Topic： Wireless Information and Power Transfer: A Unified Study
Time： 2012年8月20日（周一）上午10:30-11:45
Venue： 信电大楼215学术厅
Speaker：Assistant Professor Rui Zhang, National University of Singapore
Biography
Rui Zhang received the B.Eng. (First-Class Hons.) and M.Eng. degrees from the National University of Singapore in 2000 and 2001, respectively, and the Ph.D. degree from the Stanford University, Stanford, CA USA, in 2007, all in electrical engineering.
Since 2007, he has worked with the Institute for Infocomm Research, A-STAR, Singapore, where he is now a Senior Research Scientist. Since 2010, he has joined the Department of Electrical and Computer Engineering at the National University of Singapore as an assistant professor. He has authored/coauthored over 120 internationally refereed journal and conference papers. His current research interests include multiuser MIMO, cognitive radio, cooperative communication, energy efficient and energy harvesting wireless communication, wireless information and power transfer, smart grid, and optimization theory.
Dr. Zhang was the co-recipient of the Best Paper Award from the IEEE PIMRC in 2005. He was the recipient of the 6th IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2010, and the Young Investigator Award of the National University of Singapore in 2011. He is now an elected member of IEEE Signal Processing Society SPCOM Technical Committee.
Abstract
Simultaneous information and power transfer over wireless channels potentially offers great convenience to mobile users. Yet practical receiver designs impose technical constraints on its hardware realization, as practical circuits for harvesting energy from radio signals are not yet able to decode the carried information directly. To make theoretical progress, in this talk we highlight key challenges in realizing high-efficiency wireless information and power transfer, for which we present novel solutions including energy/information beamforming, dynamic time switching/power splitting, and integrated information-energy receivers. The optimal tradeoff between information and energy transfer is characterized under a new framework so-called “rate-energy” region, which extends the conventional capacity or capacity region for information transfer only. Future directions for this exciting new area of research will also be discussed.