Intelligent decision making framework for 6G network

被引：8

作者：

Hu, Zheng ^{[1
]}

Zhang, Ping ^{[1
]}

Zhang, Chunhong ^{[2
]}

Zhuang, Benhui ^{[1
]}

Zhang, Jianhua ^{[1
]}

Lin, Shangjing ^{[1
]}

Sun, Tao ^{[3
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China

[2] Minist Educ, Key Lab Universal Wireless Commun, Beijing 100876, Peoples R China

[3] China Mobile Res Inst, Infrastruct Network, Technol Res Dept, Beijing 100053, Peoples R China

来源：

CHINA COMMUNICATIONS | 2022年 / 19卷 / 03期

关键词：

6G wireless communication network; reinforcement learning; cognition intelligence; RESOURCE-MANAGEMENT; 5G; GAME; GO;

D O I：

10.23919/JCC.2022.03.002

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Sixth Generation (6G) wireless communication network has been expected to provide global coverage, enhanced spectral efficiency, and AI(Artificial Intelligence)-native intelligence, etc. To meet these requirements, the computational concept of Decision-Making of cognition intelligence, its implementation framework adapting to foreseen innovations on networks and services, and its empirical evaluations are key techniques to guarantee the generation-agnostic intelligence evolution of wireless communication networks. In this paper, we propose an Intelligent Decision Making (IDM) framework, acting as the role of network brain, based on Reinforcement Learning modelling philosophy to empower autonomous intelligence evolution capability to 6G network. Besides, usage scenarios and simulation demonstrate the generality and efficiency of IDM. We hope that some of the ideas of IDM will assist the research of 6G network in a new or different light.

引用

页码：16 / 35

页数：20

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