CN110972062A - Base station position parameter calibration method and system based on mobile phone signaling data - Google Patents
Base station position parameter calibration method and system based on mobile phone signaling data Download PDFInfo
- Publication number
- CN110972062A CN110972062A CN201911345435.9A CN201911345435A CN110972062A CN 110972062 A CN110972062 A CN 110972062A CN 201911345435 A CN201911345435 A CN 201911345435A CN 110972062 A CN110972062 A CN 110972062A
- Authority
- CN
- China
- Prior art keywords
- base station
- data
- bid
- mobile phone
- position information
- 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.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
-
- 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
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a base station position parameter calibration method and a system based on mobile phone signaling data, which utilize real-time mobile phone signaling data to calibrate the position parameter of a base station, calculate the most probable actual position information of the base station according to the mobile phone real-time signaling data served by a mobile phone user by the base station, and obtain the calibration position information of the base station or the supplementary position information of the base station by comparing the most probable actual position information with the position information reported by the base station; the system comprises: the device comprises a data access module, a track extraction module, a switching chain extraction module and a base station position information calibration module. The invention can solve the problems of wrong and missed base station position parameter information and untimely data updating in application scenes of population statistics, urban traffic condition analysis, resident trip behavior analysis and the like based on mobile phone signaling data and base station position parameter information.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a base station position parameter calibration method and system based on mobile phone signaling data.
Background
The base station is a core device of mobile communication, and takes charge of communication guarantee responsibility of mobile users in the coverage area. The base station location parameters record detailed latitude and longitude location information of the base station, and are usually manually filled by base station installation, debugging and maintenance personnel. According to the base station position parameter information, mobile phone signaling data are collected for analysis, and various application scenarios can be served, for example: regional demographics, traffic condition analysis, resident travel behavior analysis and the like. The manually reported base station position parameters are inevitable to cause problems of error, omission, untimely data updating and the like, and the error of the base station position parameters directly influences the accuracy of data result analysis. Therefore, on the data analysis side, how to identify the base station position parameter error and calibrate the base station position parameter error has important significance.
The base station location information generally faces the following difficulties in use: 1. the base station location parameters are usually manually filled in by base station installation and maintenance personnel and reported to the operator network optimization department, and then provided to each business department for use. Errors can inevitably occur in the manual filling process. 2. For some remote stations, sometimes the filled base station location parameters are not information of the location of the base station, and a large error exists. 3. Because the position data of the base station is sensitive, a certain period is often needed from recording to updating for service use, and the problem of untimely data updating exists.
For the above problems, for some departments with large service data access authority, the base station position information may be calibrated by using the data of the base station measurement report, the coverage radius of the base station, the included angle of the coverage sector, the electronic downtilt of the antenna, the mechanical downtilt, and the like, so as to improve the accuracy of the base station position information. However, more service departments cannot acquire the data information to calibrate the base station position parameter information. How to calibrate the base station position parameter information by using the mobile phone signaling service data has important significance for most base station-based position service applications.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a method and a system for calibrating base station position parameters based on mobile phone signaling data, which can solve the problems of wrong and missed base station position parameter information and untimely data update in application scenes of population statistics, urban traffic condition analysis, resident trip behavior analysis and the like based on the mobile phone signaling data and the base station position parameter information.
The mobile phone signaling data is a record of detailed behaviors such as a base station, a timestamp, and a behavior (such as receiving, dialing, sending a short message, hanging up, and the like) connected by a user during a communication process, and in order to guarantee service quality, when a mobile device moves, the connected base station may change, that is, a base station is switched. Through statistical analysis of the mobile phone signaling data, switching relation data between base stations which are switched frequently in a short time can be obtained, and the switching relation data is called a base station switching chain. Based on the base station switching principle, the base stations which are switched frequently in short time are close in position, and the invention utilizes the base station switching chain data to calibrate the position information of the base stations.
The invention provides a method and a system for calibrating a base station position parameter by using real-time mobile phone signaling data. Analyzing and calculating the most probable actual position information of a base station according to the real-time mobile phone signaling data of a user served by the base station, comparing the most probable actual position information with the manually reported position information of the base station, if the distance difference between the calculated position information and the reported position information exceeds a set threshold value, considering that the manually reported data is wrong, and using the calculated position data as the calibration position information of the base station. In particular, if the base station has not reported position data manually, the calculated position data is used as supplementary position information of the base station.
