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:
Jan. 23, 2024

Filed:

Mar. 01, 2022
Applicant:

Ribbon Communications Operating Company, Inc., Westford, MA (US);

Inventors:

Charles W. Boyle, Upton, MA (US);

Surya Kumar Kovvali, Plano, TX (US);

Nizar K Purayil, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/16 (2022.01); G06F 16/907 (2019.01); G06N 3/08 (2023.01); G06Q 10/0639 (2023.01); G06N 5/04 (2023.01); H04L 41/5009 (2022.01); H04L 43/0817 (2022.01); H04L 43/0823 (2022.01); H04W 24/02 (2009.01); H04W 24/04 (2009.01); H04W 24/08 (2009.01); H04W 24/10 (2009.01); H04L 65/1073 (2022.01); H04M 3/51 (2006.01); H04L 41/0631 (2022.01); H04L 65/65 (2022.01); H04L 65/1104 (2022.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01);
U.S. Cl.
CPC ...
H04L 41/16 (2013.01); G06F 16/907 (2019.01); G06F 18/2148 (2023.01); G06F 18/23 (2023.01); G06F 18/24155 (2023.01); G06N 3/08 (2013.01); G06N 5/04 (2013.01); G06Q 10/06393 (2013.01); H04L 41/0631 (2013.01); H04L 41/5009 (2013.01); H04L 43/0817 (2013.01); H04L 43/0823 (2013.01); H04L 65/1073 (2013.01); H04L 65/1104 (2022.05); H04L 65/65 (2022.05); H04M 3/5175 (2013.01); H04W 24/02 (2013.01); H04W 24/04 (2013.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01);
Abstract

A method includes: receiving protocol event data from a plurality of probes within the telecommunication system; determining a most probable cause of a call event from the protocol event data; applying the most probable cause to a trained machine learning algorithm that includes the most probable cause as its input and a telecommunication system score as its output; and in response to an output score from the trained machine learning algorithm, performing a corrective action for a plurality of network users that are expected to be affected by the most probable cause.


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