认知无线电中自适应分步合并协作频谱感知算法

在等增益合并协作频谱感知基础上,提出了一种新的频谱感知算法.根据认知用户接收信噪比的变化,通过自动调整参与协作频谱感知的认知用户数,以减少认知无线电网络中的数据开销.推导了瑞利衰落信道下采用此算法时,认知用户通过控制信道发送到中心控制器的平均数据量的计算公式.理论分析和仿真结果表明,和等增益合并协作频谱感知算法相比,在保证频谱检测性能的前提下,该算法减少了认知用户通过控制信道到中心控制器的平均数据开销.

Adaptive step by step combination cooperative spectrum sensing in cognitive radio systems

Based on equal gain combination cooperative spectrum sensing, an adaptive step by step combination cooperative spectrum sensing in cognitive radio (CR) network is proposed. With the change of the Signal-to-Noise Ratio received by CR users, this algorithm can adjust automatically the number of CR users which participate in cooperative spectrum sensing in order to decrease the data overhead produced by spectrum sensing in the cognitive radio network. The formula for computing the average data magnitude from the CR users to the central controller over Rayleigh channels is acquired. Theoretical analysis and simulation results show that the method reduces the average data overhead from the CR users to the central controller under the same detection performance compared with the conventional equal gain combination cooperative spectrum sensing.