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Power Control for Energy Harvesting Communications: Be Greedy or Not


Speaker

Jun Chen,McMaster University

Time

2019-06-14 10:00:00 ~ 2019-06-14 12:00:00

Location

Room 1-418A, SEIEE Building

Host

Shuo Shao, Assistant Professor, John Hopcroft Center for Computer Science

Abstract
Optimal power control for energy harvesting communications is a research topic that has received considerable attention in the past few years. In this talk I will present a recent result, which shows that, in the context of online power control, the greedy policy achieves the maximum throughput if the battery capacity is below a certain positive threshold (more generally, the greedy policy is optimal if the energy level of the battery is low). On the other hand, I will show that the greedy policy is strictly suboptimal if the transmitter is able to look ahead to observe a fixed number of future energy arrivals.
Bio

Jun Chen received the B.S. degree in Electronic Engineering from Shanghai Jiao Tong University in 2001, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from Cornell University in 2004 and 2006, respectively. He was a Postdoctoral Research Associate in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign from September 2005 to July 2006, and a Postdoctoral Fellow at the IBM Thomas J. Watson Research Center from July 2006 to August 2007. Since September 2007 he has been with the Department of Electrical and Computer Engineering at McMaster University, where he is currently an Associate Professor. He held the title of the Barber-Gennum Chair in Information Technology from 2008 to 2013 and the Joseph Ip Distinguished Engineering Fellow from 2016 to 2018. He was a recipient of the Josef Raviv Memorial Postdoctoral Fellowship (2006), the Early Researcher Award from the Province of Ontario (2010), and the IBM Faculty Award (2010).  He served as an Associate Editor for the IEEE Transactions on Information Theory from 2014 to 2016.

© John Hopcroft Center for Computer Science, Shanghai Jiao Tong University
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