CN109195165A - A kind of mobile communication 4G pseudo-base station recognition methods based on MR data - Google Patents
A kind of mobile communication 4G pseudo-base station recognition methods based on MR data Download PDFInfo
- Publication number
- CN109195165A CN109195165A CN201810877243.1A CN201810877243A CN109195165A CN 109195165 A CN109195165 A CN 109195165A CN 201810877243 A CN201810877243 A CN 201810877243A CN 109195165 A CN109195165 A CN 109195165A
- Authority
- CN
- China
- Prior art keywords
- pci
- frequency point
- cell
- point
- base station
- 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
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/12—Detection or prevention of fraud
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The mobile communication 4G pseudo-base station recognition methods based on MR data that the invention discloses a kind of, by traversing the whole network cell, obtain the neighbor cell configuration information of existing net cell, and obtain the distributed model of " serving cell+adjacent area frequency point+PCI ", newly there is legal frequency point and PCI if it find that having, and this frequency point and PCI be not in the allocation list of the frequency point+PCI of existing net serving cell, then it is summarized as abnormal frequency point and PCI, and it is written into (main serving cell in abnormal adjacent area frequency point and PCI allocation list, adjacent area subdistrict frequency point+PCI+RSRP), if not finding corresponding record in neighbor cell configuration information, and the RSRP of the exception frequency point+PCI is greater than -90dBm, and the number that the frequency point+PCI occurs is greater than certain number, then think the adjacent area frequency point and PCI for puppet The frequency point and PCI that base station is forged.
Description
Technical field
The present invention relates to mobile communication fields, more particularly, to a kind of mobile communication 4G pseudo-base station based on MR data
Recognition methods.
Background technique
Pseudo-base station is usually used to propagate invalid information by criminal, or even can be utilized to steal the personal letter of user
It ceases and carries out communication swindle, harmfulness is very big.To ensure personal information and property safety, need one kind that can find puppet in time
The method of base station.
Summary of the invention
Present invention aim to address said one or multiple defects, propose that a kind of mobile communication 4G based on MR data is pseudo-
Base station identification approach.
To realize the above goal of the invention, the technical solution adopted is that:
A kind of mobile communication 4G pseudo-base station recognition methods based on MR data, comprising the following steps:
S1: by traversing the whole network cell, obtain existing net cell faces area's configuration information；
S2: the distributed model of " serving cell+adjacent area frequency point+PCI " is established；
S3: judging whether there is according to distributed model and legal frequency point and PCI newly occur, if this frequency point and PCI be not in existing net
In the allocation list of the frequency point+PCI of serving cell, then it is summarized as abnormal frequency point and PCI, and is written into abnormal adjacent area frequency point
In PCI allocation list；
S4: finding the record of abnormal frequency point described in step S3 and PCI and judged in neighbor cell configuration information, if should
The RSRP of abnormal frequency point+PCI is greater than the number that -90dBm and the frequency point+PCI occur and is greater than certain number, then judges adjacent area frequency
Point and PCI are the frequency point and PCI that pseudo-base station is forged.
Preferably, the step S2 is specifically included according to cell longitude and latitude, matches the point centered on cell, surrounding
1500 meters away from the website in range, by calculating, and in 1500 meters of point of the whole network center of housing estate joined in conjunction with cell work, effectively
Frequency point and pci data, import in center of housing estate point range frequency point and PCI information table.
Preferably, the calculating cell site distance includes following algorithm:
Dim x As Double,y As Double
' PI*R*Cos (((Lat1+Lat2)/2) * PI/180) -- in the longitude spacing of their middle latitudes of two latitudes,
I.e. every degree longitude how much rice
X=(Lon2-Lon1) * PI*R*Cos (((Lat1+Lat2)/2) * PI/180) two longitude differential conversions of/180'
Longitude distance
' the every degree latitude how much rice of (PI*R)/180--
The latitude distance that y=(Lat2-Lat1) * two latitude differential conversions of PI*R/180' obtain
The distance of Distance=Sqr (x*x+y*y) ' point-to-point transmission opens radical sign after quadratic sum.
