CN104349359A - Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data - Google Patents
Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data Download PDFInfo
- Publication number
- CN104349359A CN104349359A CN201310337296.1A CN201310337296A CN104349359A CN 104349359 A CN104349359 A CN 104349359A CN 201310337296 A CN201310337296 A CN 201310337296A CN 104349359 A CN104349359 A CN 104349359A
- Authority
- CN
- China
- Prior art keywords
- community
- cell
- serving cell
- bcch
- commonbcch
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention relates to a method for analyzing CommonBCCH cell reversal using MR (Measured Report) data. The method comprises the following steps: according to the measured data continuously reported by a cell, combined with network base data information, matching and identifying the reported adjacent cell according to a combination of BCCH (Broadcast Control Channel) / BSIC (Base Station Identification Code), and then calculating to obtain the same frequency interference influence degree of different cells according to the difference in strength between the cells based on different frequency bands, and calculating the relevancy to obtain whether the coverage of BTS at different frequency bands at the same cell is consistent or not. Useful information can be extracted from vast amounts of mobile measured data, and the coverage difference reflected in the cell at different frequency bands can be calculated, so that whether BTSs at different frequency bands at the cell are reversed or not is qualitatively analyzed, and the analysis result can provide a strong support for troubleshooting and network optimization.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of MR of utilization data analysis CommonBCCH community and connect anti-method.
Background technology
At GSM(Global System for Mobile communication, global system for mobile communications) in the middle of Optimization Work, first need to confirm the accuracy of the Back ground Informations such as the covering orientation of each community, the problem of various communication switching exception can be caused if there is reverse connection of antenna, if adopt many BTS to form same community, connect the optimization instead cannot carrying out frequency and adjacent area by MR in community to solve, become network problem point.Simultaneously because the covering of BCCH and TCH is inconsistent, cause carrying out proper communication activity, waste Internet resources, have a strong impact on network quality and client perception.At present, under the western equipment of promise, 900/1800 double frequency networking major part can adopt the mode of CommonBCCH to carry out, so it is very necessary to connect anti-investigation to such community.
Summary of the invention
The object of this invention is to provide a kind of MR of utilization data analysis CommonBCCH community and connect anti-method, anti-analysis can be connect to whether existing between each community, CommonBCCH base station, for the CommonBCCH Optimization analyses in real network provides strong support with qualitative fashion.
The object of the invention is to be achieved through the following technical solutions:
The invention provides a kind of MR of utilization data analysis CommonBCCH community and connect anti-method, it comprises:
Step 100, the MR data (comprising nearby region measurement DAC and non-nearby region measurement CF) of collection network Nei Ge community; Comprise in described test data: the BCCH channel of broadcast control/Base transceiver Station Identity Code BSIC information of the level measurement data of main Serving cell and adjacent area, main Serving cell and adjacent area;
Step 200, in conjunction with the described cell basis network information, the BCCH/BSIC of that obtain according to each sampled point, main Serving cell and adjacent area, positions identification to adjacent area, and calculates co-channel interference probability;
Step 300, for the co-channel interference probability generated, calculate the degree of correlation of the probability of interference of main Serving cell 900 frequency range BTS and peripheral cell and the co-channel interference probability of main Serving cell 1800 frequency range BTS and peripheral cell, whether exist in the multiple cell of the same site of comparison multiple degree of correlation lower than 0.8 community, if exist, then have reason to suspect that changing base station exists a certain frequency range BTS and connect anti-situation.
Wherein, in step 100, the process of the MR data of collection network Nei Ge community comprises:
The one or more BA tables carried out in community in whole BCCH frequency range are measured, and collect the mobile phone terminal radio environment information in cell coverage area;
According to the information of mobile terminal reporting in the covering orientation of main Serving cell, obtain the corresponding measurement data in each community.Herein, the BTS metrical information of different frequency range is deposited respectively.
Wherein, step 200 comprises: according to the cell basis network information, by the BCCH/BSIC that the adjacent area/non-adjacent area obtained in each community is corresponding, six adjacent areas that the level measurement data obtained each community are the strongest, position identification respectively, and by nearest be principle, determine the adjacent area that each main Serving cell of cell measurement reporting middle distance is nearest; Afterwards according to the normal distribution of level difference value in measurement report, calculate each community and around it, same frequency of each community affects probability.Herein, the BTS metrical information of different frequency range is calculated respectively.
Wherein, step 300 comprises:
The co-channel interference probability of the main Serving cell 900 frequency range BTS calculated according to previous step and the co-channel interference probability of each peripheral cell, main Serving cell 1800 frequency range BTS and each peripheral cell, the degree of correlation of both calculating, uses formula as follows:
X: the co-channel interference probability of main Serving cell 900 frequency range BTS and each peripheral cell
Y: the co-channel interference probability of main Serving cell 1800 frequency range BTS and each peripheral cell
Select the degree of correlation lower than the community of 0.8, and screen in same base station and whether there is two or more community and there is this situation, if existed, then think that there is a certain frequency range BTS in this base station connects anti-situation.
Accompanying drawing explanation
Fig. 1 is flow chart of the present invention;
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, Common community being obtained to the present invention and connects anti-method and be described in further detail.
In the embodiment of the present invention, for gsm wireless communication network, specific embodiments of the invention are described, but the present invention is not limited to gsm wireless communication network.
Its flow process as shown in Figure 1, comprises the steps:
Step S100, collects test data in existing network Nei Ge community; Following information is extracted: the BCCH(Broadcast Control Channel of the level measurement data of main Serving cell and adjacent area the last six, main Serving cell and adjacent area from test data, Broadcast Control Channel frequency), BSIC(Base Station Identification Code, Base transceiver Station Identity Code) information.
When collecting test data, every day makes BA table to each community, comprise every day fixing adjacent area BCCH frequency point information and and community, outer periphery non-adjacent area BCCH frequency, until the BCCH in all BCCH frequency ranges is all measured at least one time.During measurement, network variation (comprise amendment BCCH, BSIC and newly open base station etc.) should be reduced; For ensureing measurement accuracy, the period of network stabilization should be selected; For avoiding the different impact on measurement accuracy of the network busy of Different periods, each BA table should at least daylong information of measurement collection.
According to GSM specification, in order to carry out power control and switching controls to the mobile phone in call, network must obtain the relevant information of mobile phone, and these information are reported by mobile phone.For the mobile phone in GSM network, under talking state, mobile phone is with the cycle of 480 milliseconds, the measurement report of Serving cell measured by it and adjacent cell is regularly reported to network, each measurement report mainly comprises: the BCCH of main Serving cell, signal level intensity, speech quality and TA(TimeAdvance, Timing Advance) value etc., also comprise the BCCH of 6 the strongest adjacent cells of signal, signal level and BSIC etc. in addition.
Use the function that network OMC database carries, all can according to the form of specifying, following information is extracted: Measuring Time, Measuring Time cycle, sampled point main Serving cell LAC(Location Area Code from measurement data, lane place identification code), sampled point main Serving cell CI(Cell Identity, cell ID), standard deviation, sampled point main Serving cell BCCH, the main Serving cell BSIC of sampled point of sampled point main cell receiver level mean intensity RxlevlSub and this intensity; Receiving level strength is positioned at the receiving level strength RxlevelSub of six adjacent areas of the first six and standard deviation, BCCH and BSIC of this intensity.
Step S200, the process of step 201 to step 205 is carried out respectively to the different measuring report of 90,0/1,800 two frequency ranges, in conjunction with the described cell basis network information, the BCCH/BSIC of that obtain according to each sampled point, main Serving cell and adjacent area, identification is positioned to adjacent area, and calculates co-channel interference probability.
To each measurement, the identification information of main Serving cell can be obtained from LAC and CI of main Serving cell, therefore be also easy to be associated with concrete cell name according to this identification information, and the information in the last six adjacent area only has BCCH and BSIC, therefore need to be matched in concrete cell name by the combination of BCCH and BSIC.Concrete step is as follows:
Step 201, extracts the basic network information configuration table of network Nei Ge community, obtains the adjacent area mapping table mated with main Serving cell; According to this mapping table, preferentially extracting in test data is that BCCH and BSIC of adjacent area, main Serving cell and the community defining neighboring BS relationship carries out adjacent area coupling.For coupling less than adjacent area BCCH and BSIC, then proceed to step 202; For adjacent area BCCH and BSIC matched, then perform step S300;
Step 202, according to BCCH and BSIC of the adjacent area that sampled point reports, extracting all in basic network information is communities of the combination of this BCCH and BSIC;
Step 203, extracts the longitude and latitude of sampled point; Step 201 is mated less than and community in the cell list extracted in step 202, according to the distance of each community of this calculation of longitude & latitude and sampled point;
Step 204, compares the distance of gained and setpoint distance value, if be greater than, then abandoned this adjacent area and does not do subsequent processes; If be less than, then the community that chosen distance is minimum is as the adjacent area of the main Serving cell of this sampled point this BCCH and BSIC corresponding.
