Dr. Esam Abdel-Raheem
Dr. Esam Abdel-Raheem10 Dec 2015
Esam Abdel-Raheem: received his B.Sc. and M.Sc. degrees from Ain Shams University, Cairo, Egypt, in 1984 and 1989, respectively, and Ph.D. degree from the University of Victoria, Canada in 1995, all in Electrical Engineering. He joined Ain Shams University in 1997 as an Assistant Professor and since 2003; he has been with the ECE Dept. at the University of Windsor, Ontario, Canada where he has been a full professor since 2014. He was an Adjunct Associate Professor at the University of Victoria, BC, Canada from 2003 to 2009. From 1999 to 2001, he was a Senior Design Engineer at AMD in Sunnyvale, California. Dr. Abdel-Raheem’s research fields of interests are in digital signal/image/video processing, signal processing for communications, and VLSI signal processing. He has authored and co-authored more than 80 articles in refereed journal and conference publications, and one published U.S./EU/world patent. He is a senior member of the IEEE and a member of the Association of Professional Engineers of Ontario. He has served as the technical program co-chair for IEEE ISSPIT 2004, 2005 and EIT 2009. He was the general co-chair for IEEE ISSPIT 2007. He served as an Associate Editor for the Canadian Journal of Electrical & Computer Engineering (2006-2010) and for The Journal of Circuits Systems and Signal Processing (2007-2015). He is currently serving as an editorial board member of IET signal processing, and as an Associate Editor for the International Journal of Computing and Digital Systems. He is the guest editor for the special issue on Information Technology and Signal Processing at Computers and Electrical Engineering, Elsevier, and the Technical program chair of IEEE ISSPIT 2015. Dr. Esam Abdel-Raheem is the founder and chair of IEEE Windsor Section
Talk Title: Energy-Efficient Cooperative Spectrum Sensing for Cognitive Radio Networks
Cognitive radio (CR) can dynamically adapt its behavior, through its awareness, to the radio environment and spectrum policy. One of the most critical components of CR technology is spectrum sensing (SS). By sensing and adapting to the environment, a CR is able to fill in spectrum holes and serve secondary users without harmful interference to the primary users (PUs). A compromise between sensing performance and overhead in cluster-based spectrum sensing for cognitive radio networks (CRNs), is still a critical issue. This matter has attracted the attention of many researchers to tackle the trade-off between the performance and overhead. This talk considers energy efficient algorithms to minimize control overhead and provide better detection performance, increase the throughput, and reduce considerably both the overhead and the reporting energy. The talk will also consider algorithms for cooperative SS (CSS) in CRNs to meet PU protection requirements and minimize the total energy consumption. Energy efficient strategies are also considered to minimize the collaborating CRs required for CSS system, increase the energy efficiency and meet the detection requirements.