Cooperative spectrum sensing optimization through maximizing the network utility and minimizing the error probability

Bommena Pruthviraj Kumar, D. Das, Susmita Das
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引用次数: 2

Abstract

This paper deals with the conventional energy detection based cooperative spectrum sensing to overcome the problems of shadowing/fading and noise uncertainty of wireless channels. In cooperative spectrum sensing several cognitive radios cooperatively detect the unused frequency slots. We investigate the optimum voting rule as half voting rule also called majority rule in `n out of K' rules and optimal number of cognitive radios with an aim to maximize the network utility function and minimize the error probability. The optimal conditions have been verified through simulation results over an AWGN channel and it is concluded that `majority rule' outperforms the `AND rule' and `OR rule' in maximizing the utility function and minimizing the error probability.
通过最大化网络效用和最小化错误概率实现协同频谱感知优化
本文研究了传统的基于能量检测的协同频谱感知,克服了无线信道的阴影/衰落和噪声不确定性问题。在协同频谱感知中,多个认知无线电协同检测未使用的频段。我们研究了最优投票规则,即半投票规则,也称为“n out of K”规则中的多数决定规则和最优认知无线电数,目的是最大化网络效用函数和最小化错误概率。通过AWGN信道的仿真结果验证了最优条件,得出“多数原则”在最大化效用函数和最小化错误概率方面优于“与规则”和“或规则”的结论。
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