A C-V2X/5G Field Study for Supporting Automated Driving

Matti Kutila; Kimmo Kauvo; Pasi Pyykönen; Xiaoyun Zhang; Victor Garrido Martinez; Yinxiang Zheng; Shen Xu

doi:10.1109/IV48863.2021.9576003

A C-V2X/5G Field Study for Supporting Automated Driving

Matti Kutila^*, Kimmo Kauvo, Pasi Pyykönen, Xiaoyun Zhang, Victor Garrido Martinez, Yinxiang Zheng, Shen Xu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

11 Citations (Scopus)

440 Downloads (Pure)

Abstract

This article focuses on reviewing the results of a series of trials conducted in Europe and China to benchmark 5G’s benefits for automated driving challenges. The measurements have been conducted for studying the influence of the current 5G/LTE-V2X connectivity and optimizing antenna height, driving speed, and performance variation due to landscape variation. The results have been aggregated in real-world testing conducted in Finland and China. The vehicles have been equipped with onboard units (OBUs) and the infrastructure with the latest available 5G or LTE technologies.

The outcome of this study indicates that LTE-V2X highly depends on antenna height. However, the latencies are quite stable, being 20–50 ms unless line-of-sight connection is lost. The communication range is increased by 5G, and also
package size can be increased by up to 1 MB without increasing the package error rate, which in the LTE-V2X case starts increasing when 0.5 MB is exceeded. This is not a problem for traditional C-ITS messages, but if considering “see through” or “remote video operation,” then the package size demand is much higher and goes beyond LTE-V2X’s capacity.

Original language	English
Title of host publication	32nd IEEE Intelligent Vehicles Symposium, IV 2021
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	315-320
ISBN (Electronic)	978-1-7281-5394-0, 978-1-7281-5393-3
ISBN (Print)	978-1-7281-5395-7
DOIs	https://doi.org/10.1109/IV48863.2021.9576003
Publication status	Published - 11 Jul 2021
MoE publication type	A4 Article in a conference publication
Event	32nd IEEE Intelligent Vehicles Symposium, IV'21 - virtual, Nagoya, Japan Duration: 11 Jul 2021 → 17 Jul 2021 Conference number: 32

Conference

Conference	32nd IEEE Intelligent Vehicles Symposium, IV'21
Abbreviated title	IV21
Country/Territory	Japan
City	Nagoya
Period	11/07/21 → 17/07/21

Funding

Research supported by the European Commission under H2020 framework program in the 5G-DRIVE (ID: 814956) project.

Access to Document

10.1109/IV48863.2021.9576003

AV_GLOSA_C-V2X_5G_IEEE_IV21Final published version, 569 KB

Cite this

@inproceedings{10e8e8e6e93f44a085c504b4609007d3,

title = "A C-V2X/5G Field Study for Supporting Automated Driving",

abstract = "This article focuses on reviewing the results of a series of trials conducted in Europe and China to benchmark 5G{\textquoteright}s benefits for automated driving challenges. The measurements have been conducted for studying the influence of the current 5G/LTE-V2X connectivity and optimizing antenna height, driving speed, and performance variation due to landscape variation. The results have been aggregated in real-world testing conducted in Finland and China. The vehicles have been equipped with onboard units (OBUs) and the infrastructure with the latest available 5G or LTE technologies. The outcome of this study indicates that LTE-V2X highly depends on antenna height. However, the latencies are quite stable, being 20–50 ms unless line-of-sight connection is lost. The communication range is increased by 5G, and also package size can be increased by up to 1 MB without increasing the package error rate, which in the LTE-V2X case starts increasing when 0.5 MB is exceeded. This is not a problem for traditional C-ITS messages, but if considering “see through” or “remote video operation,” then the package size demand is much higher and goes beyond LTE-V2X{\textquoteright}s capacity. ",

author = "Matti Kutila and Kimmo Kauvo and Pasi Pyyk{\"o}nen and Xiaoyun Zhang and \{Garrido Martinez\}, Victor and Yinxiang Zheng and Shen Xu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 32nd IEEE Intelligent Vehicles Symposium, IV'21, IV21 ; Conference date: 11-07-2021 Through 17-07-2021",

year = "2021",

month = jul,

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doi = "10.1109/IV48863.2021.9576003",

language = "English",

isbn = "978-1-7281-5395-7",

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booktitle = "32nd IEEE Intelligent Vehicles Symposium, IV 2021",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

Kutila, M , Kauvo, K , Pyykönen, P, Zhang, X, Garrido Martinez, V, Zheng, Y & Xu, S 2021, A C-V2X/5G Field Study for Supporting Automated Driving. in 32nd IEEE Intelligent Vehicles Symposium, IV 2021., MC-CSS.4, IEEE Institute of Electrical and Electronic Engineers, pp. 315-320, 32nd IEEE Intelligent Vehicles Symposium, IV'21, Nagoya, Japan, 11/07/21. https://doi.org/10.1109/IV48863.2021.9576003

A C-V2X/5G Field Study for Supporting Automated Driving. / Kutila, Matti ; Kauvo, Kimmo ; Pyykönen, Pasi et al.
32nd IEEE Intelligent Vehicles Symposium, IV 2021. IEEE Institute of Electrical and Electronic Engineers, 2021. p. 315-320 MC-CSS.4.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Zheng, Yinxiang

AU - Xu, Shen

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BT - 32nd IEEE Intelligent Vehicles Symposium, IV 2021

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T2 - 32nd IEEE Intelligent Vehicles Symposium, IV'21

Y2 - 11 July 2021 through 17 July 2021

ER -

A C-V2X/5G Field Study for Supporting Automated Driving

Abstract

Conference

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5G-DRIVE: 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

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A C-V2X/5G Field Study for Supporting Automated Driving

Abstract

Conference

Funding

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Projects

5G-DRIVE: 5G HarmoniseD Research and TrIals for serVice Evolution between EU and China

Cite this