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Implementation of Context-Aware Environments with Massive IoT Systems

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A Glimpse Beyond 5G in Wireless Networks

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

In this chapter, we will describe the framework for IoT evolution, from current LPWAN/5G connectivity to future B5G systems, taking advantage of sub-THz (mainly in the 100–300 GHz frequency range) and THz bands (up to 10 THz). The requirements in terms of device integration, node density, interference, and energy handling will be described. Coverage/capacity estimations for different case uses within dense urban/urban/suburban settings will be presented, based on deterministic volumetric wireless channel estimation. Different application scenarios, such as the evolution of current IoT applications towards sensing networks, will be discussed, based on the description of three realistic use case scenarios.

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Author information

Authors and Affiliations

  1. Electric, Electronic and Communication Engineering Department, Public University of Navarra, Pamplona, Navarra, Spain

    Imanol Picallo, Peio Lopez-Iturri & Francisco Falcone

  2. School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, NL, Mexico

    Mikel Celaya-Echarri & Leyre Azpilicueta

Authors
  1. Imanol Picallo
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  2. Mikel Celaya-Echarri
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  3. Peio Lopez-Iturri
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  4. Leyre Azpilicueta
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  5. Francisco Falcone
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Corresponding author

Correspondence to Francisco Falcone .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, North South University,, Dhaka, Bangladesh

    Mohammad Abdul Matin

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Picallo, I., Celaya-Echarri, M., Lopez-Iturri, P., Azpilicueta, L., Falcone, F. (2023). Implementation of Context-Aware Environments with Massive IoT Systems. In: Matin, M.A. (eds) A Glimpse Beyond 5G in Wireless Networks. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-13786-0_8

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  • DOI: https://doi.org/10.1007/978-3-031-13786-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13785-3

  • Online ISBN: 978-3-031-13786-0

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