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:
Jun. 10, 2025

Filed:

Mar. 25, 2022
Applicant:

Viavi Solutions Inc., San Jose, CA (US);

Inventors:

Howard John Thomas, Stonehouse, GB;

Christopher Michael Murphy, Bath, GB;

Kexuan Sun, Stevenage, GB;

Agustin Pozuelo, County Dublin, IE;

Baruch Friedman, Dublin, IE;

Takai Eddine Kennouche, Meylan, FR;

Assignee:

VIAVI Solutions Inc., Chandler, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 72/02 (2009.01); G06N 5/022 (2023.01); H04W 16/22 (2009.01); H04W 24/02 (2009.01); H04W 24/08 (2009.01);
U.S. Cl.
CPC ...
H04W 24/02 (2013.01); G06N 5/022 (2013.01); H04W 16/22 (2013.01); H04W 24/08 (2013.01);
Abstract

A device may receive real mobile radio data identifying measurements of radio transmissions of base stations and user devices of a mobile radio environment in a geographical area, and may receive network topology data associated with the geographical area. The device may utilize, based on the network topology data, a machine learning feature extraction approach to generate a representation of invariant aspects of spatiotemporal predictable components of the real mobile radio data, and may generate, based on the representation of invariant aspects, stochastic data that includes a probability that a radio signal will be obstructed. The device may utilize the stochastic data to identify a realistic discoverable spatiotemporal signature, and may train or evaluate a system to manage performance of a mobile radio network based on the realistic discoverable spatiotemporal signature.


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