Skip to main content

5G for Remote Driving of Trains

  • Conference paper
  • First Online:
Communication Technologies for Vehicles (Nets4Cars/Nets4Trains/Nets4Aircraft 2020)

Abstract

Automatic Train Operation (ATO) is a new growing market in the railways sector since 2019. Several railways operators such as SNCF, DB, SBB and so on have launched deep transformation in their infrastructures and rolling stock in order to enter in digital era. One of this game changers is upgrading to autonomous train on existing or new infrastructure. Since autonomous train means the absence of train driver, there is a big need of uplinked information to supervise autonomous trains from the ground. This includes the need of remotely driving the train if it encounters a problem, e.g. a non-recognised obstacle, an infrastructure breakdown. Remote driving will be a new operation mode in the railways sector that will rely on a well-designed radio link provided by 5G. This paper presents preliminary results on test tracks with Long Term Evolution (LTE) and a simulation based comparison between LTE and 5G at physical layer using Non orthogonal Multiple Access.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    TC-RAIL demo: https://www.sncf.com/fr/groupe/newsroom/teleconduite-train-autonome [Last accessed 12th July 2020].

References

  1. Ai, B., et al.: Future railway services-oriented mobile communications network. IEEE Commun. Mag. 53(10), 78–85 (2015)

    Article  Google Scholar 

  2. Akyildiz, I.F., Nie, S., Lin, S.C., Chandrasekaran, M.: 5G roadmap: 10 key enabling technologies. Comput. Netw. 106, 17–48 (2016)

    Article  Google Scholar 

  3. Allen, B., Eschbach, B., Mikulandra, M.: Defining an adaptable communications system for all railways. In: proceedings of the 7th Transport Research Arena TRA 2018 (TRA) (2018)

    Google Scholar 

  4. Alsaba, Y., et al.: Full-duplex cooperative non-orthogonal multiple access with beamforming and energy harvesting. IEEE Access 6, 19726–19738 (2018)

    Article  Google Scholar 

  5. Andrews, J.G., et al.: Optimum power control for successive interference cancellation with imperfect channel estimation. IEEE Trans. Wirel. Commun. 2(2), 375–383 (2003)

    Article  Google Scholar 

  6. Brunel, L., Bonneville, H., Charaf, A.: Throughput performance of 3GPP LTE system in railway environment. In: Pirovano, A., et al. (eds.) International Workshop on Communication Technologies for Vehicles, vol. 10222, pp. 60–71. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56880-5_7

    Chapter  Google Scholar 

  7. Cai, Y., Qin, Z., Cui, F., Li, G.Y., McCann, J.A.: Modulation and multiple access for 5G networks. IEEE Commun. Surv. Tutorials 20(1), 629–646 (2018). https://doi.org/10.1109/COMST.2017.2766698

    Article  Google Scholar 

  8. FRMCS Functional Working Group: Future Railway Mobile Communication System, User Requirements Specification, FU-7100 (2019)

    Google Scholar 

  9. He, R., et al.: High-speed railway communications: from GSM-R to LTE-R. IEEE Veh. Technol. Mag. 11(3), 49–58 (2016)

    Article  Google Scholar 

  10. Li, A., et al.: Investigation on low complexity power assignment method and performance gain of non-orthogonal multiple access systems. IEICE Trans. Fundam. 97(1), 57–68 (2014)

    Article  Google Scholar 

  11. Moreno, J., Riera, J.M., de Haro, L., Rodriguez, C.: A survey on future railway radio communications services: challenges and opportunities. IEEE Commun. Mag. 53(10), 62–68 (2015). https://doi.org/10.1109/MCOM.2015.7295465

    Article  Google Scholar 

  12. Mottier, D.: How 5G Technologies Could Benefit to the Railway Sector: Challenges and Opportunities. Mitsubishi Electric R&D Centre Europe, France (2018)

    Google Scholar 

  13. Nissel, R., et al.: Filter bank multicarrier modulation schemes for future mobile communications. IEEE J. Sel. Areas Commun. 35(8), 1768–1782 (2017)

    Article  Google Scholar 

  14. Saito, Y., et al.: Non-orthogonal multiple access (NOMA) for cellular future radio access. In: 2013 IEEE 77th Vehicular Technology Conference (VTC Spring), pp. 1–5. IEEE (2013)

    Google Scholar 

  15. Weingarten, H., et al.: The capacity region of the Gaussian multiple-input multiple-output broadcast channel. IEEE Trans. Inf. Theory 52(9), 3936–3964 (2006)

    Article  MathSciNet  Google Scholar 

  16. Yuan, Y., Yuan, Z., Tian, L.: 5G non-orthogonal multiple access study in 3GPP. IEEE Commun. Mag. 58(7), 90–96 (2020)

    Article  Google Scholar 

Download references

Acknowledgements

This work has been carried out in the framework of the TC-Rail project co-financed by a public and private consortium (Railenium, SNCF, Thales, Actia Telecom, CNES).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yamen Alsaba .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alsaba, Y., Berbineau, M., Dayoub, I., Masson, E., Adell, G.M., Robert, E. (2020). 5G for Remote Driving of Trains. In: Krief, F., Aniss, H., Mendiboure, L., Chaumette, S., Berbineau, M. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2020. Lecture Notes in Computer Science(), vol 12574. Springer, Cham. https://doi.org/10.1007/978-3-030-66030-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66030-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66029-1

  • Online ISBN: 978-3-030-66030-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics