基于改进能量检测器的动态聚类协同频谱感知

2016 3rd International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2016-03-03 DOI:10.1109/RAIT.2016.7507873

Kuldeep Yadav, A. Bhowmick, Sanjay Dhar Roy, S. Kundu

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引用次数: 3

摘要

针对认知无线电(CR)网络，研究了一种基于改进能量检测器的动态聚类协同频谱感知(CSS)方案。提出了一种考虑瑞利衰落感知(S)和报告(R)信道的动态聚类新表达式。以漏检概率、总错误概率为性能指标，结合信号功率提升因子(SPRF)、感知信道信噪比和接入点(ap)数量等多个感知参数进行了研究。此外，还比较了聚类网络与非聚类网络的性能。

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Cooperative spectrum sensing based on dynamic clustering with improved energy detector

A novel dynamic clustering based cooperative spectrum sensing (CSS) scheme with improved energy detectors (IEDs) has been studied for a cognitive radio (CR) network. A novel expression for dynamic clustering is developed considering Rayleigh faded sensing (S) and reporting (R) channels. The missed detection probability, total error probability are considered as performance metrics and studied with respect to several sensing parameters, such as signal power raise factor (SPRF), sensing channel SNR and number of access points (APs). Furthermore, the performance of clustered network is also compared with the non-clustered network.

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2016 3rd International Conference on Recent Advances in Information Technology (RAIT)

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