered, obtain buildings network structure index;The address setting up room subsystem is determined according to described buildings network structure index.
A kind of room subsystem site selecting method of the present invention, further include steps of the level RxLev of BCCH channel according to six adjacent areas comprised in MR declaration form and the longitude and latitude of the base station of described six adjacent areas, utilizing algorithm, be calculated the longitude and latitude that MR occurs, described algorithm is as follows:
K((S_Latm-M_Latj)2+(S_Lonm-M_Lonj)2)1/2=TxPwrm-M_RxLevj
Wherein, m is 1 to 6, represents the base station at place, six communities;J is the numbering of MR, positions jth MR;S_LatmAnd S_LonmRepresent latitude and the longitude of m-th base station;M_LatjAnd M_LonjRepresent latitude and the longitude of jth MR;TxPwrmRepresent the transmitting power of m-th base station;K is constant;Base station corresponding to six adjacent areas provides above formula respectively, utilizes method of least square to obtain MR longitude and latitude.
A kind of room subsystem site selecting method of the present invention, described process by assessment area and includes according to specifying yardstick to carry out rasterizing: assessment area divides according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtains the longitude and latitude of each grid.
A kind of room subsystem site selecting method of the present invention, described determine that the MR belonging to each grid includes: compared with the positional information of grid by the positional information of each MR, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
A kind of room subsystem site selecting method of the present invention, calculate the network structure index of each grid according to the MR belonging to each grid, the algorithm of employing is as follows: MR declaration form network structure index=count * 100% less than the TCH carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid;Wherein, G_Constr is grid network structure index, and M_Constr is the network structure index of MR, and N is all of MR number in this grid.
A kind of room subsystem site selecting method of the present invention, uses algorithm to be calculated buildings network structure index, and described algorithm is as follows: B _ Constr = ΣBG _ Area i * G _ Constr i * G _ Traffic i / Σ i ( G _ Traffic i * G _ Area i )
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiFor the area that i-th grid is overlapping.
A kind of room subsystem site selecting method of the present invention, utilize valuation functions that the owned building in assessment area is weighted sequence, described valuation functions is shown below: F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint is wherein, B_Constr is buildings network structure index, B_Traffic is that the telephone traffic under building covers covers lower grid or part grid traffic sum equal to building, B_Complaint is the interior number of times occurring to complain of building, K1, K2 and K3 are weight coefficients;Take the maximum building of F value as the building building room subsystem.
As shown in Figure 3, in one embodiment of the invention, provide a kind of room subsystem site selection system, this system includes data collection and MR positioning subsystem, MR rasterizing and grid network structure Index for Calculation subsystem, buildings network Structure Calculation subsystem and room 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 for Calculation subsystem are for carrying out rasterizing process by assessment area according to appointment yardstick, the positional information of each grid generated after obtaining rasterizing, it is additionally operable to according to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;Described buildings network Structure Calculation subsystem is used for area and the network structure index of the grid covered of grid or the grid covered according to building, obtains buildings network structure index;Described room subsystem addressing subsystem sets up the address of room subsystem according to described buildings network structure index for determining.
A kind of room subsystem site selection system of the present invention, described data collection and MR positioning subsystem are further used for collecting the signaling of ABIS interface, extract MR from collected signaling.
A kind of room subsystem site selection system of the present invention, described data collection and MR positioning subsystem are further used for the level RxLev of the BCCH channel according to six adjacent areas comprised in MR declaration form and the longitude and latitude of the base station of described six adjacent areas, utilize algorithm, being calculated the longitude and latitude that MR occurs, described algorithm is as follows:
K((S_Latm-M_Latj)2+(S_Lonm-M_Lonj)2)1/2=TxPwrm-M_RxLevj
Wherein, m is 1 to 6, represents the base station at place, six communities;J is the numbering of MR, positions jth MR;S_LatmAnd S_LonmRepresent latitude and the longitude of m-th base station;M_LatjAnd M_LonjRepresent latitude and the longitude of jth MR;TxPwrmRepresent the transmitting power of m-th base station;K is constant;Base station corresponding to six adjacent areas provides above formula respectively, utilizes method of least square to obtain MR longitude and latitude.
A kind of room subsystem site selection system of the present invention, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for dividing assessment area according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtain the longitude and latitude of each grid.
A kind of room subsystem site selection system of the present invention, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for comparing the positional information of each MR with the positional information of grid, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
A kind of room subsystem site selection system of the present invention, the most described MR rasterizing and grid network structure Index for Calculation subsystem are further used for calculating the network structure index of each grid according to the MR belonging to each grid, and the algorithm of employing is as follows: MR declaration form network structure index=count * 100% less than the TCH carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid;Wherein, G_Constr is grid network structure index, and M_Constr is the network structure index of MR, and N is all of MR number in this grid.
A kind of room subsystem site selection system of the present invention, buildings network Structure Calculation subsystem is further used for using algorithm to be calculated buildings network structure index, and described algorithm is as follows:
B _ Constr = ΣBG _ Area i * G _ Constr i * G _ Traffic i / Σ i ( G _ Traffic i * G _ Area i )
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiFor the area that i-th grid is overlapping.
A kind of room subsystem site selection system of the present invention, described room subsystem addressing subsystem is further used for utilizing valuation functions that the owned building in assessment area is weighted sequence, and evaluation building is suitable for building the function of room subsystem and is shown below:
F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint
Wherein, B_Constr is buildings network structure index, and B_Traffic is that the telephone traffic under building covers covers lower grid or part grid traffic sum equal to building, and B_Complaint is the interior number of times occurring to complain of building, K1, K2 and K3 are weight coefficients.
In a project of the room subsystem site selecting method based on the assessment of MR network structure and system that use the present invention, assess by MR data are become more meticulous and analyze and adjust substation location, room and parameter, thus improve the network structure of * * * * branch company GSM network, reduce net internal interference, promote network quality, verify this accuracy based on MR device and effectiveness simultaneously.
The optimization region of this project includes * * area 112 GSM900 communities, 32 Ge Shifen communities.This company of city has also put into substantial amounts of manpower and materials and keeps the system index in this region to be in the highest level for a long time, but owing to network environment is complicated, can there is the problems such as the quality that caused by interference unavoidably.The MR report obtained, the problem points being accurately positioned in region are collected in this suboptimization mainly by software analysis.Carry out efficient intelligent search and option screening, network optimization region is carried out the adjustment of entirety, thus the lifting of indices in reaching region, promotes the use perceptibility of city user.
Project flow process is as follows:
1, data collection
2, MR location
According to MR location algorithm, reporting the level RxLev (incoming level) of 6 community BCCH at some point, and the longitude and latitude of these six neighbor base stations positions, formula is as follows:
K((S_Latm-M_Latj)2+(S_Lonm-M_Lonj)2)1/2=TxPwrm-M_RxLevj
1st measurement report calculation of longitude & latitude (m refers to 6 reporting neighboring cells):
K ( S _ Lat 1 - M _ Lat 1 ) 2 + ( S _ Lon 1 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 1 - M _ RxLev 1 K ( S _ Lat 2 - M _ Lat 1 ) 2 + ( S _ Lon 2 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 2 - M _ RxLev 1 K ( S _ Lat 3 - M _ Lat 1 ) 2 + ( S _ Lon 3 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 3 - M _ RxLev 1 K ( S _ Lat 4 - M _ Lat 1 ) 2 + ( S _ Lon 4 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 4 - M _ RxLev 1 K ( S _ Lat 5 - M _ Lat 1 ) 2 + ( S _ Lon 5 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 5 - M _ RxLev 1 K ( S _ Lat 6 - M _ Lat 1 ) 2 + ( S _ Lon 6 - M _ Lon 1 ) 2 = 1 / 2 TxPwr 6 - M _ RxLev 1
Base station corresponding to six adjacent areas can provide above formula, and method of least square finally can be utilized to obtain measurement report position: M_Lat1And M_Lon1
2nd measurement report calculation of longitude & latitude (six adjacent areas):
K ( S _ Lat 1 - M _ Lat 2 ) 2 + ( S _ Lon 1 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 1 - M _ RxLev 1 K ( S _ Lat 2 - M _ Lat 2 ) 2 + ( S _ Lon 2 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 2 - M _ RxLev 1 K ( S _ Lat 3 - M _ Lat 2 ) 2 + ( S _ Lon 3 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 3 - M _ RxLev 1 K ( S _ Lat 4 - M _ Lat 2 ) 2 + ( S _ Lon 4 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 4 - M _ RxLev 1 K ( S _ Lat 5 - M _ Lat 2 ) 2 + ( S _ Lon 5 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 5 - M _ RxLev 1 K ( S _ Lat 6 - M _ Lat 2 ) 2 + ( S _ Lon 6 - M _ Lon 2 ) 2 = 1 / 2 TxPwr 6 - M _ RxLev 1
Base station corresponding to six adjacent areas can provide above formula, and method of least square finally can be utilized to obtain measurement report position: M_Lat2And M_Lon2
……
By that analogy, n-th measurement report draws
K ( S _ Lat 1 - M _ Lat N ) 2 + ( S _ Lon 1 - M _ Lon N ) 2 = 1 / 2 TxPwr 1 - M _ RxLev 1 K ( S _ Lat 2 - M _ Lat N ) 2 + ( S _ Lon 2 - M _ Lon N ) 2 = 1 / 2 TxPwr 2 - M _ RxLev 1 K ( S _ Lat 3 - M _ Lat N ) 2 + ( S _ Lon 3 - M _ Lon N ) 2 = 1 / 2 TxPwr 3 - M _ RxLev 1 K ( S _ Lat 4 - M _ Lat N ) 2 + ( S _ Lon 4 - M _ Lon N ) 2 = 1 / 2 TxPwr 4 - M _ RxLev 1 K ( S _ Lat 5 - M _ Lat N ) 2 + ( S _ Lon 5 - M _ Lon N ) 2 = 1 / 2 TxPwr 5 - M _ RxLev 1 K ( S _ Lat 6 - M _ Lat N ) 2 + ( S _ Lon 6 - M _ Lon N ) 2 = 1 / 2 TxPwr 6 - M _ RxLev 1
Base station corresponding to six adjacent areas can provide above formula, and method of least square finally can be utilized to obtain measurement report position: M_LatNAnd M_LonN
Calculate, by above method, each MR measurement report that the every 480ms of mobile phone reports, map is carried out render distribution, obtain the location figure of MR.
3, network evaluation
Network structure index in the area coverage of Evaluation Room branch website and other index of correlation:
Computational methods according to buildings network structure:
B _ Constr = ΣBG _ Area i * G _ Constr i * G _ Traffic i / Σ i ( G _ Traffic i * G _ Area i )
Building network structure index in N number of grid is drawn by algorithm above:
B _ Constr = Σ i ( BG _ Area 1 * G _ Constr 1 * G _ Traffic 1 + BG _ Area 2 * G _ Constr 2 * G _ Traffic 2 + . . . .
+ BG _ Area n * G _ Constr n * G _ Traffic n / Σ i ( G _ Traffic 1 * G _ Area 1 + G _ Traffic 2 * G _ Area 2 + . . . .
G _ Traffic n * G _ Area 1 n )
Eventually pass through network structure index in calculating overlay area as follows:
The every index of network structure Exponential quantity
Network structure index 0.207258
Overlapping cover index 3.0555
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: combine network practical situation, selects this suboptimization to need the desired value that the KPI index promoted reaches with expectation, and the proportion (so as to the different KPI index of balance) that different KPI index occupies in this suboptimization.
(2) include arranging and optimize region and buffer area: the cellular engineering parameter optimizing in region can be adjusted based on qualifications during optimizing, cellular engineering parameter in buffer area optimize during do not adjust, but assess engineering parameter prioritization scheme time to consider itself and optimize community, district or between impact.
5, substation location in room optimizes computing
Utilize valuation functions that building is weighted sequence, plan that optimal room subsystem builds address.
Room subsystem addressing subsystem utilizes valuation functions that building is weighted sequence, plans that optimal room subsystem builds address.
The function being suitable for building room subsystem according to evaluation building is shown below:
F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint
Consider that K1, K2 and K3 weight coefficient is configured, in conjunction with B_Consti buildings network structure index by field condition, telephone traffic under the covering of B_Traffic building, the number of times complained occurs in B_Complaint building, and in drawing region, F value is maximum, finally determines that indoor heating system chooses site.
In sum, in the present invention, a kind of room subsystem site selecting method described in employing and system, it is possible to according to MR declaration form, the most objectively calculates optimal subsystem address, room, and then reduces interference and fully absorb traffic, solve network problem.

