Efficient power allocation schemes for nonconvex sum-rate maximization on Gaussian cognitive MAC

Authors:
Sang-Wook Han;Hoon Kim;Youngnam Han;John M. Cioffi
Affiliations:
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, Canada;Department of Electronics Engineering, The University of Incheon, Incheon, Korea;Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejon, Korea;Department of Electrical Engineering, Stanford University, Stanford, CA
Venue:
IEEE Transactions on Communications
Year:
2010

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Abstract

This letter considers a sum-rate-maximizing power allocation problem under the Gaussian cognitive multiple-access channel (MAC), where primary users and secondary users may communicate under mutual interference. Formulating the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple method to find a solution using semidefinite relaxation (SDR). Simulation results show that the solution achieves almost the same performance of the exhaustive search, within polynomial time.