Distributed joint diversity and power control for wireless networks

A distributed algorithm that uses the MVDR (minimum variance distortionless response) combiner and the local information to adjust the power and weight (combining weight) is proposed for joint diversity and power control in wireless networks. The proposed algorithm limits the power according to a constraint and has the property that if the SINR (signal to interference and noise ratio) requirement is achieved, then the condition of this achievement will hold after every discrete time. We prove that the power and weight of the proposed algorithm converge to the optimal feasible power and weight that minimize the total power consumption. Simulation results also show that the MVDR combiner gets lower average power level per user and higher probability of success in meeting the SINR requirement than other combiners.