基于中继选择的协作频谱感知算法

针对最佳中继选择协作频谱感知方案检测概率低、而所有中继节点均参与协作频谱感知复杂度高的问题,提出一种中继选择协作感知算法.该算法根据N条中继链路等效信噪比的大小,从中选择出L个信噪比大的优质中继用户转发主用户信息.导出了该算法在瑞利平坦衰落下的频谱检测概率上限闭合表达式,为频谱检测性能分析提供了理论依据.数值分析结果表明：只需60%左右的优质链路参加中继就可以达到理想的性能,大大降低了系统实现的复杂性.

Cooperative Spectrum Sensing Algorithm Based on Relay Selection

To enhance the detection probability of algorithm based on the best relay selection,and to reduce the complexity of algorithm which all the relay nodes participate in cooperation,a cooperative spectrum sensing algorithm based on relay selection is proposed.The algorithm selects L finer relay nodes to retransmit the primary user signal to the cognitive user from the N relay nodes according to the equivalent signal to noise ratios of links.And,the closed-form expression of the upper bound for the detection probability is derived in Rayleigh fading channels.It provides the theoretical basis for the analysis of spectrum sensing.Numerical results demonstrate that it only needs about 60% finer relay links to achieve perfect performance which reduces the complexity much.