The technical scheme provided by the invention is as follows:
a base station parameter calibration method based on mobile phone signaling data comprises the following steps:
1. accessing mobile phone signaling data, and sequencing the mobile phone signaling data of each user according to data generation time to obtain a sequenced mobile phone signaling data sequence;
2. extracting to obtain a user space-time trajectory sequence based on the sequenced mobile phone signaling data;
the user ID is used as a unique ID and a new track point is generated for the user if and only if the base station to which the user is connected changes. Each record in the user space-time trajectory sequence comprises a user ID, a currently connected base station ID (BID _ curr), a next hop base station ID (BID _ next), time and a time interval for switching from BID _ curr to BID _ next;
3. screening the user space-time trajectory sequence extracted in the last step, and filtering data with the time interval from BID _ curr to BID _ next being greater than a set threshold Y1, wherein the set threshold Y1 can be selected for 1 minute;
4. performing grouping statistics according to the BID _ curr and the BID _ next to obtain the switching times and the user number of each pair of BID _ curr and BID _ next, which are called base station switching chain data;
5. filtering the base station switching chain data with the switching times and the number of users both smaller than a set threshold Y2, wherein the set threshold Y2 can be set as 100; in specific implementation, deleting data with the switching times and the user number both less than 100 from the base station switching chain data of each pair of BID _ curr and BID _ next;
6. acquiring each base station and a base station set (called a neighbor base station set of the base station) frequently subjected to short-time switching with the base station according to the base station switching chain data obtained in the step 5;
7. and calculating each base station according to the neighbor base station set to obtain the reference position information of the base station. The reference position information can be obtained by weighted average according to the position information of the base stations in the neighbor base station set; or clustering the base station position points in the neighbor base station set, and then performing weighted average on the base station position information of the obtained maximum cluster to obtain position information of a plurality of base stations (such as Top10) with the highest switching times;
8. comparing the original position parameter (the position information reported by the base station, namely the data in the parameter configuration table to be calibrated) of each base station with the reference position information obtained by the previous step of calculation, if the distance difference between the positions of the two exceeds a set threshold Y3 and the value of Y3 can be 3 kilometers, the original position parameter of the base station is considered to be possibly wrong, the base station error mark is assigned to be 1, otherwise, the base station error mark is 0; particularly, for the base station with the missing original position parameter information, the error mark is also assigned as 1; updating base station switching chain data;
9. removing base stations with possibly wrong original position parameters (the wrong mark is 1) from the base station switching chain data; updating base station switching chain data;
10. and (4) performing iteration, namely repeating the steps 7-9 until the data of the base station switching chain is not changed any more or the difference of the position parameters of the base station between two times of iteration execution is less than a set threshold value Y4, wherein the value of Y4 can be 1 kilometer. Recording that the base station set in the base station switching chain at the moment is a BID _ correct, wherein the set is a high-credibility base station set;
11. for each BID _ curr base station with an error marked as 1 in the updated base station handover chain data obtained in step 8, obtaining reference position information of the base station by using position information of the base station with an error marked as 0 in the neighbor base station set (i.e. the base station in the high-reliability base station set BID _ correct) through weighted average calculation of the position information of the base station in the high-reliability neighbor base station set, taking the reference position information as calibration position data of the base station, and adding the base station to the high-reliability base station set BID _ correct;
12. if necessary, repeating the step 11 until the BID _ corrected high-confidence base station set is not changed any more or the difference of the number of base stations in the BID _ corrected high-confidence base station set between two iterations is smaller than a set threshold Y5, wherein in specific implementation, the value of Y5 can be selected to be 3;
13. the BID _ correct of the high-reliability base station set is the base station set after the position information is calibrated;
14. the calibration process of the position information of the base station is carried out regularly, and the latest mobile phone signaling data is used for updating, so that the BID _ correct of the high-reliability base station set is ensured to reflect the latest position information of the base station.
Through the steps, the latest base station position information is obtained, and base station position parameter calibration based on the mobile phone signaling data is realized.
The invention also provides a base station position parameter calibration system based on the mobile phone signaling data, which comprises the following steps: the system comprises a data access module, a track extraction module, a switching chain extraction module and a base station position information calibration module;
a data access module; and accessing the mobile phone signaling data, and sequencing the data sequence of each user according to the data generation time.
