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:
Jul. 11, 2023

Filed:

Dec. 16, 2021
Applicant:

Arris Enterprises Llc, Suwanee, GA (US);

Inventors:

See Ho Ting, Singapore, SG;

Rajiv Iyer, Los Altos, CA (US);

Assignee:

ARRIS Enterprises LLC, Suwanee, GA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 65/80 (2022.01); G06N 20/00 (2019.01); H04L 41/0677 (2022.01); H04L 41/0631 (2022.01);
U.S. Cl.
CPC ...
H04L 65/80 (2013.01); G06N 20/00 (2019.01); H04L 41/0631 (2013.01); H04L 41/0677 (2013.01);
Abstract

During operation, an electronic device receives, from a second electronic device in a network, a request for testing. In response, the electronic device set ups a video call with a video-call service. Then, the electronic device provides, to the second electronic device, an invitation for the video call. When the electronic device receives a notification (e.g., from the video-call service) that the video call has started, the electronic device provides content via the video-call service for the second electronic device. Next, the electronic device obtains communication-performance metrics associated with communication via the network during the video call and video-service performance metrics associated with the video call. Furthermore, the electronic device diagnoses a type of problem experienced at the second electronic device during the video call based at least in part on the communication-performance metrics, the video-service performance metrics and a pretrained machine-learning model.


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