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Analysis of the FM radio spectrum for Internet of Things opportunistic access via Cognitive Radio

机译:通过认知无线电分析机会机会互联网互联网的信息

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The emerging employment of low-power short-range Internet of Things (IoT) devices, coupled with the rapid growth of wireless devices in general, is creating a problem by placing an overwhelming demand on the radio spectrum. This overwhelming demand is causing a shortage of radio spectrum. To combat this shortage, IoT devices need to be able to identify vacant radio spectrum that can be used in an opportunistic manner through Cognitive Radio (CR). This paper presents a methodology to determine utilization of FM radio spectrum, which would support efficient IoT device communication via CR. The methodology is showcased by analyzing the FM radio spectrum in an urban area and determining its capacity to support IoT device communication. The results show that the spectrum in the urban area is 76% underutilized. Therefore, the FM radio spectrum appears to be an excellent candidate to support low-power short-range IoT devices through CR.
机译:低功率短程互联网的新兴就业(物联网)设备,与无线设备的快速增长相结合,通过在无线电频谱上放置压倒性需求来创造问题。这种压倒性的需求导致无线电频谱短缺。为了打击这种短缺,IOT设备需要能够识别可以通过认知无线电(CR)以机会方式使用的空置无线电频谱。本文介绍了确定FM无线电频谱的利用的方法,这将通过CR支持高效的物联网设备通信。通过分析城市区域中的FM无线电频谱并确定其支持物联网设备通信的能力来展示方法。结果表明,市区的频谱未充分利用76%。因此,FM无线电频谱似乎是通过CR支持低功率短程IOT设备的优异候选者。

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