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Assessment of Spectrum Management Approaches to Private Industrial Networks

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Cognitive Radio-Oriented Wireless Networks (CrownCom 2019)

Abstract

Ubiquitous connectivity is one of the foundational technologies enabling data sharing amongst participating components of an industrial internet of things (IIoT) system. The growing pressure to open the mobile market for location specific networks has resulted in new regional licensing and sharing-based models for spectrum access, to allow the emergence of local networks to serve different verticals. While the development of technical solutions for network performance is progressing, less attention has been paid to the spectrum management approaches for the new industrial networks and location specific service offerings. This paper examines solutions to problems currently faced by industry in acquiring spectrum to support the IIoT along with introducing a framework that should be accounted for when assessing the feasibility of the spectrum management approaches. The aspects of how spectrum is currently allocated and how it addresses the IIoT needs were assessed in six selected countries: Canada, Finland, France, Germany, Netherlands, UK and US.

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Correspondence to Pekka Ojanen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ojanen, P., Yrjölä, S. (2019). Assessment of Spectrum Management Approaches to Private Industrial Networks. In: Kliks, A., et al. Cognitive Radio-Oriented Wireless Networks. CrownCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-030-25748-4_21

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  • DOI: https://doi.org/10.1007/978-3-030-25748-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25747-7

  • Online ISBN: 978-3-030-25748-4

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