IEEE Wireless Communications · 2018 · 221 citations · 15 references
EngineeringElectrical EngineeringInformation TechnologyDigital CommunicationInternet Of ThingsWireless CommunicationsInterference ManagementSpectrum AllocationSpectrum ManagementSpectrum PolicyWireless Communication ProtocolsWireless NetworksCellular Communication NetworksCellular Interference ManagementCellular NetworksInterferenceLicensed SpectrumSpectrum AccessSpectrum SharingUnlicensed Spectrum
The Internet of Things requires massive device connectivity, but spectrum scarcity necessitates careful planning, making spectrum sharing a preferred solution for both licensed cellular and unlicensed bands. This survey examines prevalent IoT technologies in licensed and unlicensed spectrum, emphasizing spectrum sharing solutions, interference models, and management strategies, and outlines their advantages, disadvantages, and future research challenges. The authors systematically review existing IoT deployments, analyze shared spectrum approaches, interference modeling, and management techniques, and evaluate their trade‑offs to inform future development.
The Internet of Things (IoT) is a promising paradigm to accommodate massive device connections in 5G and beyond. To pave the way for future IoT, spectrum should be planned in advance. Spectrum sharing is a preferable solution for IoT due to the scarcity of available spectrum resources. In particular, mobile operators are inclined to exploit the existing standards and infrastructures of current cellular networks and deploy IoT within licensed cellular spectrum. However, proprietary companies prefer to deploy IoT within unlicensed spectrum to avoid any license fee. In this article, we provide a survey of prevalent IoT technologies deployed within licensed cellular spectrum and unlicensed spectrum. Emphasis will be on spectrum sharing solutions, including shared spectrum, interference model, and interference management. To this end, we discuss both advantages and disadvantages of different IoT technologies. Finally, we identify challenges for future IoT and suggest potential research directions.
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