Speaker: Jun Zhang

Time and Date: 10:00-11:00 am, October 27, 2017

Place: Room B415 of Computing Center Building, Handan Campus, Fudan University

Abstract:

Millimeter 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. Special attention will be paid on the three practically important aspects: hardware efficiency, algorithm complexity, and spectral efficiency.

Biography:

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 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 a guest editor of the special section on "Mobile Edge Computing for Wireless Networks" in IEEE Access.