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Performance improvement of CSS over imperfect reporting using diversity reception in cognitive radio networks

机译:在认知无线电网络中使用分集接收来改进不完善报告方面的CSS性能

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摘要

Purpose - This paper aims to discuss over imperfect reporting channel the performance of cooperative spectrum sensing (CSS). It is investigated that imperfect reporting channel introduces some lower bound in false alarm probability (Pf). The lower bound of probability of false alarm linearly increases with the probability of reporting error. Design/methodology/approach - To solve this problem, a transmit diversity-based CSS method is proposed, and to improve the detection performance, square law selection (SLS) diversity is used. Findings - It is observed that detection probability increases up to 11.55 per cent when SLS diversity is applied, and lower bound Qf decreases up to 80 per cent when transmit diversity is applied. Originality/value - No literature is available to the best of the authors' knowledge that measures the performance of CSS with respect to parameters as reported in this paper.
机译:目的-本文旨在讨论不完善的报告渠道上的协作频谱感知(CSS)的性能。据调查,不完善的报告渠道在误报概率(Pf)中引入了一些下限。错误报警概率的下限随报告错误的概率线性增加。设计/方法/方法-为了解决此问题,提出了一种基于发射分集的CSS方法,并且为了提高检测性能,使用了平方律选择(SLS)分集。结果-观察到,应用SLS分集时,检测概率增加到11.55%,而当应用传输分集时,下限Qf减小到80%。独创性/价值-如本文所报道的那样,没有文献可以用来衡量CSS相对于参数的性能。

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