An Overview of Wireless Communication Technology Using Deep Learning  

作　　者：Jiyu Jiao Xuehong Sun Liang Fang Jiafeng Lyu 

机构地区：[1]School of Physics and Electronic-Electrical Engineering,Ningxia University,Ningxia 750021,China [2]School of Information Engineering,Ningxia University,Ningxia 750021,China

出　　处：《China Communications》2021年第12期1-36,共36页中国通信（英文版）

基　　金：the National Nat-ural Science Foundation of China under Grant No.62061039;Postgraduate Innovation Project of Ningxia University No.JIP20210076;Key project of Ningxia Natural Science Foundation No.2020AAC02006.

摘　　要：with the development of 5G,the future wireless communication network tends to be more and more intelligent.In the face of new service de-mands of communication in the future such as super-heterogeneous network,multiple communication sce-narios,large number of antenna elements and large bandwidth,new theories and technologies of intelli-gent communication have been widely studied,among which Deep Learning(DL)is a powerful technology in artificial intelligence(AI).It can be trained to con-tinuously learn to update the optimal parameters.This paper reviews the latest research progress of DL in in-telligent communication,and emphatically introduces five scenarios including Cognitive Radio(CR),Edge Computing(EC),Channel Measurement(CM),End to end Encoder/Decoder(EED)and Visible Light Com-munication(VLC).The prospect and challenges of further research and development in the future are also discussed.

关 键 词：artificial intelligence wireless communi�cation deep learning cognitive radio edge comput�ing channel measurement end-to-end encoder and decoder visible light communication 

分 类 号：TN92[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]