A track extraction module: and extracting a user space-time trajectory sequence based on the sequenced mobile phone signaling data, wherein the user ID is used as a unique ID, and a new trajectory point of the user is generated when and only when a base station connected with the user changes. Each record in the user track sequence contains a user ID, a currently connected base station ID (BID _ curr), a next hop base station ID (BID _ next), time and a time interval for switching from BID _ curr to BID _ next, and data of which the time interval for switching from BID _ curr to BID _ next is greater than a set threshold Y1 is filtered.
A switch chain extraction module: grouping and counting the user space-time trajectory data according to BID _ curr and BID _ next to obtain the switching times and the user number of each pair of BID _ curr and BID _ next, which are called base station switching chain data; and filtering the base station switching chain data of which the switching times and the number of users are both smaller than a set threshold Y2.
A base station position information calibration module: according to the base station switching chain data, acquiring each base station and a base station set frequently subjected to short-time switching with the base station, calculating and marking out a high-reliability base station, acquiring a high-reliability neighbor base station set of each base station, and performing weighted average or clustering calculation by using position data of the base stations in the high-reliability neighbor base station set to obtain calibration position data of the base station. The process may be iterated to obtain the most accurate calculation.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a universal base station position parameter calibration method and a universal base station position parameter calibration system based on real-time mobile phone signaling data, which can correct wrong and missed position information of a base station according to the use condition of the base station in the mobile phone service process without depending on difficult-to-obtain base station measurement report data and other more accurate configuration information, thereby solving the problems of wrong and missed base station position parameter information and untimely data update in application scenes of population statistics, urban traffic condition analysis, resident trip behavior analysis and the like based on the mobile phone signaling data and the base station position parameter information.
Drawings
Fig. 1 is a schematic diagram of base station position calibration in an embodiment of the present invention.
Fig. 2 is a flow chart of a method for calibrating a location parameter of a base station according to the present invention.
Fig. 3 is a block diagram of a base station location parameter calibration system according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages more comprehensible, the present invention is described in further detail below with reference to the accompanying drawings and the detailed description, but the scope of the present invention is not limited in any way.
The invention provides a method and a system for calibrating a base station position parameter based on mobile phone signaling data, which can solve the problems of wrong and missing base station position parameter information and untimely data updating. Fig. 1 is a schematic diagram of calibrating a base station location in an embodiment of the present invention, and in a specific implementation, the flow of the method for calibrating a base station location parameter shown in fig. 2 includes the following steps:
1. accessing mobile phone signaling data in a certain area within a certain time range (taking two weeks as an example) through a distributed message subscription system, and sequencing a data sequence of each user according to data generation time, wherein the example is shown in table 1;
TABLE 1 user data sequences are ordered by data generation time
| User tagging | Base station marking | Time of day |
| U1 | BID1 | T1 |
| U1 | BID2 | T2 |
| U1 | BID2 | T3 |
| U1 | BID3 | T4 |
| U1 | BID3 | T5 |
| U1 | BID3 | T6 |
| U1 | BID4 | T7 |
2. And extracting a user space-time trajectory sequence based on the sequenced mobile phone signaling data, wherein the user ID is used as a unique ID, and a new trajectory point of the user is generated when and only when a base station connected with the user changes. Each record in the user trajectory sequence contains a user ID, a currently connected base station ID (BID _ curr), a next hop base station ID (BID _ next), a time, and a time interval for switching from BID _ curr to BID _ next, as shown in table 2 for example: user U1, at base station BID1, is time T1, and when U1 first reaches base station BID2, is time T2, at which time T2-T1 can be considered as the time required to switch from base station A1 to base station A2. U1 is still BID2 at time T3, and comes to base station BID3 at time T4, when the time it takes U1 to move from BID2 base station to BID3 base station is T4-T3;
table 2 information for each record in a sequence of user tracks
| User tagging | Current base station | Next base station | Time of day | Switching time |
| U1 | BID1 | BID2 | T1 | T2-T1 |
| U1 | BID2 | BID3 | T2 | T4-T3 |
| U1 | BID3 | BID4 | T4 | T7-T6 |
3. Screening the spatiotemporal trajectory sequence of the user extracted in the last step, and filtering data with the time interval from BID _ curr to BID _ next being greater than a certain threshold (30 seconds);
