Use Cases, Requirements, and Design Considerations for 5G V2X
Mate Boban, Apostolos Kousaridas, Konstantinos Manolakis, Joseph, Eichinger, Wen Xu

TL;DR
This paper analyzes the requirements and design considerations for 5G V2X communication systems, aiming to enable accident-free automated driving through diverse use cases and integrated communication technologies.
Contribution
It identifies gaps in current technologies, proposes a system design for 5G V2X, and discusses an architecture incorporating multiple communication methods for enhanced vehicular connectivity.
Findings
Comparison of use case requirements with existing technologies
Identification of gaps in current V2X communication capabilities
Proposed architecture integrating diverse communication technologies
Abstract
Ultimate goal of next generation Vehicle-to-everything (V2X) communication systems is enabling accident-free cooperative automated driving that uses the available roadway efficiently. To achieve this goal, the communication system will need to enable a diverse set of use cases, each with a specific set of requirements. We discuss the main use case categories, analyze their requirements, and compare them against the capabilities of currently available communication technologies. Based on the analysis, we identify a gap and point out towards possible system design for 5G V2X that could close the gap. Furthermore, we discuss an architecture of the 5G V2X radio access network that incorporates diverse communication technologies, including current and cellular systems in centimeter wave and millimeter wave, IEEE 802.11p and vehicular visible light communications. Finally, we discuss the role…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Power Line Communications and Noise · Advanced MIMO Systems Optimization
