认知无线电中快速收敛的功率控制博弈算法

Power control algorithm with faster convergence based on non-cooperative game for cognitive radio networks

针对认知无线电中分布式功率控制算法收敛速度较慢的问题,提出了一种新的非合作博弈模型下的功率控制算法。算法主要通过构造基于信干比(SIR)的正切型代价函数来减少迭代次数,从而提高收敛速度。仿真结果表明,所提算法在满足认知用户信干比要求和主用户干扰温度容限下,与Koskie-Gajic算法和自适应功率控制(CR-NCPCG)算法相比,在收敛速度上有了大幅度的提高,能更好地满足系统实时性要求,并且在用户数小于20时,平均信干比至少提高了0.3 dB,可以实现对认知用户发射功率的有效控制。

Concerning the slow convergence of distributed power control algorithm in cognitive radio,a novel algorithm based on non-cooperative game was proposed for cognitive radio system.A Signal-to-Interference Ratio（SIR）-based tangent cost function of fewer iterations was designed to improve the convergence.The simulation results demonstrate that,compared with the Koskie-Gajic algorithm and the Cognitive Radios-Non-Cooperative Power Control Game（CR-NCPCG） algorithm,the proposed algorithm at the premise of satisfying the secondary users＇ demand for SIR and the primary user＇s interference temperature constraint,not only can fast converge,but also has higher average SIR with at least 0.3 dB when the number of users is less than twenty.It can control the power of secondary users effectively.