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Hybrid accuracy-time trade-off solution for spectrum sensing in cognitive radio networks

机译:认知无线电网络中频谱感知的混合精度-时间权衡解决方案

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This paper explores how the vital function of spectrum sensing should be executed in cognitive radio networks. The cognitive receiver is required to be able to evaluate the spectral environment properly so that it may not create additional interference to the primary users. The sensing accuracy and time are conflicting parameters, therefore, a trade-off is necessary for an optimal efficiency. We propose a dual-approach solution. The decision about the spectrum occupancy is made using the measured signal-to-noise ratio (SNR) and the received signal levels as inputs in a fuzzy logic algorithm. The result is then compared with the one acquired using the statistical method. Finally, an optimal balance between the sensing time and accuracy is obtained for the current environmental conditions using the derived closed form expression. The algorithm has been implemented using the USRP platform and GNU Radio. The analysis of the results shows the efficiency of our proposal.
机译:本文探讨了如何在认知无线电网络中执行频谱感知的重要功能。要求认知接收机能够正确评估频谱环境,以免对主要用户造成额外的干扰。感测精度和时间是相互矛盾的参数,因此,需要权衡以获得最佳效率。我们提出了一种双重解决方案。在模糊逻辑算法中,使用测得的信噪比(SNR)和接收到的信号电平作为输入来做出有关频谱占用率的决定。然后将结果与使用统计方法获得的结果进行比较。最终,使用导出的封闭形式表达式获得当前环境条件下传感时间和精度之间的最佳平衡。该算法已使用USRP平台和GNU Radio实现。结果分析表明我们的建议是有效的。

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