基于频谱感知结果的认知无线电用户分簇方法  

Clustering Method for Cognitive Radio User Based on the Results of Spectrum Sensing

作　　者：孙剑锋[1] 高锦春[1] 刘元安[1] 谢刚[1] 

机构地区：[1]北京邮电大学泛网无线通信教育部重点实验室,北京100876

出　　处：《电子与信息学报》2012年第4期782-786,共5页Journal of Electronics & Information Technology

基　　金：中加国际科学与技术合作项目(2010DFA11320);国家自然科学基金(60802033;60873190);国家863计划项目(2008AA01Z211);中央高校基本科研业务费专项资金(2009RC0308;G470209);国家科技重大专项(2010ZX03005-001-03;2010ZX03007-003-04)资助课题

摘　　要：认知无线电用户的分簇由于不同位置频谱环境的巨大差异而成为亟待解决的问题之一。该文分析了认知无线电用户频谱感知结果之间相关性,基于分析结论提出一种基于频谱感知结果相关性的分簇算法,并考察了频谱感知结果量化对该算法的性能影响,得出增加频段数量的方式能够部分补偿量化带来的性能损失的结论。仿真显示,该文的分簇算法能够有效地对认知无线电用户进行分簇,在频谱感知结果量化的条件下,也能达到较好的分簇性能。从可靠性、准确性和自适应能力等方面,相较传统基于地理位置的分簇方法,该文所提出的分簇算法能综合考虑频谱环境的特点,更加具实用价值。User clustering is one of the most important problems because of the difference of the frequency spectrum utilization situation from cognitive users.This paper gives the analysis result of correlation between cognitive radio users and also proposes the clustering algorithm based on this analysis.Considering the real situation,the effects of data quantization are derived and the derivation shows the performance loss could be compensated partly through the increase the number of spectrum bands.Finally,the simulation shows the proposal could perform well whether the data quantization is adopted or not.From the aspect of reliability,accuracy and adaptability,the proposed algorithm,which gives a comprehensive consideration of the spectrum environment and other factors,is more practical than the traditional clustering algorithm based on the geographic location.

关 键 词：认知无线电 频谱感知 分簇 相关性 

分 类 号：TN929.5[电子电信—通信与信息系统]