摘要
基于Goodman提出的非合作博弈功率控制模型改进了代价函数。提出了一种适用于认知无线电系统的功率控制博弈算法,并证明了其纳什均衡的存在性与唯一性。通过仿真表明,该算法同几种经典的分布式算法相比,不但降低了发送功率,提高了用户效用,而且有较好的收敛性能,适用于对时延特性要求较高的认知无线电系统。
Based on the non-cooperative power control game（NPG） proposed by David Goodman.,an improved pricing function is adopted and a power control game algorithm suitable for cognitive radio system is proposed.Then the existence and uniqueness of the Nash equilibrium are proved for the proposed algorithm.The simulation results have shown that,in comparison to several classical distributed algorithms,the proposed algorithm not only reduces the transmit power and improves the user＇s utility but also speeds up the convergence.Therefore it fits well to the cognitive radio system with high demand of time-delay characteristic.
出处
《南京邮电大学学报（自然科学版）》
2010年第5期62-67,82,共7页
Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition
基金
国家高技术研究发展计划(863计划)(2009AA01Z241)
江苏省高校自然科学基金(8KJB510015)资助项目
关键词
认知无线电
非合作博弈
功率控制
cognitive radio
non-cooperative game
power control
