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5G Technology for Next-Generation Wireless Consist Networks in Railways

  • Conference paper
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Communication Technologies for Vehicles (Nets4Cars/Nets4Trains/Nets4Aircraft 2021)

Abstract

Currently, internal communications in trains are based on wired networks to provide Ultra-reliable Low Latency Communications (URLLC) for control and monitoring systems. However, these wired infrastructures are expensive to implement and maintain. Wireless Consist Networks (WLCN) can be a solution to this problem. Particularly, 5th Generation (5G) networks are considered one of the best options to support URLLC. This paper analyzes the use of 5G technology for a Wireless Consist Network (WLCN), as a replacement for the current wired network inside train consists. The goal of this analysis is to calculate which 5G configurations are capable of supporting the worst case of the required train backbone traffic. Obtained results indicate that 5G is a potential technology for sensor and end devices communication in the WLCN.

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References

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Acknowledgment

CONNECTA-2 and Safe4RAIL-2 projects have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No. 826098 and No. 826073, respectively.

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Correspondence to Ana Larrañaga .

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The information and views set out in this document are those of the author(s) and do not necessarily reflect the official opinion of Shift2Rail Joint Undertaking. The JU does not guarantee the accuracy of the data included in this article. Neither the JU nor any person acting on the JU’s behalf may be held responsible for the use which may be made of the information contained therein.

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Larrañaga, A. et al. (2021). 5G Technology for Next-Generation Wireless Consist Networks in Railways. In: Moreno García-Loygorri, J., Pérez Yuste, A., Berbineau, M. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2021. Lecture Notes in Computer Science(), vol 13120. Springer, Cham. https://doi.org/10.1007/978-3-030-92684-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-92684-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92683-0

  • Online ISBN: 978-3-030-92684-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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