Support of Teleoperated Driving with 5G Networks

📅 2026-06-30
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the stringent requirements of remote teleoperated driving, which demands ultra-reliable and low-latency communication that current networks struggle to fulfill. The work systematically evaluates the feasibility of 5G networks in this context, with a focus on how time-division duplex (TDD) frame structures and uplink/downlink bandwidth configurations affect end-to-end latency for video transmission and control commands. It further models system scalability under multi-vehicle concurrency. The findings reveal that specific 5G configurations can support remote driving, albeit at the cost of reduced video bitrates to accommodate more vehicles. Moreover, internet backhaul latency imposes a significant bottleneck on centralized architectures, highlighting their inherent limitations in meeting the most demanding latency constraints.
📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Teleoperated Driving
5G Networks
Low Latency Communication
Remote Control
Autonomous Driving
Innovation

Methods, ideas, or system contributions that make the work stand out.

Teleoperated Driving
5G Networks
Time Division Duplexing
Low Latency Communication
Video Bitrate Adaptation
M
M. Carmen Lucas-Estañ
Uwicore laboratory, Universidad Miguel Hernandez de Elche, Elche (Alicante), Spain.
Baldomero Coll-Perales
Baldomero Coll-Perales
Associate Professor, Miguel Hernandez University of Elche
5G and Beyond/6Gconnected automated mobilitysubnetworks
M
Mohammad Irfan Khan
InfoTech Labs, Toyota Motor North America R&D, Mountain View, CA, U.S.A.
S
Sergei S. Avedisov
InfoTech Labs, Toyota Motor North America R&D, Mountain View, CA, U.S.A.
O
Onur Altintas
InfoTech Labs, Toyota Motor North America R&D, Mountain View, CA, U.S.A.
Javier Gozalvez
Javier Gozalvez
Professor, UWICORE Lab. Director, Universidad Miguel Hernandez de Elche (Spain)
V2Xvehicular networksIndustry 4.0ITS6G
Miguel Sepulcre
Miguel Sepulcre
Associate Professor, Miguel Hernández University of Elche, Spain
V2X communicationscooperative sensing and drivingconnected automated vehiclesheterogeneous networkingcongestion and awar