An Overview of Wireless Communication Technology Using Deep Learning

被引：1

作者：

Jiyu Jiao ^{[1
]}

Xuehong Sun ^{[1
,2
]}

Liang Fang ^{[1
]}

Jiafeng Lyu ^{[1
]}

机构：

[1] School of Physics and Electronic-Electrical Engineering, Ningxia University

[2] School of Information Engineering, Ningxia University

来源：

China Communications | 2021年 / 18卷 / 12期

关键词：

D O I：

暂无

中图分类号：

TN92 [无线通信]; TP18 [人工智能理论];

学科分类号：

080402 ; 080904 ; 0810 ; 081001 ; 081104 ; 0812 ; 0835 ; 1405 ;

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 demands of communication in the future such as superheterogeneous network, multiple communication scenarios, large number of antenna elements and large bandwidth, new theories and technologies of intelligent communication have been widely studied, among which Deep Learning(DL) is a powerful technology in artificial intelligence(AI).It can be trained to continuously learn to update the optimal parameters.This paper reviews the latest research progress of DL in intelligent 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 Communication(VLC).The prospect and challenges of further research and development in the future are also discussed.

引用

页码：1 / 36

页数：36

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