最优认知用户配对与协作感知算法研究

针对协作算法频谱感知和时隙消耗方面的不足,提出一种最优用户配对与协作感知算法。采用接收信噪比最优的认知用户为感知用户且以接收信噪比次优的认知用户为其中继的配对准则,获得最佳频谱感知性能。通过优化设置协作门限,选择性地采用非协作或协作模式,获得更低的时隙消耗。同时,推导了在瑞利平坦衰落环境下该算法的频谱检测概率下界与时隙消耗。数值计算结果表明,与原有算法相比,该算法不仅检测概率更高且时隙消耗更低。

Research on cognitive user pairing and cooperative sensing

Aim at the shortages of the cooperative algorithm in sensing and time slot spent,an optimal cognitive users pairing and cooperative sensing algorithm was proposed.To achieve the best sensing performance,the pairing criterion was adopted where the one with the best receive SNR was used for the sense user and the one with the second-best re-ceive SNR was used for the relay.According to optimizing cooperation threshold,non-cooperative or cooperative mode was selected,which made time slot spent much lower but sensing ability slight decreasing.Meanwhile,a lower bound of the detection probability and the time slot spent were derived in Rayleigh flat fading channels.Numerical results show the proposed algorithm has higher detection probability and lower time slot spent than the existing one.