Opportunistic Scheduling with Reliability Guarantees in Cognitive Radio Networks

Speaker: Rahul UrgaonkarAbstract: We consider a cognitive radio network with static primary users (that are the licensed owners of the spectrum) and potentially mobile secondary users that try to send their data to the access points by utilizing idle primary channels. We develop opportunistic transmission scheduling policies for such networks that maximize the throughput utility of the secondary users subject to maximum collision constraints with the primary users. We use the technique of Lyapunov Optimization to design an online flow control, scheduling and resource allocation algorithm that meets the desired objectives and provides explicit performance guarantees. Specifically, our algorithm provides tight reliability guarantees in the form of a bound on the worst case number of collisions suffered by a primary user in any time interval. This algorithm operates without requiring a-priori knowledge of the mobility patterns of the secondary users and yields an average throughput utility that can be pushed arbitrarily close to the optimal value, with a trade-off in average delay.Bio: Rahul Urgaonkar obtained the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology (IIT) Bombay in 2002 and the M.S. degree in Electrical Engineering from the University of Southern California, Los Angeles in 2005. He is currently a PhD student in Electrical Engineering at USC. His research interests are in the areas of stochastic network optimization, resource allocation, and scheduling in next generation Wireless Networks.

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Gerrielyn Ramos