广西师范大学学报（自然科学版） ›› 2013, Vol. 31 ›› Issue (3): 169-176.

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分簇频谱检测报告信道的信噪比墙及性能分析

宋婷, 谢显中, 胡小峰   

  1. 重庆邮电大学移动通信技术重庆市重点实验室,重庆400065
  • 收稿日期:2013-03-26 出版日期:2013-09-20 发布日期:2018-11-26
  • 通讯作者: 谢显中(1966—),男,四川通江人,重庆邮电大学教授,博士。E-mail:xiexianzhong.cn@gmail.com
  • 基金资助:
    国家自然科学基金资助项目(61271259);重庆市自然科学基金资助项目(CTSC2011jjA40006);重庆市教委科学技术研究项目(KJ120501,KJ120502,KJ110529)

SNR Wall of Reporting Channel for Cluster-based Spectrum Sensing and Its Performance Analysis

SONG Ting, XIE Xian-zhong, HU Xiao-feng   

  1. Institute of Personal Communications,Chongqing University of Posts and Telecommunications, Chongqing 400065,China
  • Received:2013-03-26 Online:2013-09-20 Published:2018-11-26

摘要： 分簇算法是感知无线电频谱检测的重要方案,它包括次级用户到簇头和簇头到融合中心2种报告信道,本文研究这2种报告信道不理想时对系统检测性能的限制。针对目前“误比特率墙”的问题,本文提出“信噪比墙”的指标。首先推导在监听信道不同信噪比和2种报告信道都不理想的情况下,系统检测概率和虚警概率的通式;然后得出报告信道上信噪比墙的存在,并分析在不同信道分布和不同调制方式下,2种报告信道的信噪比墙对系统整体检测性能的影响。仿真结果显示,理论值与仿真结果吻合,所得结论对分簇算法的设计和实际应用具有重要的意义。

关键词: 感知无线电, 分簇算法, 报告信道, 误比特概率, 信噪比墙

Abstract: Clustering is an important technique in cognitive radio networks.There are two reporting channels in the cluster:the channel between the secondary users and the cluster head,and the channel between the cluster head and the fusion center.This research is about the performance limitation when these two reporting channels are not ideal.Under the phenomenon of “BEP Wall”,this paper puts forward the index of “SNR Wall”.First of all,closed-form expressions for the global probabilities of detection and false alarm are derived for non identical SNR on the listening channels and non ideal reporting channels.Then the existence of SNR wall is shown.Moreover,the effect of SNR wall of the system is analyzed under different channel distributions and different modulations.It is shown that the simulated SNR wall values are very close to that of the theoretical one.The conclusions is of great value for the design of clustering algorithm.

Key words: cognitive radio, cluster-based spectrum sensing, reporting channels, bit error probability, SNR Wall

中图分类号: 

  • TN929.5
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[1] 万火, 谢显中, 马彬, 高川. 基于历史信息的局部最大权独立集感知无线电频谱分配算法[J]. 广西师范大学学报（自然科学版）, 2012, 30(4): 36-41.
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