*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Abstract:
In this presentation, we deal with the performance of a communication network with energy harvesting capabilities. In the first part, we adopt a networking point of view and we deal with time-division multiple access (TDMA) in wireless networks with bursty data traffic and energy harvesting capabilities at the source nodes. Several TDMA-based transmission strategies that incorporate different levels of ``assistance'' for the energy-constrained sources are investigated and analyzed in terms of stable throughput. Specifically, we study the stability region for a TDMA policy with assistance of a) channel state information (CSI) at the sources, b) orthogonal relaying cooperation, c) cognitive radio relaying cooperation and d) full-duplex (FD) relaying cooperation. The second part of this presentation adopts a more PHY-layer view and deals with the radio-frequency (RF) energy harvesting concept. We consider a multiuser multiple-input single-output interference channel where the receivers are characterized by both quality-of-service (QoS) and RF energy harvesting (EH) constraints. We consider the power splitting RF-EH technique where each receiver divides the received signal into two parts a) for information decoding and b) for battery charging. The minimum required power that supports both the QoS and the RF-EH constraints is formulated as an optimization problem that incorporates the transmitted power and the beamforming design at each transmitter as well as the power splitting ratio at each receiver. We consider both the cases of fixed beamforming and when the beamforming design is incorporated into the optimization problem.
Speaker Bio:
Dr. Ioannis Krikidis received the diploma in computer engineering from the Computer Engineering and Informatics Department (CEID) of the University of Patras, Greece, in 2000, and the M.Sc. and Ph.D. degrees from Ecole Nationale Supérieure des Télécommunications (ENST), Paris, France, in 2001 and 2005, respectively, all in electrical engineering. From 2006 to 2007 he worked, as a post-doctoral researcher, with ENST, Paris, France, and from 2007 to 2010 he was a research fellow in the School of Engineering and Electronics at the University of Edinburgh, Edinburgh, UK. He has also held research positions at the Department of Electrical Engineering, University of Notre Dame; the Department of Electrical and Computer Engineering, University of Maryland; the Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg; and the Department of Electrical and Electronic Engineering, Niigata University, Japan.
He is currently an assistant professor at the Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus. His current research interests include information theory, wireless communications, cooperative communications, cognitive radio, and secrecy communications.
