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Spectrum Sensing for Cognitive Radio in Filter- Bank Multi-Carrier Communications Systems: The Candidate Estimate

机译:滤波器组多载波通信系统中认知无线电的频谱感知:候选估计

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The big demand originated by the deployment of smart grids, where millions of sensors need to be deployed using wireless transport to the corresponding concentrator implies a dramatic change on the paradigmatic scenario of wireless communications. The new scenario is defined by very low bandwidth messages from a device but an enormous number of devices. This new scenario represents also an opportunity for cognitive radio techniques where the key step is the spectrum sensing method. This paper reconfigures the estimate recently reported CASE for the case of locating spectrum holes in Filter Bank Multi-Carrier (FBMC) communications systems scenarios. It is shown that, by tuning CASE to the minimum size of the spectrum hole able to admit secondary transmissions, the resulting performance is better than traditional methods in terms of resolution and robustness.
机译:巨大的需求源自智能电网的部署,在智能电网中,需要使用无线传输到相应集中器的方式来部署数百万个传感器,这意味着无线通信的范例场景发生了巨大变化。新场景是由来自设备但带宽数量众多的设备发出的带宽非常低的消息定义的。这种新情况也为认知无线电技术提供了机会,其中关键步骤是频谱感测方法。本文针对在滤波器组多载波(FBMC)通信系统场景中定位频谱孔的情况,重新配置了最近报告的CASE估计。结果表明,通过将CASE调整为能够允许二次传输的频谱孔的最小尺寸,在分辨率和鲁棒性方面,所产生的性能优于传统方法。

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