Hybrid Precoding for Millimeter Wave MIMO Systems-2017年5月5日下午2:00-无线谷1号楼1319会议室
发布人: 王瀚颖   发布时间: 2017-05-05    浏览次数:



报告1Hybrid Precoding for Millimeter Wave MIMO Systems: Algorithm Design and Hardware Implementation

报告人:Dr. Jun Zhang (香港科技大学)


AbstractMillimeter wave (mm-wave) communication is becoming synonymous with 5G, thanks to its great potential to meet the major requirements of next-generation cellular networks. Large-scale antenna arrays are needed to fully exploit the performance gains of mm-wave communications, which, however, brings formidable challenges to algorithm design and hardware implementation. Hybrid precoding was recently proposed as a cost-effective transceiver solution for mm-wave systems, which only requires a small number of RF chains. In this talk, we will introduce a few new proposals on the practical implementation of hybrid precoding, along with efficient algorithms. These results will provide important design guidelines and shed light on some key questions: Can hybrid precoding approach the performance of fully digital precoding? How many RF chains and phase shifters are needed? How to effectively design hybrid precoding algorithms?



Dr. Jun Zhang received the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is currently a Research Assistant Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST). His current research interests include dense wireless cooperative networks, mobile edge caching and computing, cloud computing, and big data analytics systems. Dr. Zhang co-authored the book Fundamentals of LTE (Prentice-Hall, 2010). He is a recipient of the 2016 Marconi Prize Paper Award in Wireless Communications, the 2016 Young Author Best Paper Awards by the IEEE Signal Processing Society (co-author), the 2014 Best Paper Award for the EURASIP Journal on Advances in Signal Processing, an IEEE ICC Best Paper Award in 2016, and an IEEE PIMRC Best Paper Award in 2014. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Editor of IEEE Transactions on Wireless Communications, and is a guest editor of the special section on Mobile Edge Computing for Wireless Networks in IEEE Access. He frequently serves on the technical program committees of major IEEE conferences in wireless communications, such as ICC, Globecom, WCNC, VTC, etc., and served as a MAC track co-chair for IEEE WCNC 2011.


报告2Analysis and Optimization of Partition-based Caching in Large-Scale SIC-Enabled Wireless Networks

报告人: Dr. Ying Cui(上海交通大学)


AbstractExisting designs for content dissemination do not fully explore and exploit potential caching and computation capabilities in advanced wireless networks. In this talk, I will present two partition-based caching designs, i.e., a coded caching design based on Random Linear Network Coding and an uncoded caching design. I will focus on the analysis and optimization of the two caching designs in a large-scale successive interference cancelation (SIC)-enabled wireless network. First, under each caching design, by utilizing tools from stochastic geometry, I will present a tractable expression for the successful transmission probability in the general file size regime. I will also show closed-form expressions in the small and large file size regimes, respectively. Then, under each caching design, I will introduce the successful transmission probability maximization problem in the general file size regime, which is an NP-hard problem. By exploring structural properties, I will present a near optimal solution with 1/2 approximation guarantee and polynomial complexity. I will also present closed-form asymptotically optimal solutions. The analysis and optimization results show the advantage of the coded caching design over the uncoded caching design, and reveal the impact of caching and SIC capabilities. Finally, I will numerically show that the two proposed caching designs achieve significant performance gains over some baseline caching designs.




Dr. Ying Cui received her B.E. degree in Electronic and Information Engineering from Xi’an Jiao Tong University, China, in 2007 and her Ph.D. degree in Electronic and Computer Engineering from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 2011. From January 2011 to July 2011, she was a Visiting Assistant in Research in the Department of Electrical Engineering at Yale University, US. From March 2012 to June 2012, she was a Visiting Scholar in the Department of Electronic Engineering at Macquarie University, Australia. From June 2012 to June 2013, she was a Postdoctoral Research Associate in the Department of Electrical and Computer Engineering at Northeastern University, US. From July 2013 to December 2014, she was a Postdoctoral Research Associate in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology (MIT), US. Since January 2015, she has been an Associate Professor in the Department of Electronic Engineering at Shanghai Jiao Tong University, China. Her current research interests include cache-enabled wireless networks, future Internet architecture, delay-sensitive cross-layer control and network coding. She was selected into China’s 1000Plan Program for Young Talents in 2013. She received the Best Paper Award at IEEE ICC, London, UK, June 2015.