Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices

The analysis presented in this paper indicates that the FM radio spectrum is underutilized in the areas of the continental United States that have a population of 100000 or less. These locations have vacant FM radio spectrum of at least 13 MHz with sufficient spectrum spacing between adjacent FM rad...

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Main Authors: Derek T. Otermat, Ivica Kostanic, Carlos E. Otero
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7587389/
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author Derek T. Otermat
Ivica Kostanic
Carlos E. Otero
author_facet Derek T. Otermat
Ivica Kostanic
Carlos E. Otero
author_sort Derek T. Otermat
collection DOAJ
description The analysis presented in this paper indicates that the FM radio spectrum is underutilized in the areas of the continental United States that have a population of 100000 or less. These locations have vacant FM radio spectrum of at least 13 MHz with sufficient spectrum spacing between adjacent FM radio channels. The spectrum spacing provides the required bandwidth for data transmission and provides enough bandwidth to minimize interference introduced by neighboring predicted and unpredicted FM radio stations and other low-power short-range Internet of Thing (IoT) devices. To ensure that low-power short-range IoT devices maintain reliable communications vacant radio spectrum, such as the FM radio spectrum in these areas, will need to be used through cognitive radio.
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spelling doaj.art-5cbf67ee851f4526b2a2924a587b09932022-12-21T22:22:38ZengIEEEIEEE Access2169-35362016-01-0146681669110.1109/ACCESS.2016.26161137587389Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things DevicesDerek T. Otermat0https://orcid.org/0000-0002-1888-5287Ivica Kostanic1Carlos E. Otero2Electrical and Computer Engineering Department, Florida Institute of Technology, Melbourne, FL, USAElectrical and Computer Engineering Department, Florida Institute of Technology, Melbourne, FL, USAElectrical and Computer Engineering Department, Florida Institute of Technology, Melbourne, FL, USAThe analysis presented in this paper indicates that the FM radio spectrum is underutilized in the areas of the continental United States that have a population of 100000 or less. These locations have vacant FM radio spectrum of at least 13 MHz with sufficient spectrum spacing between adjacent FM radio channels. The spectrum spacing provides the required bandwidth for data transmission and provides enough bandwidth to minimize interference introduced by neighboring predicted and unpredicted FM radio stations and other low-power short-range Internet of Thing (IoT) devices. To ensure that low-power short-range IoT devices maintain reliable communications vacant radio spectrum, such as the FM radio spectrum in these areas, will need to be used through cognitive radio.https://ieeexplore.ieee.org/document/7587389/Internet of thingscognitive radioFM radio
spellingShingle Derek T. Otermat
Ivica Kostanic
Carlos E. Otero
Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
IEEE Access
Internet of things
cognitive radio
FM radio
title Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
title_full Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
title_fullStr Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
title_full_unstemmed Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
title_short Analysis of the FM Radio Spectrum for Secondary Licensing of Low-Power Short-Range Cognitive Internet of Things Devices
title_sort analysis of the fm radio spectrum for secondary licensing of low power short range cognitive internet of things devices
topic Internet of things
cognitive radio
FM radio
url https://ieeexplore.ieee.org/document/7587389/
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AT carloseotero analysisofthefmradiospectrumforsecondarylicensingoflowpowershortrangecognitiveinternetofthingsdevices