An end-to-end 5G automotive ecosystem for autonomous driving vehicles

Thiago Raddo, Bruno Cimoli, Bogdan Sirbu, Simon Rommel, Tolga Tekin, Idelfonso Tafur Monroy

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Abstract

The fifth-generation (5G) of mobile systems is considered a key enabler technology for autonomous driving vehicles. This is due to its ultra-low latency, high-capacity, and network reliability. In this paper, a full end-to-end 5G automotive platform for benchmarking, certificating, and validating distinct use cases in cooperative intelligent transport systems, is proposed. Such an automotive platform enables fast service creation with open-access and on demand services designed for public use as well as for innovative use cases validation such as highway chauffeur system, truck platooning, and real-time perceptive intersection, to name a few. The distinct set of technologies that compose the end-to-end 5G automotive ecosystem framework is described. The holistic 5G automotive ecosystem can handle system and networking interoperability, handover between mobile cells, mobile edge computing capabilities including network slicing, service orchestration, and security. Moreover, the latency performance of a vehicular network with two vehicles is experimentally addressed by using the holistic platform. Up- and down-stream packet transmissions between the two vehicles in an open environment with real-traffic conditions is considered. The results pave the way towards latency levels within the range of 5G key performance indicators and consequently enabling autonomous driving systems. The 5G platform can be further useful for governmental agencies to define new policies and regulations, being able to address critical points such as data protection, liability, and legal obligation, regardless whether systems are partially or fully automated.
Original languageEnglish
Title of host publicationBroadband Access Communication Technologies XIV
EditorsBenjamin B. Dingel, Katsutoshi Tsukamoto, Spiros Mikroulis
PublisherSPIE
Number of pages10
ISBN (Electronic)9781510633773
DOIs
Publication statusPublished - 31 Jan 2020
EventBroadband Access Communication Technologies XIV - San Francisco, United States
Duration: 1 Feb 20206 Feb 2020

Publication series

NameProceedings of SPIE
Volume11307

Conference

ConferenceBroadband Access Communication Technologies XIV
Period1/02/206/02/20

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Keywords

  • 5G
  • LTE-V
  • THz
  • artificial intelligence (AI)
  • autonomous driving vehicles
  • light-fidelity (Li-Fi)
  • mobile edge computing (MEC)
  • software-defined networking (SDN)
  • visible light communication (VLC)

Cite this

Raddo, T., Cimoli, B., Sirbu, B., Rommel, S., Tekin, T., & Tafur Monroy, I. (2020). An end-to-end 5G automotive ecosystem for autonomous driving vehicles. In B. B. Dingel, K. Tsukamoto, & S. Mikroulis (Eds.), Broadband Access Communication Technologies XIV [1130705] (Proceedings of SPIE; Vol. 11307). SPIE. https://doi.org/10.1117/12.2548146