Location-aware 5G communications and Doppler compensation for high-speed train networks

Toni Levanen, Jukka Talvitie, Risto Wichman, Ville Syrjala, Markku Renfors, Mikko Valkama

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

11 Citations (Scopus)

Abstract

We discuss methods to obtain high accuracy location information in high-speed train networks and way to use this information on the train and network side. First, the state-of-the-art train localization methods are reviewed and contributions of 5G new radio based localization to high-speed train systems are described. Then the location-awareness is discussed in the context of frequency domain Doppler distortion estimation and compensation in an example high-speed train system operating at 30 GHz carrier frequency. Finally, the benefits of location awareness from the communications network and train line operation point of view are discussed in general, including possibilities to improve the train track capacity and safety.

Original languageEnglish
Title of host publicationEuCNC 2017 - European Conference on Networks and Communications
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538638736
DOIs
Publication statusPublished - 13 Jul 2017
MoE publication typeA4 Article in a conference publication
EventEuropean Conference on Networks and Communications - Oulu, Finland
Duration: 12 Jun 201715 Jun 2017

Publication series

NameEuropean Conference on Networks and Communications
ISSN (Print)2475-6490
ISSN (Electronic)2575-4912

Conference

ConferenceEuropean Conference on Networks and Communications
Abbreviated titleEuCNC
CountryFinland
CityOulu
Period12/06/201715/06/2017

Keywords

  • 5G NR
  • CFO
  • Doppler
  • high-speed train
  • ICI
  • location-awareness
  • OFDM
  • safety
  • track capacity
  • transport systems

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  • Cite this

    Levanen, T., Talvitie, J., Wichman, R., Syrjala, V., Renfors, M., & Valkama, M. (2017). Location-aware 5G communications and Doppler compensation for high-speed train networks. In EuCNC 2017 - European Conference on Networks and Communications [7980755] (European Conference on Networks and Communications). IEEE. https://doi.org/10.1109/EuCNC.2017.7980755