On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey
Open accessAbstract
5G technologies promise faster connections, lower latency, higher reliability, more capacity and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to-Everything (V2X) communications, which increase the safety and autonomy of vehicles in addition to road safety, saving energy and costs. The integration of vehicular communication systems and 5G is the subject of many research. Nowadays, researchers address challenges such as automated and intelligent networks, cloud and edge data processing, network management, virtualization, security, privacy and finally interoperability. This paper provides a survey of the latest V2X use cases including requirements, and various 5G enabling technologies under consideration for vehicular communications. Subsequently, we first provide an interesting mapping between the three 5G pillars and V2X use case groups. Then, we present a summary of potential applications of enabling technologies for V2X use case groups. Finally, the open directions of research are discussed, and the challenges that await to be met are pointed out.
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Meeting stringent latency and reliability requirements in future 6G V2X sidelink networks is paramount to support mission-critical applications such as autonomous driving, V2V communication, and V2I communication.
“In future 6G V2X sidelink networks, meeting the stringent latency and reliability requirements [95], [1], [30] is paramount to support mission-critical applications like autonomous driving, vehicle-to-vehicle (V2V) communication, and vehicle-to-infrastructure (V2I) communication.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [1]
The complex features of V2X services with different KPIs and functional requirements of each use case require network slicing support for V2X communication to satisfy various requirements.
“The complex features of V2X services with different KPIs and functional requirements of each use case, as described in [90], [91], require network slicing support for V2X communication to satisfy various requirements.”
From Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey (2025) · cites this paper as [91]
Cites
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
Saad, W., Bennis, M., & Chen, M. (2020) · IEEE Network · doi:10.1109/mnet.001.1900287 · Cited by 4,985 · see citing works
Rasheed, I., Hu, F., Hong, Y.-K., & Balasubramanian, B. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2973859 · Cited by 86 · see citing works
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73 · see citing works
Yang, C., Kwong, C. F., Chieng, D., Kar, P., Yau, K.-L. A., & Chen, Y. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3440033 · Cited by 33 · see citing works
Leveraging 3GPP Features and Optimization Techniques for 5G NR-V2X Resource Allocation: A Survey
Bin Ali Wael, C., Hadj Dogheche, E., Armi, N., Subekti, A., & Dayoub, I. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3584024 · Cited by 10 · see citing works
“The complex features of V2X services with different KPIs and functional requirements of each use case, as described in [90], [91], require network slicing support for V2X communication to satisfy various requirements.”
Self-citation
- Authors
- Alalewi, A., Dayoub, I., & Cherkaoui, S.
- Affiliations
- CNRS, ISEN, Centrale Lille, UMR 8520, Département d’Opto-Acousto-Électronique (DOAE), Institut d’Électronique de Microélectronique et de Nanotechnologie (IEMN), Université de Lille, Université Polytechnique Hauts-de-France, Valenciennes, France
- Centre National de la Recherche Scientifique (FR)
- Université de Sherbrooke (CA)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 107710-107737
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3186285124
- Cited by
- 207
- References
- 2
- Citations by year
- 2026: 27 · 2025: 43 · 2024: 54 · 2023: 43 · 2022: 33 · 2021: 7
- FWCI
- 10.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Funders
- National Program for the Urgent Aid and Reception of Scientists in Exile (PAUSE Program) through the Collège de France
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- 5G, vehicle-to-everything communication, vehicular networks, 5G use cases, network slicing, edge computing, cloud computing, network virtualization, network security, privacy, interoperability, autonomous vehicles, road safety
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