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Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami-m fading channels

机译:Nakagami-m衰落信道上的认知无线电网络与辅助用户选择的协作频谱感知

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摘要

This study investigates cooperative spectrum sensing (CSS) in cognitive wireless radio networks (CWRNs). A practical system is considered where all channels experience Nakagami- fading and suffers from background noise. The realisation of the CSS can follow two approaches where the final spectrum decision is based on either only the global decision at fusion centre (FC) or both decisions from the FC and secondary user (SU). By deriving closed-form expressions and bounds of missed detection probability (MDP) and false alarm probability (FAP), the authors are able to not only demonstrate the impacts of the -parameter on the sensing performance, but also evaluate and compare the effectiveness of the two CSS schemes with respect to various fading parameters and the number of SUs. It is interestingly noticed that a smaller number of SUs could be selected to achieve the lower bound of the MDP rather using all the available SUs while still maintaining a low FAP. As a second contribution, they propose a SU selection algorithm for the CSS to find the optimised number of SUs for lower complexity and reduced power consumption. Finally, numerical results are provided to demonstrate the findings.
机译:这项研究调查了认知无线电网络(CWRN)中的协作频谱感知(CSS)。考虑到一个实用的系统,其中所有通道均会经历Nakagami衰落并遭受背景噪声。 CSS的实现可以采用两种方法,其中最终频谱决策仅基于融合中心(FC)的全局决策,或者基于FC和辅助用户(SU)的决策。通过推导闭式表达式和漏检概率(MDP)和误报概率(FAP)的边界,作者不仅能够证明-参数对传感性能的影响,而且能够评估和比较传感器的有效性。两种关于衰落参数和SU数量的CSS方案。有趣的是,可以选择较少数量的SU来实现MDP的下限,而不是使用所有可用的SU来保持FAP不变。作为第二个贡献,他们为CSS提出了一种SU选择算法,以找到优化数量的SU,以降低复杂性并降低功耗。最后,提供数值结果以证明发现。

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