CN108093417A - A kind of base station location method for correcting error based on base station distribution degree adaptive - Google Patents
A kind of base station location method for correcting error based on base station distribution degree adaptive Download PDFInfo
- Publication number
- CN108093417A CN108093417A CN201711366688.5A CN201711366688A CN108093417A CN 108093417 A CN108093417 A CN 108093417A CN 201711366688 A CN201711366688 A CN 201711366688A CN 108093417 A CN108093417 A CN 108093417A
- Authority
- CN
- China
- Prior art keywords
- base station
- distance
- density
- base stations
- base
- 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
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- 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
Abstract
The present invention discloses a kind of base station location method for correcting error based on base station distribution degree adaptive, including：Step 1, for base station to be detected, the forward and backward information for connecting other base stations in the base station is connected in statistics preset time；Step 2, for these base stations, selection is connected the highest multiple base stations of the frequency with the judgement base station, calculates the distance two-by-two between these base stations, and then draws the general range distribution density for base station their location base station of leaving a question open；It is step 3, close based on a certain regional landforms, environmental aspect, base station sets up Distance Density also substantially similar principle, using the range distribution density model, the influence minimum for a bit, making the point to above-mentioned base station each point distance to this region distance density model is chosen in current region；Step 4, the analysis and calculating changed by density model statistic curve of adjusting the distance based on the principle to Effects of Density minimum, provide optimal warp, the latitude estimation of the base station.
Description
Technical field
The invention belongs to statistical learning method, more particularly to a kind of base station location based on base station distribution degree adaptive
Method for correcting error.
Background technology
Include the access base station information of current talking number in telecom operators' ticket big data, and these base station informations
Be artificially be manually entered in advance by base station maintenance personnel, tabulating is stored in server end, usually because entry personnel carelessness
And cause the input of wrong data, with inevitable error message.
The presence of these error messages usually brings great number of issues to the base station maintenance of telecom operators, user service etc.,
The usage experience of end user is seriously affected, therefore it is necessary to by appropriate technological means, to the errors present of above-mentioned base station
Information is corrected.Obviously, the artificial mistake for going to correct above- mentioned information is heavy, clumsy.
Based on this, set forth herein a kind of base station location method for correcting error and system based on base station distribution density priori,
It by the analysis of the user bill big data information to magnanimity, excavates, based on station layout and urban population, building distribution characteristics
(downtown, the usual building in dense population areas is more, station layout density is larger；Outskirts of a town, the usual building cloth in sparse population area
Also than sparse, station layout density is small for office), provide a kind of appropriate base station location correction evaluation method that leaves a question open.
The content of the invention
The middle error message that may be introduced is manually entered for base station data, is proposed a kind of based on base station distribution density priori
The base station location method for correcting error of knowledge, the local space that base station is gone out by the positional information calculation to base station in user bill are distributed
Density information, and then known base station position warp, latitude information arround current are combined, it provides current the leave a question open warp of base station, latitude and estimates
Evaluation.
A kind of base station location method for correcting error based on base station distribution density priori, includes the following steps：
(1) for base station to be detected, count in certain number of days (such as 1 month), calculate in the range of certain time (for example,
In maximum half an hour), connect the forward and backward information for connecting other base stations in the base station；
(2) for these base stations, choose with this treat judgement leave a question open base station be connected the highest certain amount base station of the frequency (such as
Choose highest 10 base stations of the connection frequency), the distance parameter two-by-two between these base stations is calculated, it also reflects to a certain extent
The space layout density of the origin base station draws the space length distribution density information for base station their location base station of leaving a question open；
(3) close based on a certain regional landforms, environmental aspect, base station sets up Distance Density also substantially similar principle, profit
With the range distribution density model, chosen a bit in current region, make the point to above-mentioned base station each point distance to this region away from
Influence from density model is minimum；
(4) analysis and calculating changed by density model statistic curve of adjusting the distance, based on the original to Effects of Density minimum
Then, optimal warp, the latitude estimation of the base station are provided.
Compared with prior art, the present invention has following apparent advantage and advantageous effect：
(1) the present invention is based on base station distribution density priori, propose a kind of based on base station distribution density priori
Base station location method for correcting error and system.Occur by a series of high frequency times for base station of leaving a question open to connection in user bill forward and backward
The excavation of base distance between sites situation, analysis, distance between calculation base station, density model statistic curve of adjusting the distance variation carry out analysis with
It calculates, based on the principle to Effects of Density minimum, provides most preferably the passing through of current base station of leaving a question open, latitude estimate.
