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. 06, 2023

Filed:

Feb. 23, 2021
Applicant:

Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;

Inventors:

Issa Al-Fanek, Montreal, CA;

Havish Koorapaty, Saratoga, CA (US);

Meral Shirazipour, Santa Clara, CA (US);

Heikki Mahkonen, San Jose, CA (US);

Ravi Manghirmalani, Fremont, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 16/14 (2009.01); H04W 16/18 (2009.01); H04W 24/08 (2009.01); H04W 72/08 (2009.01); H04W 88/10 (2009.01); H04W 74/08 (2009.01); H04W 24/02 (2009.01); H04L 12/26 (2006.01); H04L 43/12 (2022.01);
U.S. Cl.
CPC ...
H04W 16/14 (2013.01); H04L 43/12 (2013.01); H04W 16/18 (2013.01); H04W 24/02 (2013.01); H04W 24/08 (2013.01); H04W 72/082 (2013.01); H04W 74/0816 (2013.01); H04W 88/10 (2013.01);
Abstract

A method by one or more network devices for determining parameter values for a base station of a cellular network operating in a wireless band that is shared with one or more wireless access points. The parameter values are determined to optimize network performance in a manner that allows for fair coexistence between the base station and the one or more wireless access points. The method includes determining, using a machine learning system, parameter values for the base station based on proximity information and activity information for the one or more wireless access points, causing the base station to be configured with the parameter values, determining a measure of how configuring the base station with the parameter values affected network performance based on comparing the level of network performance before and after the base station was configured with the parameter values, and training the machine learning system using the measure.


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