An improved power control algorithm in cognitive radio system
Aiwei Sun, Hang Zhang · 2012
Power control is an important aspect of cognitive radio resource management, to solve the power control problem of the cognitive radio system and to reduce the interference among the cognitive radio users; this paper applies the non-cooperative game power control algorithm with pricing to the cognitive radio system. The algorithm is distinguished from the previous one for it has a pricing factor in the game theory model. It can restrain cognitive radio users from enlarging his own power infinitely and selfishly, under this model, the algorithm can effectively reduce the transmit power of the cognitive radio users and interference among them. The paper also compares the performance of cognitive radio system using the two different algorithms through matlab simulation; the result shows that the proposed algorithm can gain better performance than the previous ones.