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Performance Analysis of Decision/Data Fusion-Aided Cooperative Cognitive Radio Network Over Generalized Fading Channel

机译:决策/数据融合辅助合作认知无线电网络在通用衰落信道上的性能分析

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摘要

In this paper, the analytical performance evaluation of the cooperative cognitive radio network (CCRN) with hard-decision and soft-data fusions is investigated in the presence of noisy and generalized kappa - mu fading channel. The novel expressions to calculate detection probability of CCRN subject to kappa - mu fading and fusion are derived. The analysis of various fusions is evaluated and compared. The performance of CCRN, considering an erroneous sensing and reporting channels, is studied. Also, an optimal threshold subject to fusion scheme is computed. The CCRN performance is evaluated through miss detection probability and total error rate, considering the significant impact of channel and network parameters. Finally, Monte Carlo simulation is performed to validate the derived expressions.
机译:在本文中,研究了在存在嘈杂和广义kappa-mu衰落信道的情况下,具有硬决策和软数据融合的协作认知无线电网络(CCRN)的分析性能评估。推导了计算κ衰落和融合的CCRN检测概率的新表达式。评估并比较了各种融合的分析。考虑错误的感知和报告通道,研究了CCRN的性能。而且,计算了经受融合方案的最优阈值。考虑到信道和网络参数的重大影响,通过未命中检测概率和总错误率评估CCRN性能。最后,执行蒙特卡洛模拟以验证导出的表达式。

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