作者：Jiajia Guo1, Xiangyi Li1, Muhan Chen1, Peiwen Jiang1, Tingting Yang2, Weiming Duan2,Haowen Wang3, Shi Jin1, Quan Yu2
单位：1. National Mobile Communications Research Laboratory, Southeast University; 2. Peng Cheng Laboratory; 3. Laboratory of Broadband Wireless Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences
近年来，人工智能（Artificial Intelligence，AI）在信号处理、信道估计、编码设计等通信领域取得了重大突破，打破了传统通信系统的设计瓶颈，作为一项突破性技术使得智能通信成为未来通信系统研究的热门方向之一。基于深度学习（Deep Learning，DL）的信道状态信息（Channel State Information，CSI）反馈技术因其突出的性能优势得到了广泛关注，但目前相关研究仅使用模拟生成的数据集来训练和测试，无法保证AI算法在实际通信系统中仍然具有良好的性能。
引用格式：Jiajia Guo, Xiangyi Li, Muhan Chen, Peiwen Jiang, Tingting Yang, Weiming Duan, Haowen Wang, Shi Jin, Quan Yu, “AI Enabled Wireless Communications with Real Channel Measurements: Channel Feedback”, Journal of Communications and Information Networks, vol. 5, no. 3, pp. 310-317, Sep. 2020.
Jiajia Guo（郭佳佳）received the B.S. degree from Nanjing University of Science and Technology, Nanjing, China, in 2016, and the M.S. degree from University of Science and Technology of China, Hefei, China, in 2019. He is currently working towards the Ph.D. degree in information and communications engineering, Southeast University, China. His research interests currently include, deep learning, neural network compression, massive MIMO, and machine learning in communications.
Xiangyi Li（李湘宜）received the B.S. degree from School of Mathematics, Tianjin University, Tianjin, China, in 2017, and the M.S. degree from Centre for Applied Mathematics, Tianjin University, in 2020. She is currently working toward the Ph.D. degree in information and communications engineering, Southeast University, China. Her main research focuses on deep learning application in wireless communication and massive MIMO systems.
Muhan Chen（陈慕涵）received the B.S. degree from the School of Information Science and Engineering, Southeast University, Nanjing, China, in 2019. She is currently working toward the M.S. degree with the School of Information Science and Engineering, Southeast University, Nanjing, China. Her research interests center around deep learning applications in wireless communication systems.
Peiwen Jiang（姜培文）received the B.S. degree from Southeast University, Nanjing, China in 2019. He is currently working toward the Ph.D. degree with the School of Information Science and Engineering, Southeast University. His research interests include deep learning-based channel estimation and signal detection in communications.
Tingting Yang（杨婷婷）received her B.Sc. and Ph.D. degrees from Dalian Maritime University, China, in 2004 and 2010, respectively. She is currently a Research Professor at Peng Cheng Laboratory, China. Her research interests are in the areas of maritime wideband communication networks, AI-empowered wireless communications. She serves as the Associate Editor-in-Chief of the IET Communications, as well as the Advisory Editor for SpringerPlus.
Weiming Duan（段为明）is now a Senior Engineer in Peng Cheng Laboratory. He received his M.S. degree in communication and information system from the University of Electronic Science and Technology of China (UESTC) in 1999. In the same year, he joined Huawei Wireless Research Department in Shanghai and has worked there for 20 years. He has worked on baseband algorithm for 3G/4G, advanced receiver for 4G, waveform concept research for 5G, and has also been deeply involved in low-level algorithm library optimization to speed up largescale system simulation.
Haowen Wang（王浩文）is a Senior Engineer of Laboratory of Broadband Wireless Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (SIMIT). He received his B.S. and M.S. degrees from EE department and College of Software of Fudan University. In SIMIT, Haowen is a leader of wireless technology R&D group. He has many years of experience in the test and verification for the new technologies of wireless communications. His job and research interests include RF data acquisition, channel measurement, verification and test solution.
Shi Jin（金石）[corresponding author] received his B.S. degree in communications engineering from Guilin University of Electronic Technology, Guilin, China, in 1996, his M.S. degree from Nanjing University of Posts and Telecommunications, Nanjing, China, in 2003, and his Ph.D. degree in information and communications engineering from Southeast University, Nanjing, in 2007. From June 2007 to October 2009, he was a Research Fellow with the Adastral Park Research Campus, University College London, London, U.K. He is currently with the Faculty of the National Mobile Communications Research Laboratory, Southeast University. His research interests include space time wireless communications, random matrix theory, and information theory. He serves as an Associate Editor for the IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IET Communications. He and his coauthors have been awarded the 2011 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communication theory and the 2010 Young Author Best Paper Award by IEEE Signal Processing Society.
Quan Yu（于全）received his B.S. degree in radio physics from Nanjing University, China, in 1986, his M.S. degree in radio wave propagation from Xidian University, China, in 1988, and his Ph.D. degree in fiber optics from the University of Limoges, France, in 1992. He is currently a Research Professor at Peng Cheng Laboratory. His main areas of research interest are the architecture of wireless networks and cognitive radio. He is an Academician of the Chinese Academy of Engineering (CAE) and the founding Editor-in-Chief of the Journal of Communications and Information Networks (JCIN).