摘要
提出了一种基于演化博弈理论的认知网络协作频谱感知方法.对协作频谱感知中次级用户的传输时间和吞吐量进行分析,建立协作感知的博弈模型并研究其动态演化特性,基于次级用户吞吐量最大化准则,得到相应纳什均衡解,在此基础上提出一种次级用户自适应分布式学习算法.理论分析和仿真结果表明,这种协作感知方法在保证检测性能的基础上,有效减少了协作通信开销,提高了次级用户吞吐量.
A new cooperative spectrum sensing scheme in cognitive radio networks based on evolutionary game is proposed to analyze the secondary users＇ transmission time and throughput,model the cooperative sensing as an evolutionary game,derive the dynamic procedure and optimal strategy for the secondary users,and develop a distributed learning algorithm as well.Analysis and simulation show that the proposed scheme guarantees sensing reliability without any performance loss and reduces the communication overhead significantly to achieve high throughput for secondary user in sensing cooperation.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2012年第1期28-31,共4页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金青年科学基金项目(61001115)
国家自然科学基金重点项目(60832009)
北京市自然科学基金项目(4102044)
关键词
认知网络
协作频谱感知
演化博弈
cognitive radio network
cooperative spectrum sensing
evolutionary game
