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Mission Critical IoT Communication in 5G

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Future Access Enablers for Ubiquitous and Intelligent Infrastructures (FABULOUS 2015)

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Abstract

5G is envisioned to support unprecedented diverse applications and services with extremely heterogeneous performance requirements, i.e., mission critical IoT communication, massive machine-type communication and Gigabit mobile connectivity. This imposes enormous challenges to fulfil the key performance requirements, in particular, mission critical IoT communication, which calls for a dramatic paradigm change in 5G. This paper presents vision and challenges of mission critical IoT scenarios and the enabling technologies in 5G. Several research opportunities are given as example for inspiration purpose.

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Notes

  1. 1.

    The number of multiplexed users is more than the length of the multiplexed codewords, i.e., the number of orthogonal resources.

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Author information

Authors and Affiliations

  1. Qi Zhang Department of Engineering, Aarhus University, 8200, Aarhus, Denmark

    Qi Zhang

  2. 5G Lab Germany, Technische Universitt Dresden, 01062, Dresden, Germany

    Frank H. P. Fitzek

Authors
  1. Qi Zhang
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  2. Frank H. P. Fitzek
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Corresponding author

Correspondence to Qi Zhang .

Editor information

Editors and Affiliations

  1. Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia

    Vladimir Atanasovski

  2. University of Toronto, Toronto, Canada

    Alberto Leon-Garcia

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Q., Fitzek, F.H.P. (2015). Mission Critical IoT Communication in 5G. In: Atanasovski, V., Leon-Garcia, A. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 159. Springer, Cham. https://doi.org/10.1007/978-3-319-27072-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-27072-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27071-5

  • Online ISBN: 978-3-319-27072-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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