(2) present invention be different from traditional base station location estimation in priori think base station distribution the overall situation be all it is uniform this
One it is assumed that estimate the base station position information that leaves a question open using more true local base Density Distribution calculated value, and then give
Go out more accurately to leave a question open base station warp, latitude valuation.
Description of the drawings
Fig. 1 is a kind of work(of base station location method for correcting error based on base station distribution density priori proposed by the invention
It can block diagram.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
The flow chart of method involved in the present invention is as shown in Figure 1, comprise the following steps：
The base station left a question open with correction has been marked to whole in ticket big data, and foundation leaves a question open base station list B1,
Whole telephone numbers that (such as forward and backward 60 minutes) are connected are chosen in its certain time in oracle database, are used
Select sentences are inquired about, and provide the list P for whole phones that are connected with the base station this period1；
(1) leaving a question open in ticket big data, nearby base station information is searched in regional area for base station
For base station to be detected, certain number of days (such as 1 month) is counted, calculate in the range of certain time (for example, maximum half
In a hour), connect the forward and backward information for connecting other base stations in the base station；
For P1In each telephone number, using the base station of leaving a question open as reference base station, to connect reference base station time point to
For the reference time, search and connect the reference base station literary information above and below, connected before and after being attached to the reference base station when
Between adjacent two base stations (bi, bj), and establish collection of base stations B2, warp, latitude information lo, la of these base stations are extracted respectively；
(2) in certain time length, telephone number connection base station information extraction
For these base stations, selection is connected the highest certain amount base station of the frequency (such as 10 bases with the judgement base station
Stand), the distance two-by-two between these base stations is calculated, and then show that the general range distribution for base station their location base station of leaving a question open is close
Degree；
(3) the base station warp based on confidence evaluation, latitude weighted calculation
Close based on a certain regional landforms, environmental aspect, base station sets up Distance Density also substantially similar principle, utilizes this
Range distribution density model is chosen a bit in current region, makes the point close to this region distance to above-mentioned base station each point distance
The influence for spending model is minimum；
It is literary above and below for above-mentioned base station, collection of base stations is established, according to the frequency that different base station in set occurs, to above-mentioned
Base station assigns different weights, if i-th of base station biFrequency of occurrence is fi, frequency of occurrence highest base station corresponds to the frequency in collection of base stations
For fmax, then biWeight w in the base station warp that leaves a question open, latitude estimationiIt is defined as：
wi=fi/fmax
(4) base station warp, latitude based on different base station confidence evaluation calculate
According to above-mentioned weights, average computation is weighted to the warp of base station of leaving a question open, latitude information using equation below, then is deposited
Doubt base station warp, latitude Lo, La are respectively：
Lo=Σ wi·loi/n
La=Σ wi·lai/n
Here n is the base station summation for participating in statistics.
(5) estimated based on leave a question open base station warp, latitude that Distance Density modeling statistics curve changes
The analysis and calculating changed by density model statistic curve of adjusting the distance, based on the principle to Effects of Density minimum,
Provide optimal warp, the latitude estimation of the base station.
Claims (1)
1. a kind of base station location method for correcting error based on base station distribution degree adaptive, which is characterized in that comprise the following steps：
Step 1, for base station to be detected, the forward and backward information for connecting other base stations in the base station is connected in statistics preset time；
Step 2, for these base stations, selection is connected the highest multiple base stations of the frequency with the judgement base station, calculate these base stations it
Between distance two-by-two, and then draw the general range distribution density for base station their location base station of leaving a question open；
Step 3, close based on a certain regional landforms, environmental aspect, base station sets up Distance Density also substantially similar principle, utilizes
The range distribution density model is chosen a bit in current region, makes the point to above-mentioned base station each point distance to this region distance
The influence of density model is minimum；
Step 4, the analysis and calculating changed by density model statistic curve of adjusting the distance, based on the original to Effects of Density minimum
