摘要
为解决认知无线电(CR)系统中认知用户对主用户的干扰及系统功率控制问题,在介绍认知无线电原理及其基本在线认知任务循环框图的基础上,将David Goodman等人提出的基于非合作带竞价博弈的功率控制算法应用到认知无线电系统中。与传统的功率控制算法相比,该算法不仅降低了认知无线电系统中认知用户的发射功率,而且降低了认知用户之间的干扰,提高了系统的整体性能。最后通过MATLAB仿真分析比较了带价格因子和不带价格因子两种情况下的性能。
To reduce the interference among the users and to solve the power control problem of the cognitive radio （CR） system, this paper applies the non-cooperative game algorithm with pricing to the cognitive radio system. The algorithm is distinguished from the previous one for it has a pricing factor. Under this model, the algorithm can effectively reduce the transmit power of the cognitive radio users and interference among them. The paper also compares the performance of cognitive radio system using the two different algorithms through MATLAB simulation.
出处
《系统仿真技术》
2012年第4期266-270,286,共6页
System Simulation Technology
基金
"九七三"国家重点基础研究发展计划资助项目(2009CB)
国家自然科学基金资助项目(61001106)
