对数正态阴影下认知无线电协同传感

Nedaa Al Hussien, M. Abdel-Hafez, K. Shuaib
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引用次数: 7

摘要

频谱感知是认知无线电网络的一项重要功能。它定义了可供二次用户使用的频谱机会,以提高频谱利用率。然而,阴影对传感性能的影响很大。本文研究了对数正态阴影环境下的传感问题,推导了基于高斯-埃尔米特积分的检测概率的封闭形式,并对该形式的精度进行了研究。此外,还讨论了对数正态阴影中的协同传感,通过互补接收机工作特性(CROC)曲线评估了不同软组合方案的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collaborative sensing for cognitive radio under log-normal shadowing
Spectrum sensing is an essential function in cognitive radio networks. It defines spectrum opportunities that can be used by secondary users to increase spectrum utilization. However, sensing performance is highly affected by shadowing. In this paper, sensing in a log-normal shadowing environment is investigated, where a closed-form for the probability of detection based on Gauss-Hermite integration is derived, and the accuracy of this form is studied. In addition, collaborative sensing in log-normal shadowing is addressed, where the performance of different soft combining schemes is evaluated via Complementary Receiver Operating Characteristic (CROC) curves.
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