A Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks

摘要：

In cognitive radio networks (CRNs), different received signal-to-noise ratios (SNRs) of secondary users (SUs) lead to different reliability of their local spectrum sensing decisions, and then greatly affect sensing capability of cooperative spectrum sensing. Cooperative spectrum sensing with traditional hard decisions can not improve sensing capability efficiently due to allocating the same weight to SUs decisions. Therefore, a weighted cooperative spectrum sensing (WCSS) is proposed for CRNs to improve sensing capability. It obtains weights of SUs decisions from their average received SNRs, integrates both their independent decisions and weights to fuse data, and makes a final sensing decision. Simulation results show that compared to cooperative spectrum sensing with traditional hard decisions, WCSS performs better at low SNR.

关键词： cognitive radio networks cooperative spectrum sensing weight

作者: Lin Xiao Kai Liu Lin Ma

作者单位: School of Electronics and Information Engineering Beihang University, Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 45-48

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）