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:
Feb. 27, 2024

Filed:

Sep. 22, 2021
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Ahmed Elshafie, San Diego, CA (US);

Yi Huang, San Diego, CA (US);

Hwan Joon Kwon, San Diego, CA (US);

Krishna Kiran Mukkavilli, San Diego, CA (US);

Jay Kumar Sundararajan, San Diego, CA (US);

Wei Yang, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04B 17/373 (2015.01); H04B 17/391 (2015.01); H04L 1/00 (2006.01); H04L 1/1812 (2023.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01); H04W 8/22 (2009.01); H04W 16/22 (2009.01); H04W 24/08 (2009.01); H04W 24/10 (2009.01); H04W 28/04 (2009.01); H04W 28/06 (2009.01); H04W 84/02 (2009.01); H04W 88/02 (2009.01); H04W 88/08 (2009.01); H04W 92/02 (2009.01); H04W 92/10 (2009.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
H04W 24/10 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); H04B 17/373 (2015.01); H04B 17/3913 (2015.01); H04L 1/002 (2013.01); H04L 1/1812 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04W 8/22 (2013.01); H04W 16/22 (2013.01); H04W 24/08 (2013.01); H04W 28/04 (2013.01); H04W 28/06 (2013.01); H04W 84/02 (2013.01); H04W 88/02 (2013.01); H04W 88/08 (2013.01); H04W 92/02 (2013.01); H04W 92/10 (2013.01);
Abstract

Certain aspects of the present disclosure provide techniques for configuring data transmission. Aspects relate to determining a data transmission configuration utilizing a machine-learning based algorithm, such as a data transmission configuration for ultra-reliable low-latency communication (URLLC) applications. A method that may be performed by a base station (BS) includes receiving a feedback report from a user equipment (UE) including an indication of a first state corresponding to a plurality of channel condition parameters and determining one or more actions based, at least in part, on the first state. The BS may determining the one or more actions utilizing a machine learning algorithm that uses a second state, where the second state is based, at least in part, on the first state.


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