Time: Friday, 26 July 2019, 2:00-3:30 pm
Place: Carleton University, Systems and Computer Engineering
The Maker Lab, 4463 Mackenzie Building, Map.


Speaker: Dr. Sami Muhaidat
Professor, Department of Electrical and Computer Engineering
Khalifa University, UAE

* ABSTRACT: The exponential growth in data traffic, due to the emergence of the Internet of Things (IoT) and the increasing number of connected devices, poses challenging and stringent requirements for the fifth generation (5G) wireless networks and beyond. These requirements include, but not limited to, high spectral and energy efficiency, low latency, and massive connectivity. A particularly interesting proposal was the development of cognitive radio (CR), which was shown to be efficient in maximizing the utilization of the
spectrum due to its inherent spectrum sensing capability. Recently, the integration of RF energy harvesting with CR networks has led to the development of a new communication paradigm, coined as RF-powered CR networks. In these networks, a CR transmitter harvests RF energy when a primary user (PU) is present, which is then used for data transmission during the idle period of the PU. This protocol is referred to as harvest-then-transmit (HTT). A major drawback of HTT-based CR networks is the reduction in the throughput of the
secondary network when the harvested energy is low and/or when the data transmission time is short. Clearly, the performance of such networks greatly depends on the availability of PU signals, which represents a key challenge, particularly, during the long idle periods. On the other hand, ambient Backscatter Communications (AmBC) has emerged as a new communication paradigm with low power and cost requirements. In this talk, we first provide an overview of this promising technology and discuss how AmBC can be integrated with CR
networks in order to overcome the aforementioned limitations. Then, we analyze and evaluate the energy efficiency performance of this new scheme considering spectrum sensing errors under different scenarios.

* BIO: Sami Muhaidat received the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Waterloo, Ontario, in 2006. From 2007 to 2008, he was an NSERC postdoctoral fellow in the Department of Electrical and Computer Engineering, University of Toronto, Canada. From 2008-2012, he was an Assistant Professor in the School of Engineering Science, Simon Fraser University, BC, Canada. He is currently a Full Professor at Khalifa University. Sami’s research focuses on wireless communications,
visible light communications, IoT with emphasis on battery-less devices, and machine learning. Sami is currently an Area Editor for IEEE Transactions on Communications. He served as a Senior Editor for
IEEE Communications Letters, an Editor for IEEE Transactions on Communications, and an Associate Editor for IEEE Transactions on Vehicular Technology. He is also a member of Mohammed Bin Rashid
Academy of scientists.