北京科学与工程计算研究院学术报告之六十四

报告人/Speaker: 张纵辉(香港中文大学)


报告题目/Title: Transceiver Optimization in Full-Duplex Multi-User Networks


时间/Date & Time: June 19, 2018, 10:30—11:30


地点/Location: 理科楼M842报告厅


报告摘要/Abstract:

Full-duplex can double the capacity of the wireless networks, making it one of the key technologies for the next-generation communication systems. In this talk, we consider a multi-user wireless system with one full duplex (FD) base station (BS) serving a set of half duplex (HD) mobile users. We first review the classical optimal transceiver designs for a HD BS in a single-cell multi-antenna multi-user network, in particular the elegant solutions obtained by the convex optimization theory. Then we introduce the new challenges in transceiver design and resource allocation in the FD multi-user network. In particular, the FD system couples the downlink (DL) and uplink (UL) transmission owing to the in-band self-interference (SI) and the new co-channel interference (CCI) between the uplink users and the downlink users. To cope with the SI and CCI, we formulate a quality-of-service (QoS) constrained linear transceiver design problem. The problem jointly optimizes the DL and UL beamforming vectors of the BS and the transmission powers of UL users so as to provide both the DL and UL users with guaranteed signal-to-interference-plus-noise ratio performance, using a minimum UL and DL transmission sum power. The formulated design problem is not convex and challenging to solve in general. We first show that for a special case with a worst-case SI channel estimation error, the QoS-based linear transceiver design problem is globally solvable by a polynomial time bisection algorithm. For the general case, we propose a suboptimal algorithm based on alternating optimization (AO). The AO algorithm is guaranteed to converge to a Karush-Kuhn-Tucker solution. To improve the computational efficiency of the AO algorithm, we further develop a fixed-point iterative method by extending the classical uplink-downlink duality in HD systems to the FD system. Simulation results are presented to demonstrate the performance of the proposed algorithms and the comparison with HD systems.


报告人简介/About the speaker:

{Tsung-Hui Chang}(S'07-M'08-SM'17) received the B.S. degree in electrical engineering and the Ph.D. degree in communications engineering from National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2003 and 2008, respectively. He is currently an Associate Professor with the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China. From 2012 to 2015,  he was an Assistant Professor with the Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology
(NTUST), Taipei, Taiwan. Prior being a faculty member, he held research positions with NTHU, from 2008 to 2011, and the University of California at Davis, Davis,
CA, USA, from 2011 to 2012. His research interests include signal processing and optimization problems in data communications, smart grid, and machine
learning. Dr. Chang received the Young Scholar Research Award of NTUST in 2014, the IEEE ComSoc Asian-Pacific Outstanding Young Researcher Award in 2015, and the 1000 Talents Program of China for Young Professionals in 2016. He currently serves as an Associate Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING and the IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS.