Support of Teleoperated Driving with 5G Networks

被引:2
|
作者
Lucas-Estan, M. C. [1 ]
Coll-Perales, B. [1 ]
Khan, M. I. [2 ]
Avedisov, S. S. [2 ]
Altintas, O. [2 ]
Gozalvez, J. [1 ]
Sepulcre, M. [1 ]
机构
[1] Univ Miguel Hernandez Elche, Uwicore Lab, Elche, Alicante, Spain
[2] Toyota Motor North Amer R&D, InfoTech Labs, Mountain View, CA USA
来源
2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年
关键词
5G; V2N; V2N2V; teleoperated driving; ToD; vehicular networks; TDD; end-to-end latency; CAV; connected and automated vehicles;
D O I
10.1109/VTC2023-Fall60731.2023.10333656
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Teleoperated driving (ToD) can support autonomous driving under complex or unexpected traffic scenarios that an autonomous vehicle may not understand or be able to handle. In ToD, autonomous vehicles transmit video feeds and perception data to the remote control center. The operator uses this data to understand the driving environment and remotely control the vehicle that can take over the control once the scenario is resolved. ToD requires reliable and low latency communications between the vehicle and the ToD control center. This study analyzes the feasibility to support ToD with 5G networks. The study demonstrates that the feasibility strongly depends on the bandwidth and the Time Division Duplexing (TDD) frame structure that conditions how the bandwidth is distributed between uplink and downlink transmissions. The study also shows that scaling the number of 5G-supported ToD vehicles requires the vehicles to reduce the video bitrates. The study also shows that traditional centralized 5G network deployments may be challenged by some of the most stringent ToD latency requirements due to the latency introduced by the Internet connection to the ToD control center.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Coding for Caching in 5G Networks
    Fadlallah, Yasser
    Tulino, Antonia M.
    Barone, Dario
    Vettigli, Giuseppe
    Llorca, Jaime
    Gorce, Jean-Marie
    IEEE COMMUNICATIONS MAGAZINE, 2017, 55 (02) : 106 - 113
  • [42] 5G Networks in the Value Chain
    Rejeb, Abderahman
    Keogh, John G.
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 117 (02) : 1577 - 1599
  • [43] New Waveforms for 5G Networks
    Zhang, Charlie Jianzhong
    Ma, Jianglei
    Li, Geoffrey Ye
    Yu, Wei
    Jindal, Nihar
    Kishiyama, Yoshihisa
    Parkvall, Stefan
    IEEE COMMUNICATIONS MAGAZINE, 2016, 54 (11) : 64 - 65
  • [44] PROSPECT OF 5G INTELLIGENT NETWORKS
    Huang, Yuhong
    Xu, Xiaodong
    Li, Nan
    Ding, Haiyu
    Tang, Xiaoxuan
    IEEE WIRELESS COMMUNICATIONS, 2020, 27 (04) : 4 - 5
  • [45] On the design of 5G transport networks
    Matteo Fiorani
    Björn Skubic
    Jonas Mårtensson
    Luca Valcarenghi
    Piero Castoldi
    Lena Wosinska
    Paolo Monti
    Photonic Network Communications, 2015, 30 : 403 - 415
  • [46] MapReduce Processing with 5G networks
    Satoh, Ichiro
    2019 TWELFTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK (ICMU), 2019,
  • [47] Integration of Satellite and 5G Networks
    Guizani, Mohsen (mguizani@ieee.org), 2018, Institute of Electrical and Electronics Engineers Inc. (32):
  • [48] Threat Modelling for 5G networks
    Santos, Bernardo
    Barriga, Luis
    Dzogovic, Bruno
    Hassan, Ismail
    Feng, Boning
    Jacot, Niels
    Do, Van Thuan
    Van Do, Thanh
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 611 - 616
  • [49] Integration of Satellite and 5G Networks
    Guizani, Mohsen
    IEEE NETWORK, 2018, 32 (05): : 2 - 2
  • [50] Coaxial Networks for 5G Fronthaul
    Acatauassu, Diogo
    Freitas, Marx
    Costa, Joao C. W. A.
    Medeiros, Eduardo
    Almeida, Igor
    Cavalcante, Andre
    2018 IEEE 23RD INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD), 2018, : 355 - 360