智能无线通信技术研究概况

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

通信学报 ›› 2020, Vol. 41 ›› Issue (7): 1-17.doi: 10.11959/j.issn.1000-436x.2020145

• 专题：移动人工智能 • 下一篇

智能无线通信技术研究概况

梁应敞¹,谭俊杰¹,Dusit Niyato²

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

修回日期:2020-06-22 出版日期:2020-07-25 发布日期:2020-08-01
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
基金资助:
国家自然科学基金资助项目(61631005);国家自然科学基金资助项目(U1801261);国家重点研发计划基金资助项目(2018YFB1801105);高等学校学科创新引智计划基金资助项目(B20064)

Overview on intelligent wireless communication technology

Yingchang LIANG¹,Junjie TAN¹,Dusit Niyato²

¹ National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology of China,Chengdu 611731,China
² School of Computer Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore

Revised:2020-06-22 Online:2020-07-25 Published:2020-08-01
Supported by:
The National Natural Science Foundation of China(61631005);The National Natural Science Foundation of China(U1801261);The National Key Research and Development Program of China(2018YFB1801105);The Programme of Introducing Talents of Discipline to Universities(B20064)

摘要/Abstract

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。

关键词: 人工智能, 无线通信, 深度学习, 深度强化学习, 联邦学习

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.

Key words: artificial intelligence, wireless communication, deep learning, deep reinforcement learning, federated learning

中图分类号:

TN929.5

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.

图/表 2

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智能无线通信技术研究概况

Overview on intelligent wireless communication technology

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