Abstract:
This paper considers a distributed power allocation scheme for sum-rate-maximization under cognitive Gaussian multiple access channels (GMACs), where primary users and se...Show MoreMetadata
Abstract:
This paper considers a distributed power allocation scheme for sum-rate-maximization under cognitive Gaussian multiple access channels (GMACs), where primary users and secondary users may communicate under mutual interference with the Gaussian noise. Formulating the problem as a standard nonconvex quadratically constrained quadratic problem (QCQP) provides a simple distributed method to find a solution using iterative Jacobian method instead of using centralized schemes. Numerical results show that this distributed algorithm for power allocation is converged to a fixed point and the solution achieves almost the same performance of the exhaustive search.
Published in: 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Date of Conference: 26-30 September 2010
Date Added to IEEE Xplore: 17 December 2010
ISBN Information: