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Concepts on Train-to-Ground Wireless Communication System for Hyperloop: Channel, Network Architecture, and Resource Management

Author

Listed:
  • Jiachi Zhang

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
    School of Rail Transportation, Shandong Jiaotong University, Jinan 250357, China)

  • Liu Liu

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Botao Han

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Zheng Li

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Tao Zhou

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Kai Wang

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Dong Wang

    (School of Rail Transportation, Shandong Jiaotong University, Jinan 250357, China)

  • Bo Ai

    (School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Hyperloop is envisioned as a novel transportation way with merits of ultra-high velocity and great traveling comforts. In this paper, we present some concepts on the key technologies dedicated to the train-to-ground communication system based on some prevailing fifth-generation communication (5G) technologies from three aspects: wireless channel, network architecture, and resource management. First, we characterize the wireless channel of the distributed antenna system (DAS) using the propagation-graph channel modelling theory. Simulation reveals that a drastic Doppler shift variation appears when crossing the trackside antenna. Hence, the leaky waveguide system is a promising way to provide a stable receiving signal. In this regard, the radio coverage is briefly estimated. Second, a cloud architecture is utilized to integrate several successive trackside leaky waveguides into a logical cell to reduce the handover frequency. Moreover, based on a many-to-many mapping relationship between distributed units (DUs) and centralized units (CUs), a novel access network architecture is proposed to reduce the inevitable handover cost by using the graph theory. Simulation results show that this scheme can yield a low handover cost. Then, with regards to the ultra-reliable and low latency communication (uRLLC) traffic, a physical resource block (PRB) multiplexing scheme considering the latency requirements of each traffic type is exploited. Simulation presents that this scheme can maximize the throughput of non-critical mission communication services while guaranteeing the requirements of uRLLC traffic. Finally, in terms of the non-critical mission communication services, two cache-based resource management strategies are proposed to boost the throughput and reduce the midhaul link burden by pre-fetching and post-uploading schemes. Simulation demonstrates that the cache-based schemes can boost the throughput dramatically.

Suggested Citation

  • Jiachi Zhang & Liu Liu & Botao Han & Zheng Li & Tao Zhou & Kai Wang & Dong Wang & Bo Ai, 2020. "Concepts on Train-to-Ground Wireless Communication System for Hyperloop: Channel, Network Architecture, and Resource Management," Energies, MDPI, vol. 13(17), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4309-:d:401344
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    Citations

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    Cited by:

    1. Jie Zhou & Sujie Wu & Zhikang Lv & Hong Luo & Ting Liu & Genfu Shao, 2022. "Research on Vehicle-to-Vehicle MIMO Wireless Channels in Various Tunnels," Energies, MDPI, vol. 15(14), pages 1-21, July.
    2. Lambros Mitropoulos & Annie Kortsari & Alexandros Koliatos & Georgia Ayfantopoulou, 2021. "The Hyperloop System and Stakeholders: A Review and Future Directions," Sustainability, MDPI, vol. 13(15), pages 1-28, July.

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