Multi-Radio 5G Architecture for Connected and Autonomous Vehicles: Application and Design Insights
Ioannis Mavromatis, Andrea Tassi, Giovanni Rigazzi, Robert J., Piechocki, Andrew Nix

TL;DR
This paper proposes a novel multi-radio 5G architecture for connected and autonomous vehicles, addressing dynamic network challenges and enabling multi-layer applications over various RATs to improve ITS performance.
Contribution
It introduces a new architecture paradigm that supports multi-RATs and provides a smart configuration interface for enhanced CAV communication.
Findings
Supports multi-layer applications over multiple RATs
Provides a smart configuration interface for performance optimization
Addresses dynamic network topology challenges
Abstract
Connected and Autonomous Vehicles (CAVs) will play a crucial role in next-generation Cooperative Intelligent Transportation Systems (C-ITSs). Not only is the information exchange fundamental to improve road safety and efficiency, but it also paves the way to a wide spectrum of advanced ITS applications enhancing efficiency, mobility and accessibility. Highly dynamic network topologies and unpredictable wireless channel conditions entail numerous design challenges and open questions. In this paper, we address the beneficial interactions between CAVs and an ITS and propose a novel architecture design paradigm. Our solution can accommodate multi-layer applications over multiple Radio Access Technologies (RATs) and provide a smart configuration interface for enhancing the performance of each RAT.
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