2009 Poster Sessions : Achievable Rate Regions for Broadcast Channels With Cognitive Radios

Student Name : Jinhua Jiang
Advisor : Andrea Goldsmith
Research Areas: Information Systems
The demand for high speed wireless applications has made efficient spectrum utilization critical for next-generation systems. Cognitive radio has emerged as a promising candidate to significantly improve spectrum utilization over existing technologies. In this work we investigate the fundamental limits of broadcast channels with cognitive radios. Specifically, we develop a new coding strategy and associated achievable rate regions for the broadcast channel with two receivers and two additional cognitive relays. Our strategy generalizes existing schemes and results in higher achievable rates. We also consider a simplified model where there is only one cognitive relay. In this simplified scenario we develop a new coding strategy which generalizes existing results and the corresponding achievable rate region. Our results are applicable to both ad-hoc networks and cellular networks where cognitive radios can be deployed to increase spectrum efficiency and overall system performance.

Jinhua Jiang received the B.Eng. (Computer Engineering) degree and Ph.D. degree in Electrical and Computer Engineering from the Department of Electrical & Computer Engineering, National University of Singapore, Singapore, in 2004 and 2008, respectively. He is currently a postdoctoral scholar with the Wireless Systems Lab, Department of Electrical Engineering, Stanford University.