An interference avoidance power control algorithm based on game theory

Recently many papers proposed some game model for spectrum leasing in cognitive radio. But some of them just consider that how primary users manage the leasing spectrum, some of them just consider that how the secondary users to do their best to use the spectrum efficiency. So we propose a game model combining the advantages of their model and algorithm. In our model, the primary users manage the leasing spectrum to get the interest and prevent undermining through set their interference cap and leasing price. And the secondary users adjust the interference price so that the network can get the global optimum. The simulation shows that the algorithm has good astringency. The proposed algorithm solve the problems that the secondary users always are the optimum themselves not global optimum.