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:

Apr. 27, 2021
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Vanitha Aravamudhan Kumar, San Diego, CA (US);

Tom Chin, San Diego, CA (US);

Thomas Christol, Boulder, CO (US);

Uzma Khan Qazi, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04W 56/00 (2009.01); H04W 16/28 (2009.01); H04L 1/20 (2006.01); H04W 80/02 (2009.01); H04B 7/06 (2006.01); H04W 24/10 (2009.01);
U.S. Cl.
CPC ...
H04W 16/28 (2013.01); H04B 7/0695 (2013.01); H04L 1/203 (2013.01); H04W 24/10 (2013.01); H04W 56/001 (2013.01); H04W 80/02 (2013.01);
Abstract

Various embodiments include methods for autonomous beam switching by a wireless device. A processor of the wireless device may measure signal parameters of signals received from a first synchronization signal block (SSB) beam of a base station monitored by the wireless device and other SSB beams of the base station, determine whether a difference in measured signal parameters of signals received from the first SSB beam and another SSB beam of the base station satisfies a signal quality difference threshold, and autonomously switching to the second SSB beam as the serving beam in response to determining that the difference in the measured signal parameters of signals received from the first SSB beam and a second SSB beam satisfies the signal quality difference threshold. The signal quality difference threshold may be listed in a table in memory or determined via machine learning.


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