认知无线电网络中基于节点过滤的协同频谱感知算法

Fang Ye, Hui Zhang, Xun Zhang, Yuan Tian
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引用次数: 2

摘要

认知无线电协同频谱感知的感知结果在很大程度上取决于局部检测的可靠性,而二次用户之间信噪比的差异导致了局部感知的可靠性差异。提出了一种新的基于节点过滤的协同频谱感知算法(NF-CSS),通过减少节点数量来避免低信噪比节点参与协同。仿真结果表明,该算法消除了低信噪比节点的影响,有效提高了系统在信噪比分布不均匀情况下的感知性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative Spectrum Sensing Algorithm Based on Node Filtrating in Cognitive Radio Networks
The sensing result of cooperative spectrum sensing in cognitive radio significantly depends on the reliability of local detection, and signal-to-noise ratio (SNR) difference among secondary users leads to disparate reliability in local sensing. A novel cooperative spectrum sensing algorithm based on node filtrating (NF-CSS) is proposed in this paper, avoiding low SNR nodes being involved in the collaboration by decreasing the number of nodes. Simulation results showed the algorithm eliminates the influence of low SNR nodes and effectively improves system sensing performance under uneven distribution of SNRs.
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