Transmit power optimization in Cognitive Radio Networks using game theoretic approach

Cognitive Radio Networks appear as a probable solution for spectrum scarcity. However, establishing a balance between transmit power and interference in cognitive radio network is a challenging issue. In this paper, power allocation problem in cognitive radio is considered. Based on game theory, we modeled the problem into a repeated game with the purpose to minimize the total interference to the licensed user. Each secondary user choose their transmit power which consider both the interference to the primary user as well as to other secondary users. Simulation results for the repeated game are presented.