US 11,943,793 B2
AI engine-supporting downlink radio resource scheduling method and apparatus
Haijun Zhang, Beijing (CN); Wanqing Guan, Beijing (CN); Dong Wang, Beijing (CN); Tongwei Lu, Beijing (CN); Xiangming Wen, Beijing (CN); and Keping Long, Beijing (CN)
Assigned to University of Science and Technology Beijing, Beijing (CN)
Filed by University of Science and Technology Beijing, Beijing (CN)
Filed on Nov. 30, 2021, as Appl. No. 17/537,542.
Claims priority of application No. 202110729669.4 (CN), filed on Jun. 29, 2021.
Prior Publication US 2022/0417956 A1, Dec. 29, 2022
Int. Cl. H04W 72/50 (2023.01); G06N 20/00 (2019.01); H04L 47/62 (2022.01); H04W 72/23 (2023.01)
CPC H04W 72/535 (2023.01) [G06N 20/00 (2019.01); H04L 47/6225 (2013.01); H04W 72/23 (2023.01)] 10 Claims
OG exemplary drawing
 
1. An Artificial Intelligence (AI) engine-supporting downlink radio resource scheduling method, comprising:
constructing an AI engine, establishing a Socket connection between the 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 for resource scheduling to take over a downlink radio resource scheduling process, wherein the Round-Robin scheduling algorithm and the fair Round-Robin scheduling algorithm are adopted by a Media Access Control (MAC) layer in the OAI system;
sending scheduling information to the AI engine through a Socket during the downlink radio resource scheduling process of the OAI system; and
utilizing the AI engine to carry out a resource allocation according to the scheduling information, and returning a resource allocation result to the OAI system.