The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 01, 2024

Filed:

Sep. 07, 2018
Applicant:

Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;

Inventors:

Habib Louafi, Montreal, CA;

Makan Pourzandi, Montreal, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 4/70 (2018.01); G06F 18/214 (2023.01); G06F 18/23213 (2023.01); G06N 20/00 (2019.01); H04L 9/40 (2022.01); H04W 12/121 (2021.01); H04W 24/06 (2009.01); H04W 24/08 (2009.01);
U.S. Cl.
CPC ...
H04W 4/70 (2018.02); G06F 18/2148 (2023.01); G06F 18/23213 (2023.01); G06N 20/00 (2019.01); H04L 63/1425 (2013.01); H04W 12/121 (2021.01); H04W 24/06 (2013.01); H04W 24/08 (2013.01);
Abstract

Systems and methods for detecting abnormal User Equipment (UE) behavior in a cellular communications system are disclosed. In some embodiments, a method of operation of a first Network Anomaly Detection (NAD) function associated with a first Radio Access Network (RAN) in a cellular communications system comprises, during a period of time, obtaining information regarding UEs served by the first RAN, detecting that a particular UE has moved from the first RAN to a second RAN, and sending at least some of the information regarding the particular UE to a second NAD function associated with the second RAN. The method further comprises producing a trained partial model of UE behavior for the first RAN, sending corresponding information to the second NAD function, receiving information regarding a trained partial model of UE behavior for the second RAN, generating a trained global model, and performing a prediction of abnormal UE behavior based thereon.


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