ITR: Computationally Efficient Methods for Power Control in Wireless Systems

University Of Texas At San Antonio, San Antonio TX

Investigators

Abstract

This research deals with improving the computational efficiency of existing power control algorithms for wireless systems, as well as developing new computationally efficient algorithms. Power control helps minimize transmitted power, and is important as it enhances battery life for mobile terminals and extends the life of the wireless network. In a multiuser environment power control contributes also to minimizing interference and increasing system capacity. The investigators study the use of iterative methods for improving the computational efficiency of existing power control algorithms, with emphasis on game theoretic approaches. At the physical layer power control is combined with codeword adaptation and new algorithms for joint codeword optimization and power control are developed in which target signal-to-interference ratios (SIRs) are achieved with minimum transmitted power by decreasing effective interference through codeword adaptation. Codeword adaptation is based on greedy interference avoidance methods which are also investigated from a game theoretic perspective.