4. performing grouping statistics according to the BID _ curr and the BID _ next to obtain the switching times and the user number of each pair of BID _ curr and BID _ next, which are called base station switching chain data;
5. filtering the switching times, wherein the number of users is less than a certain threshold (the switching times is not less than 150, and the number of users is not less than 10) of the base station switching chain data;
6. acquiring each base station and a base station set (neighbor base station set) frequently switched with the base station according to base station switching chain data, wherein as shown in fig. 1, a plurality of balloon-shaped points are base station position dotting points in the neighbor base station set, and a left circular point is an original position dotting point of the base station;
7. as a result of the last step, associating the base station position parameter table, and for each base station, calculating to obtain reference position information of the base station according to position information of the first one third base station with the largest switching frequency between the neighbor base station set and the base station, as shown in fig. 1, a point of an inverted triangle is a calibrated position dotting point;
8. comparing the original position parameter of each base station with the reference position information obtained by the previous step, if the distance exceeds a certain threshold (5 kilometers), considering that the original position parameter of the base station is possible to be wrong, and assigning a base station error mark as 1, otherwise, assigning 0; particularly, for the base station with the missing original position parameter information, the error mark is also assigned as 1;
9. in the base station switching chain data of the step 6, eliminating the base station with the error mark of 1;
10. repeating the steps 7-9 until the data of the base station switching chain is not changed any more, and recording that the base station set in the base station switching chain at the moment is a BID _ correct set which is a high-credibility base station set;
11. for each BID _ curr base station with an error marked as 1 in the original base station handover chain data in step 6, calculating to obtain reference position information of the base station as calibration position data of the base station by using position information of the base station with an error marked as 0 in the neighbor base station set (namely, the base station in the BID _ correct of the high-reliability base station set), and adding the base station to the BID _ correct of the high-reliability base station set;
12. repeating the step 11 if necessary until the BID _ correct of the high-credibility base station set;
13. the BID _ correct is a base station set after the position information is calibrated, and demographic, traffic analysis and the like can be performed by combining the mobile phone signaling data.
14. In the calibration process, the latest mobile phone signaling data is used for recalculation every month.
Fig. 3 is a block diagram of a base station location parameter calibration system provided in the present invention, which includes: the system comprises a data access module, a track extraction module, a switching chain extraction module and a base station position information calibration module;
a data access module; and accessing the mobile phone signaling data, and sequencing the data sequence of each user according to the data generation time.
A track extraction module: and extracting a user space-time trajectory sequence based on the sequenced mobile phone signaling data, wherein the user ID is used as a unique ID, and a new trajectory point of the user is generated when and only when a base station connected with the user changes. Each record in the user track sequence contains a user ID, a currently connected base station ID (BID _ curr), a next hop base station ID (BID _ next), time and a time interval for switching from BID _ curr to BID _ next, and data of which the time interval for switching from BID _ curr to BID _ next is greater than a set threshold Y1 is filtered.
A switch chain extraction module: grouping and counting the user space-time trajectory data according to BID _ curr and BID _ next to obtain the switching times and the user number of each pair of BID _ curr and BID _ next, which are called base station switching chain data; and filtering the data of the base station switching chain with the switching times and the number of users smaller than a set threshold Y2.
A base station position information calibration module: according to the base station switching chain data, acquiring each base station and a base station set frequently subjected to short-time switching with the base station, calculating and marking out a high-reliability base station, acquiring a high-reliability neighbor base station set of each base station, and performing weighted average or clustering calculation by using position data of the base stations in the high-reliability neighbor base station set to obtain calibration position data of the base station. The process may be iterated to obtain the most accurate calculation.
It is noted that the disclosed embodiments are intended to aid in further understanding of the invention, but those skilled in the art will appreciate that: various substitutions and modifications are possible without departing from the spirit and scope of the invention and appended claims. Therefore, the invention should not be limited to the embodiments disclosed, but the scope of the invention is defined by the appended claims.
Claims (6)
1. A base station parameter calibration method based on mobile phone signaling data is characterized in that real-time mobile phone signaling data is utilized to calibrate base station position parameters, the most probable actual position information of a base station is calculated according to the mobile phone real-time signaling data which is served by a mobile phone user through the base station, and the most probable actual position information is compared with the position information reported by the base station to obtain the calibration position information of the base station or the supplementary position information of the base station; the method comprises the following steps:
1) acquiring mobile phone signaling data, and sequencing the mobile phone signaling data of each user according to data generation time to obtain a sequenced mobile phone signaling data sequence;
2) extracting to obtain a user space-time trajectory sequence based on the sequenced mobile phone signaling data;
each record in the user space-time trajectory sequence comprises: a user ID; the ID of the currently connected base station is recorded as BID _ curr; recording the ID of the next hop base station as BID _ next; a next hop base station time; a time interval to switch from BID _ curr to BID _ next; if and only if the base station connected with the user changes, generating a new track point of the user, thereby obtaining a user space-time track sequence;
3) screening the user space-time trajectory sequence, and filtering data with a time interval from BID _ curr to BID _ next larger than a set threshold value Y1;
4) performing grouping statistics according to the BID _ curr and the BID _ next to obtain the switching times and the user number of each pair of BID _ curr and BID _ next, which are called base station switching chain data;
5) filtering base station switching chain data with the switching times and the number of users both smaller than a set threshold value Y2, and updating the base station switching chain data;
6) acquiring each base station and a base station set frequently subjected to short-time switching with the base station according to the base station switching chain data updated in the step 5), wherein the base station set is called a neighbor base station set of the base station;
7) calculating each base station according to the neighbor base station set of the base station to obtain the reference position information of the base station;
8) comparing the original position parameter of each base station, namely the position information reported by the base station, with the reference position information obtained in the step 7):
if the distance difference between the two positions exceeds a set threshold value Y3, the original position parameter of the base station is possibly wrong, the base station error mark is assigned to be 1, otherwise, the base station error mark is 0; the base station error mark is assigned to be 1 to represent that the original position parameter of the base station is possibly wrong; for the base station with the missing original position parameter information, the base station error mark is assigned as 1; updating base station switching chain data;
9) removing base stations with possibly wrong original position parameters from base station switching chain data; updating base station switching chain data;
10) performing iteration, namely repeating the steps 7-9, and terminating the iteration operation when the data of the base station switching chain is not changed any more or the difference of the position parameters of the base station between two times of iteration execution is less than a set threshold value Y4;
the base station set in the base station switching chain obtained at the moment is a high-credibility base station set BID _ correct;
11) performing weighted average calculation on the base station position information in the high-reliability neighbor base station set by using the base station BID _ curr with the error mark of 1 in the updated base station switching chain data obtained in the step 8), wherein the base station BID _ curr with the error mark of 0 in the neighbor base station set is the base station in the high-reliability base station set BID _ corect, so as to obtain the reference position information of the base station, which is used as the calibration position data of the base station, and adding the base station to the high-reliability base station set BID _ corect; the BID _ correct of the high-reliability base station set is the base station set after the position information is calibrated;
through the steps, the latest base station position information is obtained, and base station position parameter calibration based on the mobile phone signaling data is realized.
2. The method as claimed in claim 1, wherein the step 11) is performed repeatedly, and the iteration operation is terminated when the BID _ correct of the high-confidence base station set is not changed or the difference between the numbers of base stations in the BID _ correct of the high-confidence base station set between two iterations is smaller than a predetermined threshold Y5.
3. The method as claimed in claim 1, wherein the method for calibrating the parameters of the base station based on the mobile phone signaling data is performed periodically, and the updated mobile phone signaling data is used to update the base station parameters, so that the BID _ correct of the highly reliable base station set is the latest base station location information.
4. The method as claimed in claim 1, wherein the step 7) obtains the reference location information of the base station by performing weighted average or clustering or filtering on the base stations in the neighbor base station set according to the location information of the base stations in the neighbor base station set.
5. A base station position parameter calibration system based on mobile phone signaling data comprises: the system comprises a data access module, a track extraction module, a switching chain extraction module and a base station position information calibration module;
the data access module is used for accessing the mobile phone signaling data and sequencing the data sequence of each user according to the data generation time;
the track extraction module is used for extracting a user space-time track sequence based on the sequenced mobile phone signaling data, wherein a user ID is used as a unique ID, and a new track point of the user is generated when and only when a base station connected with the user changes;
the switching chain extraction module is used for carrying out grouping statistics on the user space-time trajectory sequence data according to the currently connected base station ID and the next hop base station ID to obtain the switching times and the number of users of each pair of currently connected base station ID and the next hop base station ID, and the switching times and the number of the users are called base station switching chain data; filtering the base station switching chain data with the switching times and the number of users both less than a set threshold Y2;
a base station position information calibration module: the system comprises a base station switching chain data acquisition unit, a base station switching unit and a base station switching unit, wherein the base station switching chain data acquisition unit is used for acquiring each base station and a base station set frequently subjected to short-time switching with the base station according to the base station switching chain data, calculating and marking a high-reliability base station, and acquiring a high-reliability neighbor base station set of each base station; and carrying out weighted average or clustering calculation by utilizing the position data of the base stations in the high-reliability neighbor base station set to obtain the calibration position data of the base station.
6. The system of claim 5 wherein each record in the sequence of user spatiotemporal trajectories comprises: user ID, currently connected base station ID, next hop base station ID, time, and time interval for switching from BID _ curr to BID _ next.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911345435.9A CN110972062B (en) | 2019-12-24 | 2019-12-24 | Base station position parameter calibration method and system based on mobile phone signaling data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911345435.9A CN110972062B (en) | 2019-12-24 | 2019-12-24 | Base station position parameter calibration method and system based on mobile phone signaling data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110972062A true CN110972062A (en) | 2020-04-07 |
| CN110972062B CN110972062B (en) | 2020-10-09 |
Family
ID=70036108
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911345435.9A Active CN110972062B (en) | 2019-12-24 | 2019-12-24 | Base station position parameter calibration method and system based on mobile phone signaling data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110972062B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111954160A (en) * | 2020-08-20 | 2020-11-17 | 南京邮电大学 | Method for converting two-dimensional mobile phone signaling data into three-dimensional space trajectory data |
| CN113727290A (en) * | 2021-08-20 | 2021-11-30 | 智慧足迹数据科技有限公司 | Base station position offset identification method based on mobile phone signaling and related device |
| CN113891236A (en) * | 2020-06-17 | 2022-01-04 | 中国电信股份有限公司 | Method and device for checking position information of base station and computer readable storage medium |
| CN115169526A (en) * | 2022-05-20 | 2022-10-11 | 北京信息科技大学 | Deep learning-based base station representation learning method, system and storage medium |
| CN115314994A (en) * | 2022-08-02 | 2022-11-08 | 杭州数澜科技有限公司 | Base station position calibration method, system and computer readable medium |
| CN115589605A (en) * | 2022-12-09 | 2023-01-10 | 深圳市永达电子信息股份有限公司 | Communication equipment debugging method based on tribal formation mechanism |
| CN117042125A (en) * | 2023-10-09 | 2023-11-10 | 北京九栖科技有限责任公司 | Base station position calibration method and system based on graph variation self-encoder |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103906228A (en) * | 2012-12-28 | 2014-07-02 | 中国电信股份有限公司 | Mobile terminal base station differential positioning method, positioning device and system |
| CN104703239A (en) * | 2015-03-24 | 2015-06-10 | 河海大学常州校区 | Quasi-periodic handoff triggering mechanism based on handoff invitation sending |
| US20170055115A1 (en) * | 2011-09-30 | 2017-02-23 | Mitsubishi Electric Corporation | Radio communication system, user equipment device, base station device, and management device |
| CN107948921A (en) * | 2018-01-04 | 2018-04-20 | 深圳知路科技有限公司 | The base station intelligence quick deployment method and device of UWB alignment systems |
| CN109548139A (en) * | 2018-08-27 | 2019-03-29 | 福建新大陆软件工程有限公司 | A kind of cell base station longitude and latitude data correcting method based on KNN |
-
2019
- 2019-12-24 CN CN201911345435.9A patent/CN110972062B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170055115A1 (en) * | 2011-09-30 | 2017-02-23 | Mitsubishi Electric Corporation | Radio communication system, user equipment device, base station device, and management device |
| CN103906228A (en) * | 2012-12-28 | 2014-07-02 | 中国电信股份有限公司 | Mobile terminal base station differential positioning method, positioning device and system |
| CN104703239A (en) * | 2015-03-24 | 2015-06-10 | 河海大学常州校区 | Quasi-periodic handoff triggering mechanism based on handoff invitation sending |
| CN107948921A (en) * | 2018-01-04 | 2018-04-20 | 深圳知路科技有限公司 | The base station intelligence quick deployment method and device of UWB alignment systems |
| CN109548139A (en) * | 2018-08-27 | 2019-03-29 | 福建新大陆软件工程有限公司 | A kind of cell base station longitude and latitude data correcting method based on KNN |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113891236A (en) * | 2020-06-17 | 2022-01-04 | 中国电信股份有限公司 | Method and device for checking position information of base station and computer readable storage medium |
| CN113891236B (en) * | 2020-06-17 | 2024-02-13 | 中国电信股份有限公司 | Method, device and computer readable storage medium for checking position information of base station |
| CN111954160A (en) * | 2020-08-20 | 2020-11-17 | 南京邮电大学 | Method for converting two-dimensional mobile phone signaling data into three-dimensional space trajectory data |
| CN113727290A (en) * | 2021-08-20 | 2021-11-30 | 智慧足迹数据科技有限公司 | Base station position offset identification method based on mobile phone signaling and related device |
| CN113727290B (en) * | 2021-08-20 | 2022-04-26 | 智慧足迹数据科技有限公司 | Base station position offset identification method based on mobile phone signaling and related device |
| CN115169526A (en) * | 2022-05-20 | 2022-10-11 | 北京信息科技大学 | Deep learning-based base station representation learning method, system and storage medium |
| CN115314994A (en) * | 2022-08-02 | 2022-11-08 | 杭州数澜科技有限公司 | Base station position calibration method, system and computer readable medium |
| CN115589605A (en) * | 2022-12-09 | 2023-01-10 | 深圳市永达电子信息股份有限公司 | Communication equipment debugging method based on tribal formation mechanism |
| CN117042125A (en) * | 2023-10-09 | 2023-11-10 | 北京九栖科技有限责任公司 | Base station position calibration method and system based on graph variation self-encoder |
| CN117042125B (en) * | 2023-10-09 | 2023-12-15 | 北京九栖科技有限责任公司 | Base station position calibration method and system based on graph variation self-encoder |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110972062B (en) | 2020-10-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110972062B (en) | Base station position parameter calibration method and system based on mobile phone signaling data | |
| CN108156626B (en) | Rail transit wireless network quality evaluation method, device and medium | |
| US7761088B1 (en) | Method and system for measuring market information for wireless telecommunication devices | |
| CN101794516B (en) | Mobile phone information based section speed calculation method | |
| CN110213724B (en) | Pseudo base station motion trajectory identification method | |
| EP2036389B1 (en) | Local calling area determination in wireless networks | |
| US20150237596A1 (en) | Automatic detection of device type for filtering of data | |
| US12047902B2 (en) | Method and apparatus for obtaining emission probability, method and apparatus for obtaining transition probability, and sequence positioning method and apparatus | |
| CN106921507B (en) | Method and apparatus for predicting user complaints in a wireless communication network | |
| CN104661204A (en) | Positioning method and device for pseudo base station | |
| US11528584B2 (en) | Contact tracing based on comparing geo-temporal patterns of wireless terminals, including mobility profiles | |
| US9247516B2 (en) | Estimating whether or not a wireless terminal is in a geographic zone using pattern classification | |
| CN108124270B (en) | Coverage evaluation method and device for LTE network | |
| CN101621808B (en) | Method and device for confirming cell coverage area | |
| CN115665665A (en) | Moving path recognition method, recognition device, electronic equipment and readable storage medium | |
| CN108541011B (en) | Method and device for analyzing strength of wireless network signal coverage area | |
| CN104683982A (en) | False base station determination method based on data mining of signaling system | |
| CN104219622A (en) | People number measuring method based on LAC and crowd situation monitoring method and system | |
| JP2010130530A (en) | System and method of managing database | |
| CN108632740B (en) | Positioning method and device of user equipment | |
| CN115314994A (en) | Base station position calibration method, system and computer readable medium | |
| CN110505615B (en) | Work parameter data updating method based on mobile signaling switching chain | |
| CN114245314B (en) | Personnel track correction method and device, storage medium and electronic equipment | |
| CN113891236B (en) | Method, device and computer readable storage medium for checking position information of base station | |
| CN113490143B (en) | Method for screening and correcting error base station and repeated base station |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |