An Efficient and Unbiased Power Control Algorithm Based on Game Theory in Cognitive Radio

Based on the non-cooperative power control game theory, we propose an efficient and unbiased power control algorithm in cognitive radio network (CRN) by improving the utility function. Without causing interference to the primary users (PUs), this effective utility function balances the fairness and system throughput of secondary users (SUs) via a fair pricing function. The pricing punishment parameter setting depends on the quality of received signal to guarantee the quality of service (QoS) requirement of the SUs. In addition, we prove that the proposed game model has ‘Nash equilibrium point (NE)’ by supermodular game theory and we give the iterative algorithm for the proposed game to attain the optimal power for all SUs. Simulation results show that the proposed game not only enhances the system throughput, reduces transmission power of SUs, and maximizes the global utility, but also takes the system fairness into account to some extent, which differs from other previous schemes.