A survey on intelligence-endogenous network: Architecture and technologies for future 6G

被引:2
作者
Li L. [1 ]
机构
[1] School of Communication and Information Engineering, Shanghai Technical Institute of Electronics and Information, Shanghai
来源
Intelligent and Converged Networks | 2024年 / 5卷 / 01期
关键词
5G; 6G; artificial intelligence; intelligence-endogenous;
D O I
10.23919/ICN.2024.0005
中图分类号
学科分类号
摘要
With the maturity of 5G technology and global commercialization, scholars in institutions and industrial circles began to research 6G technology. An important innovation of 6G technology is to integrate artificial intelligence (AI) technology and communication technology to build a highly endogenous intelligent communication network. This paper investigates the process of AI technology introduced into the field of communication and reviews the use cases of the simulation and application of AI algorithms being discussed in 3GPP meetings in industry circles. In this research report, we first investigate the progress of AI technology in 5G network architecture and then discuss the requirements of endogenous intelligent 6G networks, which leads to the possible network architecture. This work aims to provide enlightening guidance for subsequent research of intelligence-endogenous 6G network. © All articles included in the journal are copyrighted to the ITU and TUP.
引用
收藏
页码:53 / 67
页数:14
相关论文
共 72 条
[71]  
Li L., Yi Y., Zhang C., You X., Huang Y., Interactive methods, devices, equipment, and storage media for wireless networks, (2023)
[72]  
Li Z., Wang C.X., Huang J., Zhou W., Huang C., A gan-lstm based ai framework for 6g wireless channel prediction, Proc. IEEE 95th Vehicular Technology Conference (VTC2022-Spring), pp. 1-5, (2022)