An appropriate threshold selection scheme is one of the main components to adjudicate the performance of energy detection spectrum sensing (EDSS) technique for cognitive radio network. In this paper, we have employed two different threshold selection approaches namely, the constant false-alarm rate (CFAR) and minimized error probability (MEP) and analyzed the threshold selection effects on the performance of cognitive user (CU) communication systems particularly, the total spectrum sensing error probability and throughput. We have derived the expressions and analyzed these performance parameters by considering an imperfect spectrum sensing and reporting channels in the cooperative spectrum sensing scenarios for additive white Gaussian noise (AWGN), Rayleigh and Nakagami-m fading environments. In addition, the censoring concept has been applied to the proposed system and compared its effect with that of the non-censoring based cognitive radio network (CRN) system under the perfect reporting (PR) and imperfect reporting (IR) channel. With the help of simulation, we have illustrated that the role of threshold selection approach is crucial to maximize the throughput and minimize the spectrum sensing error while considering the amount of error in the reporting channel. Further, from the results, the existence of trade-off between the spectrum sensing error probability and throughput is presented with threshold selection approaches. Moreover, it is also shown that there is need to switch among CFAR and MEP threshold selection approaches in the censoring scenario, to enhance the throughput and decrease the spectrum sensing error probability.

适当的阈值选择方案是判断认知无线电网络的能量检测频谱感知（EDSS）技术性能的主要因素之一。在本文中，我们采用了两种不同的阈值选择方法，即恒定误报率（CFAR）和最小错误概率（MEP），并分析了阈值选择对认知用户（CU）通信系统性能的影响，特别是总频谱感测错误概率和吞吐量。我们已经得出了表达式，并考虑了在加性高斯白噪声（AWGN），瑞利和Nakagami-m衰落环境下的协作频谱感知场景中不完善的频谱感知和报告通道，并分析了这些性能参数。此外，在理想报告（PR）和不完善报告（IR）信道下，审查概念已应用于所提出的系统，并将其效果与基于非审查的认知无线电网络（CRN）系统的效果进行了比较。在仿真的帮助下，我们已经说明了阈值选择方法的作用对于在考虑报告通道中的错误量的同时，最大化吞吐量和最小化频谱检测错误至关重要。此外，从结果来看，利用阈值选择方法呈现了频谱感测错误概率和吞吐量之间的折衷。此外，还显示出在审查场景中需要在CFAR和MEP阈值选择方法之间切换，以提高吞吐量并降低频谱感测错误概率。