AI Assisted PHY in Future Wireless Systems: Recent Developments and Challenges

作     者：Wei Chen Ruisi He Gongpu Wang Jiayi Zhang Fanggang Wang Ke Xiong Bo Ai Zhangdui Zhong Wei Chen;Ruisi He;Gongpu Wang;Jiayi zhang;Fanggang Wang;Ke Xiong;Bo Ai;Zhangdui Zhong

作者机构：State Key Laboratory of Rail Traffic Control and SafetyBeijing Jiaotong UniversityBeijing 100044China School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijing 100044China School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijing 100044China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2021年第18卷第5期

页      面：285-297页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 12[管理学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 081001[工学-通信与信息系统] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：the Fundamental Research Funds for the Central Universities(2020JBM090,2020JBZD005) National Key R&D Program of China(2018YFE0207600,2020YFB1807201) the Key-Area Research and Development Program of Guangdong Province(2019B010157002) the Natural Science Foundation of China(61671046,61911530216,6196113039,U1834210) the Beijing Natural Science Foundation(L202019) the State Key Laboratory of Rail Traffic Control and Safety(RCS2021ZZ004,RCS2020ZT010)of Beijing Jiaotong University NSFC Outstanding Youth Foundation under Grant 61725101 the Royal Society Newton Advanced Fellowship under Grant NA191006 

主　　题：artificial intelligence wireless communications physical layer 

摘      要：Nowadays,the rapid development of artificial intelligence(AI)provides a fresh perspective in designing future wireless communication *** attempts exploiting AI methods have been carried out,which results in the state-of-the-art performance in many different areas of wireless *** this article,we present the most recent and insightful developments that demonstrate the potentials of AI techniques in different physical layer(PHY)components and applications including channel characterization,channel coding,intelligent signal identification,channel estimation,new PHY for random access in massive machine-type communication(mMTC),massive multiple-input multiple-output(MIMO)power control and PHY resource *** challenges and potential future directions are identified and discussed along this research line.