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Performance of energy detector over Nakagami-m fading for relay-based cognitive radio networks

机译:基于中继的认知无线电网络的Nakagami-M逐渐消退的能量探测器的性能

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In this work, we analyze the performance of cooperative relay based energy detection in cognitive radio. The two hop cognitive relay is considered in independent and identically distributed (i.i.d.) Nakagami-m fading channels. An energy detector is employed at the fusion center where the lower bound average detection probability is obtained by averaging the alternative Marcum-Q function over probability density function (PDF) of end-to-end signal to noise ratio (SNR). The exact average detection expression is evaluated based on the canonical series representation of generalized Marcum-Q function of real order in conjunction with the derivatives of moment generating function (MGF) of end-to-end SNR developed in [1]. First, single cognitive relay with single antenna is considered, followed by multiple antennas enabled at the cognitive relay for the receiver side, and at the fusion center. Finally, we validate our analytical results with Monte Carlo simulations with the help of Mathematica and MATLAB programs. The exact detection expressions match with the simulations, whereas the lower bound expressions match with the simulations for low SNR values.
机译:在这项工作中,我们分析了基于协作中继的能量检测在认知收音机中的性能。两跳认知继电器被认为是独立的,并相同分布的(i.i.d.)Nakagami-M褪色渠道。在融合中心采用能量检测器,其中通过在端到端信号的概率密度函数(PDF)上的替代MARCUM-Q功能对噪声比(SNR)进行替代MARCUM-Q功能来获得较低的平均检测概率。基于实际顺序的典型Marcum-Q功能的规范系列表示,结合[1]中开发的端到端SNR的时刻生成功能(MGF)的衍生物来评估确切的平均检测表达。首先,考虑具有单个天线的单个认知继电器,然后在接收器侧的认知继电器和融合中心处启用多个天线。最后,我们在Mathematica和Matlab程序的帮助下验证了蒙特卡罗模拟的分析结果。确切的检测表达式与模拟匹配,而下限表达式与低SNR值的模拟匹配。

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