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:
Oct. 07, 2025

Filed:

Mar. 31, 2021
Applicant:

Zte Corporation, Guangdong, CN;

Inventors:

Jiajun Chen, Guangdong, CN;

Yin Gao, Guangdong, CN;

Zhuang Liu, Guangdong, CN;

Assignee:

ZTE CORPORATION, Guangdong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/16 (2022.01); G06N 3/098 (2023.01); H04W 24/10 (2009.01); G06N 3/0985 (2023.01);
U.S. Cl.
CPC ...
H04L 41/16 (2013.01); G06N 3/098 (2023.01); H04W 24/10 (2013.01); G06N 3/0985 (2023.01);
Abstract

The present application provides a network optimization method, including: sending a session setup request message to a client device to request the client device to perform measurement configuration on a designated network side device and perform measurement configuration on a terminal device connected to the designated network side device; receiving a measurement report message of the designated network side device and a measurement report message of the terminal device; determining, according to pre-acquired machine learning description information, whether to perform collaborative training with the client device; and performing designated model training processing for network optimization based on whether to perform collaborative training with the client device and measurement data in the received measurement report messages, and sending a model training processing result to the client device to instruct the client device to obtain a network optimization action according to the model training processing result.


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