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:
Nov. 18, 2025

Filed:

Jun. 15, 2023
Applicant:

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

Inventors:

Yan Li, Beijing, CN;

Huiyang Wang, Beijing, CN;

Huan He, Beijing, CN;

Guangcan Yan, Beijing, CN;

Jiajia Wang, Beijing, CN;

Yi Zhao, Beijing, CN;

Meifang Jing, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 24/02 (2009.01); H04L 1/00 (2006.01);
U.S. Cl.
CPC ...
H04L 1/0003 (2013.01); H04L 1/0009 (2013.01); H04W 24/02 (2013.01);
Abstract

An example embodiment may provide a method to be performed by a base station and/or a network node, and relevant devices. The method may include: acquiring channel related information of a target user equipment (UE); acquiring a modulation and coding scheme (MCS) determined based on MCS related information, the MCS related information being acquired by an artificial intelligence (AI) network based on the channel related information; and, transmitting the determined MCS to the target UE, the target UE comprising an edge UE, the number of MCS change value of the edge UE being greater than the number of MCS change value of a center UE. The steps in this scheme can be implemented by a trained artificial intelligence method. The corresponding MCS related information may be acquired by an AI network based on the channel related information of the target UE, and the MCS of the target UE may then be determined by using the acquired MCS related information. Since the MCS related information acquired by the AI network can accurately reflect the channel state of the target UE, the determined MCS is more accurate, and the user throughput is thus improved.


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