Traffic-Aware Multi-Channel Multi-Stage Spectrum Sensing Protocols for Dynamic Spectrum Access
Aug 07, 2012
from 10:00 AM to 12:00 PM
|Where||ENGR. IV Bldg. Faraday Rm. 67-124|
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Advisor: Professor Danijela Cabric
The increased demand for wireless connectivity is leading to radio spectrum scarcity. Cognitive radio (CR) networks aim at improving spectral utilization by scavenging licensed spectrum that is not actively used by the licensed primary users (PUs). CRs search for licensed spectral vacancies by sensing the spectrum and access these vacancies following resource-constrained Medium Access Control (MAC) protocols.
In this talk, we present an analytical framework for evaluating the throughput, collisions, and power consumption of multi-channel multi-stage CR MAC protocols. We discuss the variation of protocol performance with PU and CR traffics, sensing techniques, and sensing radio configurations. Furthermore, we show that the performance of CR MAC protocols can be improved by exploiting the PU traffic statistics. Moreover, we derive the Cramér-Rao bounds on the estimation error of exponentially distributed idle/busy PU traffic. We also analyze the traffic parameter estimation errors for different estimators considering spectrum sensing errors. The presented error expressions serve as guidelines for designing delay-constrained and energy-constrained CR MAC protocols that rely on PU traffic parameters estimates.
Wesam Gabran received the B.Sc. and M.Sc. degrees in Electronics and Communications Engineering from Cairo University, Egypt, in 2005 and 2007, respectively. He is currently a Ph.D. candidate in the Electrical Engineering Department at UCLA. He also joined Broadcom Corporation in 2010 where he is working on power aware baseband design for wireless communication systems. His research interests include cross-layer analysis of wireless communication networks.