Then, optimal warp, the latitude estimation of the base station are provided.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711366688.5A CN108093417A (en) | 2017-12-18 | 2017-12-18 | A kind of base station location method for correcting error based on base station distribution degree adaptive |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711366688.5A CN108093417A (en) | 2017-12-18 | 2017-12-18 | A kind of base station location method for correcting error based on base station distribution degree adaptive |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108093417A true CN108093417A (en) | 2018-05-29 |
Family
ID=62177212
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711366688.5A Pending CN108093417A (en) | 2017-12-18 | 2017-12-18 | A kind of base station location method for correcting error based on base station distribution degree adaptive |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108093417A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109561480A (en) * | 2018-12-26 | 2019-04-02 | 中国联合网络通信集团有限公司 | A kind of base station location method for correcting error and system |
| CN111356152A (en) * | 2018-12-20 | 2020-06-30 | 中国移动通信集团辽宁有限公司 | Base station position correction method, device, equipment and medium |
| CN111405464A (en) * | 2020-03-19 | 2020-07-10 | 中国联合网络通信集团有限公司 | Base station position detection method and device |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299834A (en) * | 2008-06-24 | 2008-11-05 | 中国移动通信集团四川有限公司 | Method for checking base station position |
| US20120309428A1 (en) * | 2011-06-03 | 2012-12-06 | Apple Inc. | Location Estimation Using a Probability Density Function |
| CN104735714A (en) * | 2009-01-13 | 2015-06-24 | Jdsu英国有限公司 | Wireless communication network |
| CN106231597A (en) * | 2015-06-02 | 2016-12-14 | 中国科学院上海高等研究院 | The localization method of a kind of pseudo-base station and system |
-
2017
- 2017-12-18 CN CN201711366688.5A patent/CN108093417A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299834A (en) * | 2008-06-24 | 2008-11-05 | 中国移动通信集团四川有限公司 | Method for checking base station position |
| CN104735714A (en) * | 2009-01-13 | 2015-06-24 | Jdsu英国有限公司 | Wireless communication network |
| US20120309428A1 (en) * | 2011-06-03 | 2012-12-06 | Apple Inc. | Location Estimation Using a Probability Density Function |
| CN106231597A (en) * | 2015-06-02 | 2016-12-14 | 中国科学院上海高等研究院 | The localization method of a kind of pseudo-base station and system |
Non-Patent Citations (2)
| Title |
|---|
| 冯利容: "基于NBSS的基站校正算法的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 梁春民: "基于大数据与图形分析的无线网络基站配置核查的研究与实现", 《应用技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111356152A (en) * | 2018-12-20 | 2020-06-30 | 中国移动通信集团辽宁有限公司 | Base station position correction method, device, equipment and medium |
| CN111356152B (en) * | 2018-12-20 | 2023-11-21 | 中国移动通信集团辽宁有限公司 | Base station position correction method, device, equipment and medium |
| CN109561480A (en) * | 2018-12-26 | 2019-04-02 | 中国联合网络通信集团有限公司 | A kind of base station location method for correcting error and system |
| CN109561480B (en) * | 2018-12-26 | 2021-03-19 | 中国联合网络通信集团有限公司 | Base station position deviation rectifying method and system |
| CN111405464A (en) * | 2020-03-19 | 2020-07-10 | 中国联合网络通信集团有限公司 | Base station position detection method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109921941B (en) | Network service quality evaluation and optimization method, device, medium and electronic equipment | |
| CN112054943B (en) | Traffic prediction method for mobile network base station | |
| CN108093417A (en) | A kind of base station location method for correcting error based on base station distribution degree adaptive | |
| CN106156941A (en) | A kind of user credit scoring optimization method and device | |
| CN101951617B (en) | Mobile network communication quality evaluation method based on analytic hierarchy process | |
| CN109842896B (en) | Grid value evaluation method and device | |
| CN103150696A (en) | Method and device for selecting potential customer of target value-added service | |
| CN104035926A (en) | Internet information release method and system | |
| CN106709840B (en) | Urban permanent population estimation method based on mobile network data | |
| CN103577660B (en) | Gray scale experiment system and method | |
| CN108829839A (en) | Verification method, device, storage medium and the processor of credibility of sample's | |
| CN111866776A (en) | Population measurement and calculation method and device based on mobile phone signaling data | |
| CN108322915B (en) | Information processing method and device for base station planning | |
| CN111127062A (en) | Group fraud identification method and device based on space search algorithm | |
| WO2018192414A1 (en) | Qoe determining method and apparatus, storage medium, and processor | |
| CN106897743B (en) | Mobile attendance anti-cheating big data detection method based on Bayesian model | |
| CN107613463A (en) | The base station location method of estimation of different base station access frequency weighting in a kind of data based on user bill | |
| CN109995549B (en) | Method and device for evaluating flow value | |
| KR102223800B1 (en) | System and methods thereof for providing smart bus line using artificial intelligence based on big data | |
| CN107835485A (en) | A kind of method of the weighting base station location correction of base station location confidence level in data based on user bill | |
| CN110610415B (en) | Method and device for updating model | |
| US20140279378A1 (en) | Model performance simulator | |
| CN113947260A (en) | User satisfaction prediction method and device and electronic equipment | |
| CN113077144B (en) | Intelligent statistical method and device for number of users affected by distribution network fault | |
| CN113543195A (en) | Communication base station evaluation method and device and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180529 |
|
| RJ01 | Rejection of invention patent application after publication |