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:
Mar. 26, 2024

Filed:

Nov. 30, 2021
Applicant:

University of Science and Technology Beijing, Beijing, CN;

Inventors:

Haijun Zhang, Beijing, CN;

Wanqing Guan, Beijing, CN;

Dong Wang, Beijing, CN;

Tongwei Lu, Beijing, CN;

Xiangming Wen, Beijing, CN;

Keping Long, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04W 72/50 (2023.01); G06N 20/00 (2019.01); H04L 47/62 (2022.01); H04W 72/23 (2023.01);
U.S. Cl.
CPC ...
H04W 72/535 (2023.01); G06N 20/00 (2019.01); H04L 47/6225 (2013.01); H04W 72/23 (2023.01);
Abstract

An Artificial Intelligence (AI) engine-supporting downlink radio resource scheduling method and apparatus are provided. The AI engine-supporting downlink radio resource scheduling method includes: constructing an AI engine, establishing a Socket connection between an AI engine and an Open Air Interface (OAI) system, and configuring the AI engine into an OAI running environment to utilize the AI engine to replace a Round-Robin scheduling algorithm and a fair Round-Robin scheduling algorithm adopted by a Long Term Evolution (LTE) at a Media Access Control (MAC) layer in the OAI system for resource scheduling to take over a downlink radio resource scheduling process; sending scheduling information to the AI engine through Socket during the downlink radio resource scheduling process of the OAI system; and utilizing the AI engine to carry out resource allocation according to the scheduling information, and returning a resource allocation result to the OAI system.


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