Cooperative spectrum sensing based on spatially-correlated Rayleigh shadowing

Yong Zhang, Zhong Chen, F. Gao, Xianda Zhang
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引用次数: 3

Abstract

Cooperative spectrum sensing has been proposed to help raise the sensitivity requirement under the fading propagation in Cognitive Radio Network. In this paper, we introduce a new explanation that the best probability of detection or false alarm can be achieved from only parts of the cooperative secondary users under different scenarios. Specifically, we analyze from the new perspective of spatially-correlated shadowing and formulate the probability of detection as a function of the correlation coefficient. The simulation shows that, given a targeted cooperative probability of false alarm, the cooperative probability of detection decreases as correlation increases. The range of an appropriate distance between secondary users is derived based on the accuracy and sensitivity of the Cognitive Radio system. According to the correlation coefficient between two SUs, we can determine the cooperative SUs' set to get better performance of Cognitive Radio Network.
基于空间相关瑞利阴影的协同频谱感知
为了提高认知无线网络在衰落传播下的灵敏度要求,提出了协同频谱感知技术。在本文中,我们引入了一种新的解释,即在不同的场景下,只有部分合作的二次用户才能达到最佳的检测或虚警概率。具体而言,我们从空间相关阴影的新角度进行分析,并将检测概率表示为相关系数的函数。仿真结果表明,在给定目标虚警合作概率的情况下,检测合作概率随着相关性的增加而降低。基于认知无线电系统的精度和灵敏度,推导出二次用户之间的适当距离范围。根据两个单元之间的相关系数,确定合作单元的集合,以获得更好的认知无线网络性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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