WiSense Seminar #132, Medium Access Control for Dynamic Spectrum Sharing and QoS Provisioning in Cognitive Radio Networks, Le Thanh Tan
Title: Medium Access Control for Dynamic Spectrum Sharing and QoS Provisioning in Cognitive Radio Networks
Location: uOttawa, SITE Building (800 King Edward) Room 5084
Abstract: Efficient design of cognitive MAC (CMAC) protocol for cognitive radio networks (CRNs) imposes many new challenges that are not presented in the conventional wireless networks. Because a CMAC protocol must integrate the spectrum sensing function to identify spectrum holes before sharing the available spectrum through a spectrum access mechanism. In this talk, we aim to design, analyze, and optimize CMAC protocols for CRNs under different practically relevant scenarios. Specifically, the first part is related to the design of synchronous CMAC protocols for the half-duplex CRNs whilst the second part involves the engineering of an asynchronous CMAC protocol to full-duplex CRNs. In the former, we investigate the joint MAC and spectrum sensing design under different settings including parallel and sequential spectrum sensing, energy-detection based and cooperative spectrum sensing. In the later, the full-duplex CMAC protocol is designed for the CRNs where secondary users (SUs) can exploit the full-duplex radios to perform sensing and access simultaneously. Therefore, SUs are able to timely detect the primary users’ random reactivation during SUs’ transmissions.
Biography: Le Thanh Tan received the B.Eng. and M.Eng. Degrees from Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam, in 2002 and 2004, respectively. He is currently a Ph.D candidate in the Institut National de la Recherche Scientifique-Énergie, Matériaux et Télécommunications, at the Université du Québec. From 2002 to 2010, he was a Lecturer with Ho Chi Minh City University of Technical Education. His research activities include internet of things, time series analysis and dynamic factor models, wireless communications and networking, cognitive radios, statistical signal processing, random matrix theory, compressed sensing, and compressed sampling.