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
图1 实测信道数据场景示意图
图2 实测信道数据处理流程
QuanCsiNet的网络结构如下图所示。编码器用于对CSI进行特征提取和压缩,量化模块用于将压缩测量值用有限位表示,转化为比特流便于实际系统存储和传输;逆量化模块用于将比特流恢复成压缩测量值,译码器用于特征解压缩和信道恢复。
图3 QuanCsiNet网络结构
具体来说,文章
评估了基于DL的CSI反馈方案在实际信道环境中的性能,推动后续研究和实际部署。
论文下载链接:
AI Enabled Wireless Communications with Real Channel Measurements: Channel Feedback
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.
本文由论文作者供稿。
作者简介
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).
联系客服