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:
Feb. 24, 2026

Filed:

Jul. 31, 2024
Applicant:

At&t Intellectual Property I, L.p., Atlanta, GA (US);

Inventors:

Willa Ehrlich, Highland Park, NJ (US);

Li-Chuan Sun, Holmdel, NJ (US);

Lingyuan Cao, Holmdel, NJ (US);

Samyukta Kulkarni, Edison, NJ (US);

Elissa Backas, Sayreville, NJ (US);

Mark Stockert, San Antonio, TX (US);

Dhruva Kumar Singh, Renton, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/14 (2022.01); H04L 43/0823 (2022.01); H04L 41/22 (2022.01);
U.S. Cl.
CPC ...
H04L 41/145 (2013.01); H04L 43/0823 (2013.01); H04L 41/22 (2013.01);
Abstract

A processing system may obtain time series associated with a plurality of network functions of a communication network, each time series including a sequence of values over a plurality of time intervals, each value indicating a percentage of events generated by a respective network function indicating a procedure failure within a respective time interval out of a total number of events generated by the respective network function within the respective time interval, identify, via a time series anomaly detection algorithm implemented by the processing system, an anomaly detection result comprising at least one time interval in which at least one time series exhibits at least one anomaly, apply a query to a generative model requesting an interpretation of the anomaly detection result, where an output comprising the interpretation is generated via the generative model in response to the query, and present the output to at least one endpoint device.


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