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:
Aug. 26, 2025

Filed:

Oct. 06, 2022
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Harikrishna Vobilishetti, Karnataka, IN;

Sridharan Bharathi Ramulu, Karnataka, IN;

Swaraj Kumar, Karnataka, IN;

Saumil Maniar, Karnataka, IN;

Vishal Murgai, Karnataka, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/02 (2006.01); G06N 20/00 (2019.01); H04B 17/26 (2015.01); H04B 17/391 (2015.01); H04W 72/02 (2009.01); H04W 72/0446 (2023.01); H04W 72/0453 (2023.01); H04W 72/21 (2023.01); H04W 72/23 (2023.01); H04W 72/51 (2023.01); H04W 72/542 (2023.01); 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);
U.S. Cl.
CPC ...
H04W 72/21 (2023.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); H04B 17/26 (2015.01); H04B 17/3913 (2015.01); H04W 72/02 (2013.01); H04W 72/0446 (2013.01); H04W 72/0453 (2013.01); H04W 72/23 (2023.01); H04W 72/51 (2023.01); H04W 72/542 (2023.01); 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

The present disclosure relates to method and resource allocation entity for allocating Physical Uplink Control Channel (PUCCH) resources to User Equipments (UEs) in a communication network. The method comprises identifying one or more PUCCH resource pools to be allocated to cell camped on by one or more UEs, based on one or more first parameters associated with cell, using machine learning model. Further, the method comprises identifying one or more PUCCH resources to be allocated to each UE, based on one or more PUCCH resources pools and one or more second parameters associated with corresponding UE, using machine learning model. The method comprises allocating one or more PUCCH resource sets from plurality of PUCCH resource sets to each UE, based on one or more PUCCH resources identified for each UE and one or more parameters of plurality of PUCCH resource sets.


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