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An optimal cooperative spectrum sensing method in cognitive radio network over Rayleigh fading channel

机译:瑞利衰落信道下认知无线电网络中的一种最佳协作频谱感知方法

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In cognitive radios, there exist two kinds of detection errors: missed-detection errors and false-alarm errors. These errors severely degrade sensing performance. In this paper, we aim to minimize the total detection probability by considering it as a target function for the optimization of sensing parameters in a Rayleigh fading environment. With this established target function, we perform a discrete difference operation and derive the closed — form expression of the optimal fusion rule for cooperative spectrum sensing. Furthermore, we derive an algorithm to optimize the energy detection threshold for the cognitive users for any fusion rule. A second algorithm that optimizes both the energy threshold and the fusion rule is also proposed so as to minimize the total error probability. Based on this algorithm, an optimal sensing method for a cooperative cognitive radio network is suggested.
机译:在认知无线电中,存在两种检测错误:错过检测错误和错误警报错误。这些错误严重降低了感测性能。在本文中,我们旨在通过将总检测概率视为优化瑞利衰落环境中感测参数的目标函数,来最大程度地降低总检测概率。借助此已建立的目标函数,我们执行离散差分运算,并得出用于协作频谱感测的最佳融合规则的闭式表达式。此外,我们推导了一种算法,可以针对任何融合规则为认知用户优化能量检测阈值。还提出了同时优化能量阈值和融合规则的第二种算法,以使总错误概率最小。基于该算法,提出了一种用于协作认知无线电网络的最优感知方法。

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