Speaker: Dr. Sameh Sorour
Faculty host: Professor Ramesh Karri
Ubiquitous, reliable and fast wireless connectivity is no longer a luxury, given the growing reliance of all-day human activities on communications and networking. With more users viewing, downloading, streaming and uploading large volumes of content, application and
services over the air, the need for striking improvements in the utilization efficiency of the scarce wireless bandwidth becomes an indispensable requisite for the success of future wireless networks.
Instantly decodable network coding (IDNC) emerges as one of these promising advancements to improve the bandwidth efficiency of packet recovery in wireless multicast communications. Despite its guaranteed superior performance over conventional ARQ schemes, achieving the maximum bandwidth efficiency of IDNC is a very complex problem. In the first part of this talk, I will present my formulation and analysis of this problem, and illustrate my proposed near-optimal solutions for it. Another challenge in IDNC is its need for prompt and accurate status feedback from all the receivers, which may be prohibitive in
several network settings. The second part of the talk will portray my design of blind extensions to the proposed IDNC solutions, in order to operate in lossy and intermittent feedback scenarios.
About the Speaker
Sameh Sorour received the B.Sc. and M.Sc. degrees in electrical engineering from Alexandria University, Alexandria, Egypt, in 2002 and 2006, re- spectively, and the Ph.D. degree from the University of Toronto, Toronto, ON, Canada.
In 2002, he was with the Department of Electrical Engineering, Alexandria University, where he was a Teaching and Research Assistant for three years and was promoted to Assistant Lecturer in 2006. He is also served as the Chair of local arrangements for IEEE PIMRC 2011. He is currently a Postdoctoral Fellow with the University of Toronto. His research interests include opportunistic, random, and instantly decodable network coding applications in wireless networks, vehicular and high speed train networks, indoor localization, adaptive resource allocation, OFDMA, and wireless scheduling.