Setpoint distance value in step 204 can be 5 kilometers, also can be doubly to set according to the 2-3 of maximum distance in all adjacent areas, main Serving cell, and this can rely on practical engineering experience to adjust.
Step 205, according to communications industry correlation experience, the BCCH level intensity of Serving cell meets normal distribution, the peripheral cell BCCH signal strength signal intensity received in this community also meets normal distribution, according to these two normal distributions, the co-channel interference probability (probability of Serving cell BCCH level intensity-periphery community BCCH level intensity <-12dB) of each Serving cell and its each peripheral cell can be calculated.
In GSM specification, interference protection ratio is exactly the ratio of hope signal level and the non-hope signal level received, and this value is relevant with the position at any time of MS.This is because the shape of topographic irregularity and local scattering, type and quantity are different, and some other factor is as antenna type, directivity and height, and the absolute altitude of site and position, local interference source number etc. causes.Specify in GSM specification:
Uniform-frequency crosstalk protective ratio: C/I>9dB(real work uses 12dB, reserved 3dB surplus)
To each sampled point, adjacent area can be obtained and whether main Serving cell is had to the probability producing co-channel interference and adjacent frequency interference, as CIdiff<=9, have co-channel interference probability.
Step S300, divides each community to calculate the degree of correlation to 900 and 1,800 two probability of interference tables that step 205 obtains, and filters out the base station that there are two or more degree of correlation communities.
Step S301, divides each community to calculate the degree of correlation, according to following formulae discovery to 900 and 1,800 two probability of interference tables that step 205 obtains:
X: the co-channel interference probability of main Serving cell 900 frequency range BTS and each peripheral cell
Y: the co-channel interference probability of main Serving cell 1800 frequency range BTS and each peripheral cell
For the degree of correlation lower than the community of 0.8, think that the region that two frequency range covers is different,
Step S302, filters out the base station that there are two or more low degree of correlation communities, for these base stations, can think that two or more communities exist 900/1800 intersection and connect anti-situation.
Because this method is the result of adding up based on MR measurement report obtain accordingly result, therefore community internal traffic is more in theory, more can close to actual value.But owing to carrying out differing from optimizing and revising of its other frequency range BTS to a certain frequency range BTS of a certain community in the change of traffic and actual optimization work, not necessarily can accurate all problems community, but for the problem cells found, according to practical experience, be accurately.
As can be seen from the above-described embodiment, above-described embodiment is based on rational theory deduction, and basic network data, community traverse measurement data etc. according to input are analyzed, and obtains the interference model difference reflecting co-channel interference disturbance degree between the different frequency range of community.Finally can realize following function within a wireless communication network:
The interference effect degree reflected between community and community can be set up respectively according to traverse measurement data between the different frequency range of existing network community; And then the difference of different frequency range interference effect degree, judges that the covering otherness of frequency range is closed, whether positioning antenna connects instead with intersecting with other communities of stand, can effectively find network hidden failure like this, to ensure that MPS process rationalizes, reach the object of Logistics networks quality.
The above; be only the present invention's preferably embodiment, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (5)
1. utilize MR data analysis CommonBCCH community to connect an anti-method, it is characterized in that, comprising:
Step 100, the MR data (comprising nearby region measurement DAC and non-nearby region measurement CF) of collection network Nei Ge community; Comprise in described test data: the BCCH channel of broadcast control/Base transceiver Station Identity Code BSIC information of the level measurement data of main Serving cell and adjacent area, main Serving cell and adjacent area;
Step 200, in conjunction with the described cell basis network information, the BCCH/BSIC of that obtain according to each sampled point, main Serving cell and adjacent area, positions identification to adjacent area, and calculates co-channel interference probability;
Step 300, for the co-channel interference probability generated, calculate the degree of correlation of the probability of interference of main Serving cell 900 frequency range BTS and peripheral cell and the co-channel interference probability of main Serving cell 1800 frequency range BTS and peripheral cell, whether exist in the multiple cell of the same site of comparison multiple degree of correlation lower than 0.8 community, if exist, then have reason to suspect that changing base station exists a certain frequency range BTS and connect anti-situation.
2. utilize MR data analysis CommonBCCH community to connect anti-method according to claim 1, it is characterized in that, described step 100 Zhong community is carried out BA and is shown poll, and frequency-division section gathers the measurement report information of mobile terminal:
The amendment of BA table is carried out, until each community is all measured all BCCH frequencies in community;
According to the information of the mobile terminal reporting in main Serving cell, obtain the measurement data of each community to the peripheral cell of different B CCH and BSIC.
3. according to claim 1 or 2, utilize MR data analysis CommonBCCH community to connect anti-method, it is characterized in that, described step 200 comprises:
According to community traverse measurement information, the BCCH/BSIC that the adjacent area obtained by each sampled point is corresponding, six adjacent areas that the level measurement data obtained each sampled point are the strongest, position identification respectively, and by nearest be principle, determine the adjacent area that each main Serving cell of sampled point middle distance is nearest;
The co-channel interference probability of Serving cell under two frequency ranges and each peripheral cell is calculated respectively according to the BCCH level conditions of main Serving cell and the BCCH level conditions of peripheral cell.
4. utilize MR data analysis CommonBCCH community to connect anti-method according to claim 3, it is characterized in that, described step 300 comprises:
Co-channel interference probability calculation according to the Serving cell under two frequency ranges and each peripheral cell goes out the degree of correlation;
Filter out the community of the degree of correlation lower than thresholding;
To all base stations by setting rule-based filtering, select the base station of two or more communities lower than thresholding, these base stations are CommonBCCH and connect anti-base station.
5. utilize MR data analysis CommonBCCH community to connect anti-method according to claim 4, it is characterized in that, described to all communities by setting rule-based filtering process comprise:
Using under the frequency range of two, Serving cell to the co-channel interference probability correlation degree of each peripheral cell lower than 0.8 community as alternative question community.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310337296.1A CN104349359A (en) | 2013-08-05 | 2013-08-05 | Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310337296.1A CN104349359A (en) | 2013-08-05 | 2013-08-05 | Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104349359A true CN104349359A (en) | 2015-02-11 |
Family
ID=52503968
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310337296.1A Pending CN104349359A (en) | 2013-08-05 | 2013-08-05 | Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104349359A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109788504A (en) * | 2019-02-21 | 2019-05-21 | 中国联合网络通信集团有限公司 | Reverse connection of antenna detection method and device |
-
2013
- 2013-08-05 CN CN201310337296.1A patent/CN104349359A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109788504A (en) * | 2019-02-21 | 2019-05-21 | 中国联合网络通信集团有限公司 | Reverse connection of antenna detection method and device |
CN109788504B (en) * | 2019-02-21 | 2022-03-15 | 中国联合网络通信集团有限公司 | Antenna reverse connection detection method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP3890361B1 (en) | Cell longitude and latitude prediction method and device, server, base station, and storage medium | |
US11800373B2 (en) | System and method for 3D propagation modelling for planning of a radio network | |
CN104244307B (en) | Anomalous event reports, processing method, device, base station and management server | |
CN101547449B (en) | Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization | |
CN102083090B (en) | Method and device for positioning interference source | |
CN103179580B (en) | A kind of adaptive coverage optimization method and device | |
CN102075902B (en) | Method and device for determining new neighbor cell of serving cell | |
CN105282784B (en) | Method based on the overlapping covering of measurement report data system positioning and optimizing TDD-LTE network | |
US11606725B2 (en) | Wireless band priority metrics analysis and response | |
CN103596650A (en) | Wireless network information management method and network equipment | |
Guan et al. | Research on evaluation method of wireless network cross-boundary coverage based on smart terminals location data | |
CN107371183B (en) | Method and device for outputting network quality report | |
CN103581990B (en) | A kind of method and device determining that repeater absorbs telephone traffic | |
CN102821407A (en) | Method and system for establishing identical and adjacent frequency interference model for cell roads through test data | |
CN103906078A (en) | Relation matrix establishment system and method and PCI intelligent optimization system and method | |
CN109600792A (en) | A kind of localization method of LTE MR data | |
CN101674599A (en) | Detection method and detection system of boundary roaming cell | |
CN104735707B (en) | A kind of failure antenna positioning method, device and electronic equipment | |
CN104349359A (en) | Method for analyzing CommonBCCH cell reversal using MR (Measured Report) data | |
CN103763728A (en) | Method for analyzing CommonBCCH coverage difference | |
Horsmanheimo et al. | A tool for assessing interdependency of mobile communication and electricity distribution networks | |
CN105191397B (en) | Base station, coordinator and method for eliminating network service hot spot | |
CN104469834A (en) | Service simulation-perception-evaluation method and system | |
CN115580890B (en) | Method, device and terminal equipment for positioning end-to-end fault of mobile network | |
CN117279006B (en) | Network optimization method and device for realizing big data fusion of power grid financial system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150211 |
|
WD01 | Invention patent application deemed withdrawn after publication |