Power Control Algorithm Based on SNR Cost Function in Cognitive Radio System

The power control problem in the cognitive radio system is studied in this paper with game theory. A cost function based on fairness is designed, a power control algorithm based on SNR cost function is proposed, and a Non-cooperative Power control Game via Fairness Pricing(NPGFP) algorithm is developed. The algorithm proposed in this paper-NPGFP algorithm uses the complete information game method to make each cognitive user dynamically adjust its power parameters by detecting the power and location parameters of other cognitive users and the primary users. The algorithm ensures the system convergence stability and the benefit maximization of each cognitive user by making the transmit power to reach a steady state with iteration. By simulation in three different scenes it is shown that NPGFP algorithm is better than NPGP(Non-cooperative Power control Game model based on Pricing) algorithm in throughput, SNR, cost function of the cognitive user and the stability of the algorithm convergence.