Game theoretic analysis of joint rate and power control in cognitive radio networks

Link adaptation is an important issue in the design of cognitive radio networks, which aims at making efficient use of system resources. In this paper, we present a new method to solve the problem of joint rate and power control in cognitive radio networks by using game theory. The optimum rates and powers are obtained by iteratively maximizing each linkpsilas utility function. Simulation results are presented to confirm the effectiveness of the proposed algorithm.