Cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels

Gang Xiong, S. Kishore
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引用次数: 2

Abstract

This paper presents cooperative spectrum sensing in cognitive radio networks under Gaussian fusion channels. The global detection performance is evaluated based on Neyman-Pearson (NP) detection and using equal gain combining (EGC) fusion rule. It is shown that, under a global signal to noise ratio (SNR) constraint, the global detection performance can be maximized by choosing an appropriate local energy threshold. Furthermore, asymptotic performance is investigated assuming large numbers of secondary users and samples used for local energy calculation.
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高斯融合信道下认知无线电网络的协同频谱感知
研究了高斯融合信道下认知无线电网络的协同频谱感知。基于内曼-皮尔逊(NP)检测和等增益组合(EGC)融合规则对全局检测性能进行了评价。结果表明,在全局信噪比约束下,通过选择合适的局部能量阈值可以最大限度地提高全局检测性能。进一步,研究了在大量二次用户和样本用于局部能量计算的情况下的渐近性能。
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