摘要
认知无线电网络中,认知用户在满足目标信干比前提下,为降低每个认知用户的发送功率,可采用非合作博弈的方法。通过对功率控制的K-G算法进行改进,提出了一种基于综合代价函数的功率控制博弈(KG-CP)算法,实现了认知用户发送功率的非合作博弈控制,并证明了KG-CP算法效用函数纳什均衡解的存在性和唯一性。仿真结果表明,与经典的SINR平衡算法及K-G算法相比,该算法能够明显降低认知用户的发送功率。最后,比较并分析了不同用户数目及不同调整因子下新算法的性能表现。
In cognitive radio networks, under the premise of cognitive users satisfying the target SINR, in order to reduce each user＇ s transmit power, non-cooperative game can be used. In this paper, by improving the K-G algorithm of power control, an power control game algorithm based on the comprehensive cost function is proposed,and the new algorithm realizes non-cooperative game control of cognitive users＇ transmit power. Then the existence and uniqueness of the Nash equilibrium solution of the utility function are proved for the proposed KG-CP algorithm. The simulation results have shown that, compared with the classical SINR balancing algorithm and the K -G algorithm, the proposed algorithm can significantly reduce cognitive users＇ transmit power. And then compare and analyze the per- formance of the new algorithm under different numbers of users and different adjustment factors.
出处
《计算机技术与发展》
2013年第2期101-104,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(61001077)
江苏省青蓝工程资助项目
