一种基于流水线架构的协作式频谱感知方法

协作式频谱感知在提高认知无线电网络频谱感知性能的同时,也带来额外的通信开销.针对此问题,提出了一种基于流水线架构的协作式频谱感知方法,并给出了与之相配合的快速数据融合算法.该方法采用流水线架构来调度各参与感知节点的频谱测量操作和结果回传操作,使得用于感知结果回传的时间开销也可用于频谱测量,从而拓宽了频谱测量的时间窗口.快速数据融合算法通过多线程序贯似然比检测技术消除了在检测过程中由于频谱状态变化而产生的不良影响,进一步提高了协作感知效率.

Pipelined Cooperative Spectrum Sensing Method in Cognitive Radio Networks

It has been shown that cooperation can improve the performance of spectrum sensing effectively. However,Cooperation also introduces additional overheads. To deal with this problem, we proposed a pipelined spectrum sensing framework, in which secondary users conduct spectrum sensing and results reporting in a pipehned way, and the time consumed by reporting can be also utilized for sensing, resulting in an improvemented of time efficiency and a much wider observing window for spectrum sensing. Besides,we also presented a multi-threaded sectuential probability ratio test method (MhSPRh) , which is very suitable for the pipelined framework as the data fusion technique. Simulation results indicate that our pipelined sensing scheme incorporating with MhSPRh can significantly improve the performance of cooperatme spectrum sensing.