认知无线网络中一种非合作博弈功率控制算法

针对现有的功率控制算法中存在的干扰问题和功率消耗过大问题，设计出一种新的效用函数，并根据此效用函数提出了一个基于非合作博弈的新的功率控制算法。首先，在效用函数中分别为信干噪比和功率设定了不同的代价因子，并将信道状态概念引入到代价因子里面，使其能够更加合理地控制用户，避免用户过度增加发射功率，同时减小了用户间的干扰；其次，证明了该算法纳什均衡的存在性和唯一性；最后，给出了所提算法的流程图。仿真结果表明，与Nash算法相比，在保证非授权用户服务质量( QoS)前提下，该算法功率消耗明显降低，并且具有较好的抗背景噪声性能；与K-G( Koskie-Gajic)算法相比，该算法保证了所有的用户的信干噪比满足上下限阈值要求，并且提高了系统容量。

A power control algorithm based on non-cooperative game theory for cognitive radio networks

To deal with the problems of interference and large power-consumption in the existing power control algorithms,a new utility function is proposed and then a novel power control algorithm based on non-cooperative game theory is deduced. Firstly, the cost factors for signal-to-interference-noise ratio ( SINR) and power are set respectively,and channel status is introduced into the cost factors so as to con-trol transmission power reasonably and reduce the interference among users. Then, the existence and u-niqueness of the Nash Equilibrium( NE) in the utility function are proved. Finally,the flowchart of the pro-posed algorithm is presented. Simulation results show that,compared with Nash algorithm,the proposed one can reduce the power consumption effectively and achieve better anti-noise effect;compared with Koskie-Gajic(K-G)algorithm,the proposed one ensures the user's SINR to meet the required threshold value and improves the total throughput.