报告题目：混合毫米波系统的多用户预编码与信道估计
Multi-user Precoding and Channel Estimation for Hybrid
Millimeter Wave Systems
报告人：Jinhong Yuan教授
邀请人：黄爱萍讲师
报告时间：5月9日下午15：00-17：00
报告地点：航海大楼201会议室
内容简介：
我们提出了一种在射频（RF）链的数目远小于在每个收发器上配备的天线的数目条件下，用于混合毫米波（毫米波）系统的低复杂度信道估计算法，。该算法首先利用多频音调来估计基站和用户端的最强到达角，用以设计模拟波束形成矩阵。然后，所有用户沿着估计得到的最强到达角的方向向基站发送正交导频码元，以便于进行估计信道。估计的信道信息将用于设计多用户下行传输的基站数字迫零预编码器。我们提出的信道估计算法适用于非稀疏和稀疏的毫米波信道环境。
此外，我们基于所提出的信道估计算法方案推导出一个可实现的数字迫零预编码的上界。理论分析和仿真结果表明，当每个收发器上的射频链数等于天线数时，该方案获得了相当大的全数字系统的传输率。考虑到各种错误的影响，包括随机相位误差、收发信机模拟波束形成误差和等效信道估计误差等，我们证明了所提出的信道估计和多用户下行链路预编码方案对系统缺陷的鲁棒性。
In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed mmWave channel estimation algorithm first exploits multiple frequency tones to estimate the strongest angle-of-arrivals (AoAs) at both base station (BS) and user sides for the design of analog beamforming matrices. Then all the users transmit orthogonal pilot symbols to the BS along the directions of the estimated strongest AoAs in order to estimate the channel. The estimated channel will be adopted to design the digital zero-forcing (ZF) precoder at the BS for the multi-user downlink transmission. The proposed channel estimation algorithm is applicable to both nonsparse and sparse mmWave channel environments. Furthermore, we derive a tight achievable rate upper bound of the digital ZF precoding with the proposed channel estimation algorithm scheme. Our analytical and simulation results show that the proposed scheme obtains a considerable achievable rate of fully digital systems, where the number of RF chains equipped at each transceiver is equal to the number of antennas. Besides, by taking into account the effect of various types of errors, i.e., random phase errors, transceiver analog beamforming errors, and equivalent channel estimation errors, we derive a closedform approximation for the achievable rate of the considered scheme. We illustrate the robustness of the proposed channel estimation and multi-user downlink precoding scheme against the system imperfection
报告人：
Jinhong Yuan教授于1991和1997获得北京理工大学电子工程学士学位和博士学位。1997至1999年间，担任澳大利亚悉尼大学电气工程学院的研究员。2000年，加入了澳大利亚悉尼新南威尔士大学的电气工程和电信学院担任教授。他出版了两本书，三章书，300多篇电讯期刊和会议记录论文，40份工业报告。他是MIMO系统的一项专利和低密度奇偶校验码的两项专利的共同发明者。他合著了三项最佳论文奖和一项最佳海报奖，其中包括2011在墨西哥坎昆举行的ieee无线通信和网络会议的最佳论文奖，以及2007在挪威特隆赫姆举行的ieee无线通信系统国际研讨会的最佳海报奖。他是IEEE研究员，目前是IEEE Transactions on Wireless Communications的副编辑。他在2011至2014年间担任IEEE NSW联合通信/信号处理/海洋工程分会主席，并在2012至2017年间担任IEEE Transactions on Communications副编辑。他目前的研究领域包括差错控制编码和信息论、通信理论和无线通信。
Jinhong Yuan received the B.E. and Ph.D. degrees in electronics engineering from the Beijing Institute of Technology, Beijing, China, in 1991 and 1997, respectively. From 1997 to 1999, he was a Research Fellow with the School of Electrical Engineering, University of Sydney, Sydney, Australia. In 2000, he joined the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia, where he is currently a Telecommunications Professor with the School. He has published two books, three book chapters, over 300 papers in telecommunications journals and conference proceedings, and 40 industrial reports. He is a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check codes. He has co-authored three Best Paper Awards and one Best Poster Award, including the Best Paper Award from the IEEE Wireless Communications and Networking Conference, Cancun, Mexico, in 2011, and the Best Paper Award from the IEEE International Symposium on Wireless Communications Systems, Trondheim, Norway, in 2007. He is an IEEE Fellow and currently serving as an Associate Editor for the IEEE Transactions on Wireless Communications. He served as the IEEE NSW Chair of Joint Communications/Signal Processions/Ocean Engineering Chapter during 2011-2014 and an Associate Editor for the IEEE Transactions on Communications during 2012-2017. His current research interests include error control coding and information theory, communication theory, and wireless communications.
