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An Overview of Wireless Communication Technology Using Deep Learning 被引量:7

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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.
出处 《China Communications》 SCIE CSCD 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.
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