基于信任度的双门限协作频谱感知算法

Double-threshold cooperative spectrum sensing for cognitive radio based on trust

提出了一种兼顾认知无线电系统可靠性和低负载的基于信任度的双门限协作频谱检测算法.系统首先使满足双门限要求的认知节点参与协作感知,当满足双门限要求的认知节点数目不足时,增加满足信任度参数要求的认知节点参与协作感知.融合中心存储了认知节点的检测记录,并以此为局部检测结果设置融合权重.理论分析和仿真结果表明,该算法所需传输的感知参数减少了,占用的信道带宽降低.同时,由于不可靠用户的减少,算法的检测性能进一步提高了.此外,算法通过调整参数nt使系统适应于不同类型的无线业务,具有一定的灵活性.

This paper presents a double-threshold cooperative spectrum sensing algorithm which is based on trust and satisfies both reliability and efficiency. The cognitive nodes that satisfy the request of double-threshold have the priority to participate in cooperative sensing and that satisfy the requirement of trust parameters may participate in cooperative sensing if only the number of the former is smaller than a preset value. The fusion center stores the sensing record of each cognitive node and sets the fusion weights according to the partial detected results. Theoretical analysis and simulation show that the bandwidth required for transmitting the sensing parameters decreases, and the detection performance improves because the unreliable users are reduced. Additionally, the algorithm can be made to adapt to different wireless service by adjusting the parameter nt.