北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (2): 71-75.doi: 10.13190/jbupt.201102.71.yanq

• 论文 • 上一篇    下一篇

认知无线电网络中安全的合作频谱感知

闫琦,杨家玮,张雯   

  1. 西安电子科技大学 综合业务网理论及关键技术国家重点实验室, 西安 710071
  • 收稿日期:2010-02-04 修回日期:2010-12-29 出版日期:2011-04-30 发布日期:2011-04-28
  • 通讯作者: 闫琦 E-mail:qyan@pcn.xidian.edu.cn
  • 基金资助:

    国家重点基础研究发展计划项目(2009CB320404);国家自然科学基金项目(60902032,60902033);国家重点实验室专项基金项目(ISN02080001);中央高校基本科研业务费专项基金项目(K50510010022)

The Sensing of the Secure Cooperative  Spectrum in Cognitive Radio Networks

  • Received:2010-02-04 Revised:2010-12-29 Online:2011-04-30 Published:2011-04-28

摘要:

在建立认知无线电网络威胁模型的基础上,分析了恶意攻击下传统合作频谱感知算法性能的下降程度. 为了对抗恶意用户对频谱感知协议的攻击,提出了一种基于信誉的加权合作频谱感知算法. 该算法根据每个认知用户的历史行为更新其信誉值,再利用信誉值为每个认知用户分配加权因子,最后进行加权融合及判决. 仿真结果表明,在威胁环境下新算法优于传统合作频谱感知算法.

关键词: 认知无线电, 频谱感知, 威胁模型, 加权融合

Abstract:

Based on the established threat model in cognitive radio networks, the performance loss of conventional cooperative spectrum sensing scheme under malicious attacks is figured out. And a weighted cooperative spectrum sensing algorithm is proposed based on the cognitive radio’s (CRs’) reputation. The reputation values are updated according to the behavior history of CRs, the weighted factors are derived from reputation values, and the final result is made by weighted fusion as well. Simulations show that the new method outperforms the conventional cooperative spectrum sensing algorithms under threat environment.

Key words: cognitive radio, spectrum sensing, threat model, weighted fusion