智能无线通信技术研究概况

梁应敞; 谭俊杰; Dusit Niyato

doi:10.11959/j.issn.1000-436x.2020145

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智能无线通信技术研究概况

专题：移动人工智能 | 更新时间：2024-06-05

- 智能无线通信技术研究概况
- Overview on intelligent wireless communication technology
- 通信学报 2020年41卷第7期页码：1-17
- 作者机构：
  
  1. 电子科技大学通信抗干扰技术国家级重点实验室，四川成都 611731
  2. 南洋理工大学计算机科学与工程学院，新加坡 639798
- 作者简介：
  
  [ "梁应敞（1968- ），男，江西赣州人，博士，电子科技大学教授、博士生导师，主要研究方向为智能无线通信、认知无线电、智慧物联网等" ]
  [ "谭俊杰（1994- ），男，广东肇庆人，电子科技大学博士生，主要研究方向为动态频谱共享、认知无线电、智能无线通信" ]
  [ "Dusit Niyato（1978- ），男，泰国北柳府人，博士，南洋理工大学教授、博士生导师，主要研究方向为无线能量采集、物联网和传感器网络等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61631005);国家自然科学基金资助项目;The National Natural Science Foundation of China(U1801261);国家重点研发计划基金资助项目;The National Key Research and Development Program of China(2018YFB1801105);高等学校学科创新引智计划基金资助项目;The Programme of Introducing Talents of Discipline to Universities(B20064)
- DOI：10.11959/j.issn.1000-436x.2020145
  中图分类号： TN929.5
- 网络出版日期：2020-07，
  
  纸质出版日期：2020-07-25
- 稿件说明：
移动端阅览
梁应敞, 谭俊杰, Dusit Niyato. 智能无线通信技术研究概况[J]. 通信学报, 2020,41(7):1-17.

Yingchang LIANG, Junjie TAN, Dusit Niyato. Overview on intelligent wireless communication technology[J]. Journal on communications, 2020, 41(7): 1-17.
梁应敞, 谭俊杰, Dusit Niyato. 智能无线通信技术研究概况[J]. 通信学报, 2020,41(7):1-17. DOI： 10.11959/j.issn.1000-436x.2020145.

Yingchang LIANG, Junjie TAN, Dusit Niyato. Overview on intelligent wireless communication technology[J]. Journal on communications, 2020, 41(7): 1-17. DOI： 10.11959/j.issn.1000-436x.2020145.

摘要

近年来，人工智能技术已被应用于无线通信领域，以解决传统无线通信技术面对信息爆炸和万物互联等新发展趋势所遇到的瓶颈问题。首先介绍深度学习、深度强化学习和联邦学习三类具有代表性的人工智能技术；然后通过对这三类技术在无线通信中的无线传输、频谱管理、资源配置、网络接入、网络及系统优化5个方面的应用进行综述，分析和总结它们在解决无线通信问题时的原理、适用性、设计方法和优缺点；最后围绕存在的局限性指出智能无线通信技术的未来发展趋势和研究方向，期望为无线通信领域的后续研究提供帮助和参考。

Abstract

In recent years

artificial intelligence (AI) has been applied to wireless communications

in order to address the challenges introduced by data explosion and Internet of everything.Firstly

three core technologies of AI were introduced

including deep learning

deep reinforcement learning

and federated learning.Then

an overview of their applications on wireless communications was provided

from the aspects of wireless transmission

spectrum management

resource allocation

network access

network and system optimization.Based on the overview

the principle

applicability

design methodology

pros and cons on applying AI technologies to solve wireless communication problems were analyzed and summarized.Regarding the existed limitations

the future development trends and research directions on intelligent wireless communication technologies were pointed out

to hopefully provide useful help and reference for the future research in this field.

关键词

Keywords

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