一种优化的认知无线电网络分簇协作频谱感知算法

An optimization spectrum sensing algorithm of clustering cooperative in cognitive radio

目前对于认知无线电分簇协作频谱感知算法的研究,大都认为每个簇均等地参与协作.没有考虑簇所经历的不同衰落对判决结果的影响.为有效解决这一问题,提出一种优化的认知无线电网络分簇协作频谱感知算法.该算法采用能量节省的分簇感知机制,充分考虑路径损耗与衰落对检测性能的影响.在满足虚警率和检测率的前提下,此方案不仅算法实现简单,而且在分簇结果上可以显著提高系统的稳定性,因此在信道环境复杂的情况下能有效提高频谱感知效率.

Most of the studies on cognitive radio cooperative spectrum sensing algorithm using clustering thought each cluster participated collaboration equally, without considering the impact of different declines which clusters experienced to the spectrum sensing algorithm verdict.To address this issue effectively, basing on clustering optimization cooperative was proposed.The algorithm used energy saving cluster sense mechanism,fully consid- ered the path loss and fading on the detection performance.Under the premise of meeting false alarm and detection rate, this scheme is not only simple in algorithm, but the stability of the system can be significantly improved by the results of the clustering. Therefore, it can effectively improve the spectrum sensing efficiency in the case of the complex channel environment.