主用户随机接入/离开模型下的频谱感知性能

    Spectrum Sensing Performance Analysis Under the Primary User Probability Access/Leave Model

    • 摘要: 经典的频谱感知性能分析方法通常假设主用户信号占满整个感知时隙,但实际上主用户可能在感知时隙的任意时刻接入或离开,针对这一情况,依据主用户随机“接入/离开”行为特征进行建模,在此基础上展开频谱感知性能的分析.首先,根据主用户接入或离开时刻在感知时隙内的位置,分4个场景进行讨论,得到主用户信号在感知时隙内持续时长的概率表达式;然后,采用能量检测方法,通过理论推导获得次用户平均检测概率的函数表达式.数值仿真结果验证了理论推导的合理性,同时表明主用户的随机“接入/离开”行为不仅显著影响感知性能的变化趋势,还使得次用户的感知最大降低达50%以上.

       

      Abstract: In classical spectrum sensing performance analysis methods,primary user's( PU) signal is usually assumed to occupy the entire sensing slots. However,the PU is likely to access or leave at any time of the sensing slot. In response to this situation, the random access or leave behavioral characteristics of the PU was modeled,based on which the spectrum sensing performance was analyzed.First,according to the PU's access or leave moment within the sensing slot, four scenarios were discussed,and the probability expression of PU's signal duration within the sensing slot was obtained.Then by adopting energy detection method,the SU's average sensing probability function expression was derived theoretically. Simulation results verify the rationality of theoretical derivation,and show that the PU's random access and leave behavior not only significantly affect the trend of sensing performance,but also decrease the SU's detection probability by 50% maximally.

       

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