Compared with prior art, the beneficial effects of the present invention are:
The mobile communication 4G pseudo-base station recognition methods based on MR data that the invention proposes a kind of improves pseudo-base station identification
Efficiency；Accelerate to ensure personal information and property safety；Save the investment of tester, test equipment, it is very big to reduce
The economic input of identification pseudo-base station.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；
Below in conjunction with drawings and examples, the present invention is further elaborated.
Embodiment 1
A kind of mobile communication 4G pseudo-base station recognition methods based on MR data, referring to FIG. 1, the following steps are included:
S1: by traversing the whole network cell, obtain existing net cell faces area's configuration information；
S2: the distributed model of " serving cell+adjacent area frequency point+PCI " is established；
S3: judging whether there is according to distributed model and legal frequency point and PCI newly occur, if this frequency point and PCI be not in existing net
In the allocation list of the frequency point+PCI of serving cell, then it is summarized as abnormal frequency point and PCI, and is written into abnormal adjacent area frequency point
In PCI allocation list；
S4: finding the record of abnormal frequency point described in step S3 and PCI and judged in neighbor cell configuration information, if should
The RSRP of abnormal frequency point+PCI is greater than the number that -90dBm and the frequency point+PCI occur and is greater than certain number, then judges adjacent area frequency
Point and PCI are the frequency point and PCI that pseudo-base station is forged.
In the present embodiment, by certain cell LTE cell work parameter evidence, matched with certain cell neighbor cell configuration table data,
By Impala platform operation, the complete adjacent area frequency point and PCI configuration information of all cells are obtained, generates cell adjacent area frequency point
And PCI allocation list.
Abnormal frequency point is with cell neighboring BS information table to match screening related data with PCI recognition methods, since existing net is small
There are a possibility that this artificial leakage or artificial not configuring adjacent cell in area to exist, and therefore, it is necessary to may nearby report for cell
Work join in cell frequency point and PCI matched.
According to cell longitude and latitude, the point centered on cell is matched, 1500 meters of surrounding passes through meter away from the website in range
In 1500 meters of point of the whole network center of housing estate for calculating, and joining in conjunction with cell work, effective frequency point and pci data are imported in cell
In heart point range frequency point and PCI information table.
Website distance algorithm is as follows:
Dim x As Double,y As Double
' PI*R*Cos (((Lat1+Lat2)/2) * PI/180) -- in the longitude spacing of their middle latitudes of two latitudes,
I.e. every degree longitude how much rice；
X=(Lon2-Lon1) * PI*R*Cos (((Lat1+Lat2)/2) * PI/180) two longitude differential conversions of/180'
Longitude distance；
' the every degree latitude how much rice of (PI*R)/180--；
The latitude distance that y=(Lat2-Lat1) * two latitude differential conversions of PI*R/180' obtain；
The distance of Distance=Sqr (x*x+y*y) ' point-to-point transmission opens radical sign after quadratic sum.
MR systematic survey event is learnt:
A1 event: indicate that serving cell signal quality is higher than certain thresholding；
A2 event: indicate that serving cell signal quality is lower than certain thresholding；
A3 event: indicate that adjacent area quality is higher than serving cell quality, the switching based on covering for same frequency, alien frequencies；
A4 event: indicate that adjacent area quality is higher than certain thresholding and can be used for load balancing for the switching based on load；
A5 event: serving cell quality is indicated lower than certain thresholding and adjacent area quality is higher than certain thresholding, can be used for bearing
It carries balanced；Isosystem measurement event；
B1 event: adjacent cell quality is higher than certain thresholding, for measuring the different system cell of high priority；
B2 event: serving cell quality is lower than certain thresholding, and adjacent cell quality is higher than certain thresholding, for identical or
The measurement of the different system cell of lower priority.
The event type code that known MR measurement report uploads obtains after the meas ID by parsing MR:
1: period measurement；
2:A1 event；
3:A2 event；
4:A3 event；
5:A4 event；
6:A5 event；
7:B1 event；
8:B2 event；
9: other.
Therefore, MR event recognition restrictive condition is as follows:
mr_type in('1','4','5')
By engineering parameter table data, it can be seen that, mobile cell obtains legal frequency point ranges:
According to above-mentioned data content and MR data are combined, frequency point recognition rule is as follows:
neighbor_1_freq between‘1885’and‘1915’or
neighbor_1_freq between‘2320’and‘2370’or
neighbor_1_freq between‘2575’and‘2635’or
neighbor_1_freq between‘2575’and‘2615’or
neighbor_1_freq>30000
Abnormal frequency point PCI identification model are as follows:
The statistical data in XDR, TOP20 result are as follows:
| Position | Frequency point | pci |
| BBU1 | 37900 | 502 |
| BBU2 | 37900 | 502 |
| BBU3 | 37900 | 502 |
| BBU4 | 40540 | 502 |
| BBU5 | 37900 | 502 |
| BBU6 | 37900 | 502 |
| BBU7 | 37900 | 502 |
| BBU8 | 37900 | 502 |
| BBU9 | 40540 | 502 |
| BBU10 | 37900 | 502 |
| BBU11 | 37900 | 502 |
| BBU12 | 37900 | 502 |
| BBU13 | 40738 | 310 |
| BBU14 | 37900 | 502 |
| BBU15 | 37900 | 502 |
| BBU16 | 37900 | 502 |
| BBU17 | 40540 | 502 |
| BBU18 | 37900 | 502 |
| BBU19 | 40540 | 17 |
| BBU20 | 37900 | 502 |
By verifying, pseudo-base station provincial characteristics is more apparent, is in pseudo-base station coverage region.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (3)
1. a kind of mobile communication 4G pseudo-base station recognition methods based on MR data, which comprises the following steps:
S1: by traversing the whole network cell, obtain existing net cell faces area's configuration information；
S2: the distributed model of " serving cell+adjacent area frequency point+PCI " is established；
S3: judging whether there is according to distributed model and legal frequency point and PCI newly occur, if this frequency point and PCI be not in existing net service
In the allocation list of the frequency point+PCI of cell, be then summarized as abnormal frequency point and PCI, and be written into abnormal adjacent area frequency point and
In PCI allocation list；
S4: the record of abnormal frequency point described in step S3 and PCI is found in neighbor cell configuration information and is judged, if the exception
The RSRP of frequency point+PCI is greater than the number that -90dBm and the frequency point+PCI occur and is greater than certain number, then judge the adjacent area frequency point and
PCI is the frequency point and PCI that pseudo-base station is forged.
2. a kind of mobile communication 4G pseudo-base station recognition methods based on MR data according to claim 1, which is characterized in that
The step S2 is specifically included according to cell longitude and latitude, matches the point centered on cell, 1500 meters of surrounding is away from the station in range
Point, by calculating, and in 1500 meters of point of the whole network center of housing estate joined in conjunction with cell work, effective frequency point and pci data are led
Enter in center of housing estate point range frequency point and PCI information table.
3. a kind of mobile communication 4G pseudo-base station recognition methods based on MR data according to claim 2, which is characterized in that
The calculating cell site distance includes following algorithm:
Dim x As Double,y As Double
' PI*R*Cos (((Lat1+Lat2)/2) * PI/180) -- in the longitude spacing of their middle latitudes of two latitudes, i.e., often
Longitude how much rice spent
The longitude of x=(Lon2-Lon1) * PI*R*Cos (((Lat1+Lat2)/2) * PI/180) two longitude differential conversions of/180'
Distance
' the every degree latitude how much rice of (PI*R)/180--
The latitude distance that y=(Lat2-Lat1) * two latitude differential conversions of PI*R/180' obtain
The distance of Distance=Sqr (x*x+y*y) ' point-to-point transmission opens radical sign after quadratic sum.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810877243.1A CN109195165A (en) | 2018-08-03 | 2018-08-03 | A kind of mobile communication 4G pseudo-base station recognition methods based on MR data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810877243.1A CN109195165A (en) | 2018-08-03 | 2018-08-03 | A kind of mobile communication 4G pseudo-base station recognition methods based on MR data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109195165A true CN109195165A (en) | 2019-01-11 |
Family
ID=64920048
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810877243.1A Pending CN109195165A (en) | 2018-08-03 | 2018-08-03 | A kind of mobile communication 4G pseudo-base station recognition methods based on MR data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109195165A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111093156A (en) * | 2019-11-29 | 2020-05-01 | 中国联合网络通信集团有限公司 | Pseudo base station position locating method, device and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160029253A1 (en) * | 2014-07-28 | 2016-01-28 | Telefonaktiebolaget L M Ericsson (Publ) | System and method of automatic neighbor relation (anr) intelligence enhancement for boomer neighbor in lte |
| CN107567030A (en) * | 2017-10-19 | 2018-01-09 | 中国电信股份有限公司南京分公司 | A kind of method and system investigated with evading pseudo-base station interference |
| CN108260126A (en) * | 2016-12-29 | 2018-07-06 | 中国移动通信集团浙江有限公司 | A kind of pseudo-base station recognition positioning method and device |
-
2018
- 2018-08-03 CN CN201810877243.1A patent/CN109195165A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160029253A1 (en) * | 2014-07-28 | 2016-01-28 | Telefonaktiebolaget L M Ericsson (Publ) | System and method of automatic neighbor relation (anr) intelligence enhancement for boomer neighbor in lte |
| CN108260126A (en) * | 2016-12-29 | 2018-07-06 | 中国移动通信集团浙江有限公司 | A kind of pseudo-base station recognition positioning method and device |
| CN107567030A (en) * | 2017-10-19 | 2018-01-09 | 中国电信股份有限公司南京分公司 | A kind of method and system investigated with evading pseudo-base station interference |
Non-Patent Citations (1)
| Title |
|---|
| 格物而致知: "求助大侠，MATLAB结果输出问题 https://zhidao.baidu.com/question/286110612.html", 《百度知道》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111093156A (en) * | 2019-11-29 | 2020-05-01 | 中国联合网络通信集团有限公司 | Pseudo base station position locating method, device and storage medium |
| CN111093156B (en) * | 2019-11-29 | 2020-12-15 | 中国联合网络通信集团有限公司 | Pseudo base station position locating method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104853379B (en) | A kind of quality of wireless network appraisal procedure and device | |
| CN105682097B (en) | A kind of pseudo-base station recognition positioning method and device | |
| CN103052104B (en) | Indoor distributed signal leakage check method and device | |
| CN106856608B (en) | LTE network base station coverage effectiveness evaluation method and device | |
| CN109995566B (en) | Network fault positioning method, device, equipment and medium | |
| CN103052103B (en) | A kind of room divides traffic to reveal inspection method and device | |
| WO2016086607A1 (en) | Method and apparatus for determining antenna fault, and terminal | |
| CN108696888A (en) | A kind of method and device of determining overlapping coverage cell | |
| CN112583644B (en) | Alarm processing method, device, equipment and readable storage medium | |
| CN108416514B (en) | Neighbor cell planning method and device based on geographic information system | |
| CN108197254B (en) | A kind of data recovery method based on neighbour | |
| CN109195165A (en) | A kind of mobile communication 4G pseudo-base station recognition methods based on MR data | |
| Kalamkar et al. | Improved double threshold energy detection for cooperative spectrum sensing in cognitive radio | |
| Zhang et al. | Comprehensive IoT SIM card anomaly detection algorithm based on big data | |
| CN109639478A (en) | There are the method, apparatus of family relationship client, equipment and media for identification | |
| WO2016090841A1 (en) | Gsm network switching failure management method and device | |
| Bhat et al. | A method for fault tolerant localization of heterogeneous wireless sensor networks | |
| CN113973336B (en) | Method, device, equipment and storage medium for determining interference cells in network | |
| CN108271181B (en) | PCI (peripheral component interconnect) optimization method and device for wireless network | |
| CN106941685B (en) | Method and system for determining reverse connection of antenna | |
| CN110753369B (en) | Method and device for detecting interrupt cell | |
| CN108271183B (en) | Neighbor cell optimization method and device based on original measurement report | |
| CN109348490A (en) | A kind of method and device of the adjoining carrier wave of identification interference railway LTE network | |
| CN109788501A (en) | 2G+4G mobile network's voice quality joint assessment method and device | |
| Zhang et al. | Secure sensor localization in wireless sensor networks based on neural network |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190111 |