IP Library Granted Patent US 12,363,539
Granted Patent B2
US 12,363,539 · App. 18/841,847 · Granted Jul 15, 2025

Method and system for detecting anomaly in radio access network

Inventors: Jukka Pietarinen (Helsinki, FI); Teemu Karhima (Helsinki, FI)
Assignee: Eilsa Oyj
H04W12/122H04W24/08
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Quick Facts
Patent No.
US 12,363,539
App. No.
18/841,847
Granted
Jul 15, 2025
Kind
B2
Abstract

Disclosed is a system and a method for detecting anomaly in a radio access network (RAN). The method includes receiving quality parameters data for a wide communication network established by plurality of base stations associated with the RAN; defining a first radio fingerprint based on the quality parameters data for the wide communication network; monitoring, by one of the base stations installed in a geological area, quality parameters data for a local communication network; defining a second radio fingerprint based on the quality parameters data for the local communication network; comparing the first radio fingerprint and the second radio fingerprint to determine variation in the quality parameters data therebetween; and generating an alert signal indicative of presence of a possible fake base station in the geological area based on the determined variation in the quality parameters data.

Claims (29)

1. A method for detecting an anomaly in a radio access network (RAN), the method comprising:

receiving quality parameters data for a wide communication network established by a plurality of base stations associated with the RAN;

defining a first radio fingerprint based on the quality parameters data for the wide communication network, wherein defining the first radio fingerprint comprises:

isolating the quality parameters data for one or more base stations of the plurality of base stations installed in a geological area from the received quality parameters data for the wide communication network, wherein the quality parameters data is isolated by using a clustering algorithm; and

defining the first radio fingerprint based on the said isolated quality parameters data;

monitoring, by one of the one or more base stations of the plurality of base stations, installed in the geological area, quality parameters data for a local communication network, wherein the local communication network is a subset of the wide communication network;

defining a second radio fingerprint based on the quality parameters data for the local communication network;

comparing the first radio fingerprint and the second radio fingerprint to determine a variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network, wherein the variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network is determined by at least one of: binary segmentation algorithm, Pruned Exact Linear Time (PELT) algorithm, Z-score based algorithm; and

generating an alert signal indicative of a presence of a possible fake base station in the geological area based on the determined variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network.

2. The method according to claim 1 further comprising intermittently receiving the quality parameters data for the wide communication network after each first predefined interval of time.

3. The method according to claim 2 further comprising configuring the said one of the base stations installed in the geological area to monitor the quality parameters data for the local communication network after each second predefined interval of time, wherein the second predefined interval of time is smaller than the first predefined interval of time.

4. The method according to claim 1 , wherein the quality parameters data for the wide communication network and the quality parameters data for the local communication network comprises one or more of: Received Total Wideband Power (RTWP), Received Signal Strength Indicator (RSSI), Signal to Interference Noise Ratio (SINR), GPS location verification, GPS signal strength.

5. A computer program product comprising a non-transitory computer readable medium with computer executable program code which when executed by a data processing arrangement causes a system to perform the method of claim 1 .

6. A system for detecting anomaly in a radio access network (RAN) comprising a plurality of base stations, the system comprising:

a plurality of data collection devices, with each of the plurality of data collection devices coupled with one of the plurality of base stations associated with the RAN,

wherein the plurality of data collection devices are configured to, collectively, monitor quality parameters data for a wide communication network established by the plurality of base stations;

wherein each of the plurality of data collection devices is configured to monitor quality parameters data for a local communication network corresponding to one of the base stations, of the plurality of base stations, installed in a geological area, wherein the local communication network is a subset of the wide communication network; and

a data processing arrangement configured to:

receive the quality parameters data for the wide communication network;

define a first radio fingerprint based on the quality parameters data for the wide communication network, wherein the data processing arrangement is configured to:

isolate the quality parameters data for one or more base stations of the plurality of base stations, installed in the geological area from the received quality parameters data for the wide communication network, wherein the data processing arrangement is configured to isolate the quality parameters data by using a clustering algorithm; and

define the first radio fingerprint based on the said isolated quality parameters data;

receive the quality parameters data for the local communication network;

define a second radio fingerprint based on the quality parameters data for the local communication network;

compare the first radio fingerprint and the second radio fingerprint to determine a variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network, wherein the variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network is determined by at least one of: binary segmentation algorithm, Pruned Exact Linear Time (PELT) algorithm, Z-score based algorithm; and

generate an alert signal indicative of a presence of a possible fake base station in the geological area based on the determined variation between the quality parameters data for the wide communication network and the quality parameters data for the local communication network.

7. The system according to claim 6 , wherein the plurality of data collection devices are configured to intermittently monitor the quality parameters data for the wide communication network after each first predefined interval of time.

8. The system according to claim 7 , wherein each of the plurality of data collection devices is configured to monitor the quality parameters data for the corresponding local communication network after each second predefined interval of time, wherein the second predefined interval of time is smaller than the first predefined interval of time.

9. The system according to claim 6 , wherein the quality parameters data for the wide communication network and the quality parameters data for the local communication network comprise one or more of: Received Total Wideband Power (RTWP), Received Signal Strength Indicator (RSSI), Signal to Interference Noise Ratio (SINR), GPS location verification, GPS signal strength.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 27, 2024
From: PIETARINEN, JUKKA; KARHIMA, TEEMU
To: ELISA OYJ
Reel/Frame 068412/0565 →
Priority Claims (1)
FI 20225359 · Apr 28, 2022 · national
Continuity (1)
Related Publication 20250071553A1 · Feb 27, 2025
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