Claims (10)

1. a room subsystem site selecting method, it is characterised in that include step:
Extract measurement report MR, determine the positional information of MR;
By assessment area according to specifying yardstick to carry out rasterizing process, the positional information of each grid generated after obtaining rasterizing;
According to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;
The grid covered according to building or the area of grid and the network structure index of grid covered, obtain buildings network structure index;
The address setting up room subsystem is determined according to described buildings network structure index;
Wherein, using algorithm to be calculated buildings network structure index, described algorithm is as follows:
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure index under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiArea for i-th grid;
Utilizing valuation functions that the owned building in assessment area is weighted sequence, described valuation functions is shown below:
F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint
Wherein, B_Constr is buildings network structure index, and B_Traffic is the telephone traffic under building covers, lower grid or part grid traffic sum is covered equal to building, B_Complaint is the interior number of times occurring to complain of building, and K1, K2 and K3 are weight coefficients;
Take the maximum building of F value as the building building room subsystem.
2. the method for claim 1, it is characterized in that, the positional information of the described MR of determination includes: according to the received signal level RxLev of the BCCH channel of broadcast control of six adjacent areas comprised in MR declaration form and the longitude and latitude of the base station of described six adjacent areas, be calculated the longitude and latitude that MR occurs.
3. method as claimed in claim 1 or 2, it is characterised in that described assessment area is processed and includes according to specifying yardstick to carry out rasterizing: assessment area is divided according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtains the longitude and latitude of each grid.
4. method as claimed in claim 1 or 2, it is characterized in that, described determine that the MR belonging to each grid includes: compared with the positional information of grid by the positional information of each MR, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
5. method as claimed in claim 4, it is characterised in that described basis belongs to the MR of each grid and calculates the network structure index of each grid, and the algorithm of employing is as follows:
MR declaration form network structure index=count * 100% less than the Traffic Channel TCH carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;
Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid.
6. a room subsystem site selection system, it is characterised in that include data collection and MR positioning subsystem, MR rasterizing and grid network structure Index for Calculation subsystem, buildings network Structure Calculation subsystem and room 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 for Calculation subsystem are for carrying out rasterizing process by assessment area according to appointment yardstick, the positional information of each grid generated after obtaining rasterizing, it is additionally operable to according to described positional information, determine the MR belonging to each grid, and obtain the network structure index of each grid according to described MR;
Described buildings network Structure Calculation subsystem is used for area and the network structure index of the grid covered of grid or the grid covered according to building, obtains buildings network structure index;
Described room subsystem addressing subsystem sets up the address of room subsystem according to described buildings network structure index for determining;
Buildings network Structure Calculation subsystem is further used for using algorithm to be calculated buildings network structure index, and described algorithm is as follows:
Wherein, value B_Constr is buildings network structure index, G_ConstriI-th grid network structure index under covering for building, G_TrafficiFor the telephone traffic of i-th grid, BG_AreaiFor the area that building is overlapping with i-th grid, G_AreaiArea for i-th grid;
Described room subsystem addressing subsystem is further used for utilizing valuation functions that the owned building in assessment area is weighted sequence, and described valuation functions is shown below:
F=K1*B_Constr+K2*B_Traffic+K3*B_Complaint
Wherein, B_Constr is buildings network structure index, and B_Traffic is the telephone traffic under building covers, lower grid or part grid traffic sum is covered equal to building, B_Complaint is the interior number of times occurring to complain of building, and K1, K2 and K3 are weight coefficients;Take the maximum building of F value as the building building room subsystem.
7. system as claimed in claim 6, it is characterised in that
Described data collection and positioning subsystem are further used for the received signal level RxLev of the BCCH channel of broadcast control according to six adjacent areas comprised in MR declaration form and the longitude and latitude of the base station of described six adjacent areas, are calculated the longitude and latitude that MR occurs.
8. system as claimed in claim 7, it is characterised in that described MR rasterizing and grid network structure Index for Calculation subsystem are further used for dividing assessment area according to 50*50 rice size the grid of horizontal and vertical arrangement, and obtain the longitude and latitude of each grid.
9. system as claimed in claim 8, it is characterized in that, described MR rasterizing and grid network structure Index for Calculation subsystem are further used for comparing the positional information of each MR with the positional information of grid, find the grid that the center of grid is nearest away from MR position, determine that this MR belongs to this grid.
10. system as claimed in claim 9, it is characterised in that described MR rasterizing and grid network structure Index for Calculation subsystem are further used for calculating the network structure index of each grid according to the MR belonging to each grid, and the algorithm of employing is as follows:
MR declaration form network structure index=count * 100% less than the Traffic Channel TCH carrier number/theory available frequency of communities all in the range of peak signal 12dB in measurement report;
Grid network structure index is the meansigma methods of all MR declaration form network structure indexes belonging to this grid.
CN201110438745.2A 2011-12-23 2011-12-23 A kind of room subsystem site selecting method and system Active CN103179582B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201110438745.2A CN103179582B (en) 2011-12-23 2011-12-23 A kind of room subsystem site selecting method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201110438745.2A CN103179582B (en) 2011-12-23 2011-12-23 A kind of room subsystem site selecting method and system

Publications (2)

Publication Number Publication Date
CN103179582A CN103179582A (en) 2013-06-26
CN103179582B true CN103179582B (en) 2016-08-03

Family

ID=48639141

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201110438745.2A Active CN103179582B (en) 2011-12-23 2011-12-23 A kind of room subsystem site selecting method and system

Country Status (1)

Country Link
CN (1) CN103179582B (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103441805B (en) * 2013-07-17 2015-10-28 北京神州泰岳软件股份有限公司 Signal monitoring and optimization method, system
CN104754590B (en) * 2013-12-31 2018-10-26 中国移动通信集团山东有限公司 A kind of method and device of assessment long term evolution LTE network site
CN105072625B (en) * 2015-07-24 2019-02-19 辽宁邮电规划设计院有限公司 Based on the room more means LTE point construction analysis decision-making system and method
CN106535204B (en) * 2015-09-10 2019-08-02 中国移动通信集团上海有限公司 A kind of service coverage method for evaluating quality and device
CN106686611B (en) * 2015-11-06 2020-12-11 中国移动通信集团设计院有限公司 Method and device for evaluating indoor weak coverage area
CN107027138B (en) * 2016-01-29 2019-09-17 中国移动通信集团福建有限公司 A kind of room divides hidden failure to check method and device
CN108124267B (en) * 2016-11-28 2021-03-30 中国移动通信集团湖南有限公司 Automatic planning method and device for base station
CN108200584B (en) * 2016-12-08 2021-08-31 中国移动通信集团四川有限公司 Screening method and device for WLAN (Wireless local area network) station to be built
CN106686610A (en) * 2017-02-23 2017-05-17 武汉烽火技术服务有限公司 Internet communication base station site selection method and system based on customer complaining
CN109840452A (en) * 2017-11-28 2019-06-04 中国移动通信集团浙江有限公司 A kind of grid covering scene automatic identifying method and device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101426206A (en) * 2008-11-26 2009-05-06 中国移动通信集团广东有限公司 Method and system for gridding communication network call distribution
CN101511090A (en) * 2008-11-25 2009-08-19 中国移动通信集团广东有限公司 Indoor shrouding autodesign optimizing system and method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008097694A1 (en) * 2007-02-05 2008-08-14 Andrew Corporation System and method for optimizing location estimate of mobile unit

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101511090A (en) * 2008-11-25 2009-08-19 中国移动通信集团广东有限公司 Indoor shrouding autodesign optimizing system and method
CN101426206A (en) * 2008-11-26 2009-05-06 中国移动通信集团广东有限公司 Method and system for gridding communication network call distribution

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"基于MR的GSM无线网络优化方法";蔡庆宇,肖瑞,耿玉液等;《电信技术》;20111130;全文 *

Also Published As

Publication number Publication date
CN103179582A (en) 2013-06-26

Similar Documents

Publication Publication Date Title
CN103179582B (en) A kind of room subsystem site selecting method and system
CN101547449B (en) Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization
EP3890361B1 (en) Cell longitude and latitude prediction method and device, server, base station, and storage medium
CN102065432B (en) Transmission model-based network coverage correcting method and system
CN103118369B (en) The system of selection of site and equipment and grid system of selection and equipment
CN103179580B (en) A kind of adaptive coverage optimization method and device
CN102395136B (en) Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof
CN103369571B (en) Propagation model revision based on many nets combined measurement and coverage self-optimization method
CN103702338A (en) Method for rapidly establishing indoor wireless signal fingerprint database
CN105282784B (en) Method based on the overlapping covering of measurement report data system positioning and optimizing TDD-LTE network
CN101150836A (en) Radio precise planning analog and testing system and method
CN104125580B (en) A kind of network plan method and device
CN106231621A (en) A kind of many scene adaptives optimization method of propagation model in FDD LTE system
CN103458434B (en) Method and device for determining antenna feeder parameters
CN103841602A (en) Neighborhood configuration method and system
CN104754590A (en) Method and device for assessing LTE (long term evolution) network sites
CN102325333B (en) Indoor neighbor cell coverage planning method of multi-storey building based on radio frequency remote system
CN104486772A (en) End-to-end multi-dimension normalization LTE (long term evolution) network evaluation optimization system
CN102883332B (en) Method and device for determining base station site
CN106937296A (en) A kind of method and device for disposing cellular basestation
CN106332130B (en) Base station investigation method, device and system
CN101951627B (en) Assessment method and system for frequency restriction
CN101854642B (en) Network quality analysis method and planning system of broadcast television coverage network
CN102781020A (en) Method and system for positioning area with obvious network structure problem
CN104735707B (en) A kind of failure antenna positioning method, device and electronic equipment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant