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Field Trial for Enhanced V2X Multi-RAT Handover in Autonomous Vehicle Networks

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Résumé

To enhance road safety and traffic fluidity, vehicles need to communicate amongst themselves and transfer large amounts of data to the infrastructure with extremely low latencies, through access points deployed closely to the road. However, in obstacle-heavy scenarios, latency increases when devices shift coverage areas. Though networks are heterogeneous by nature in the smart city era, very few mechanisms are provided in connected vehicles for multiple Radio Access Technology (multi-RAT) selection. We thus present a networking approach to improve link stability, exploiting mobile and V2X technologies: LTE, 5G, Cellular-V2X, DSRC. Unlike opportunistic handover schemes taking advantage of Device-to-Device (D2D) communications when coverage is detected, we develop a proactive scheme leveraging the performance of received packets, to avoid link failure against pathloss and shadowing. An autonomous shuttle roams the playground, filling grids associating positions with QoS indicators. The grids then provide knowledge on RAT performance to incoming vehicles, facilitating selection according to position. Experimental studies show high performance of DSRC in short range, line-of-sight situations, while C-V2X offers up to 60% longer D2D ranges and more resilient coverage. Field trial analysis of our solution highlights a 27% reduction of high-latency packets, by extending V2I communications and limiting reliance on cellular connectivity.

langue originaleAnglais
titreProceedings of the 48th IEEE Conference on Local Computer Networks , LCN 2023
rédacteurs en chefEyuphan Bulut, Florian Tschorsch, Kanchana Thilakarathna
EditeurIEEE Computer Society
ISBN (Electronique)9798350300734
Les DOIs
étatPublié - 1 janv. 2023
Modification externeOui
Evénement48th IEEE Conference on Local Computer Networks , LCN 2023 - Daytona Beach, États-Unis
Durée: 2 oct. 20235 oct. 2023

Série de publications

NomProceedings - Conference on Local Computer Networks, LCN

Une conférence

Une conférence48th IEEE Conference on Local Computer Networks , LCN 2023
Pays/TerritoireÉtats-Unis
La villeDaytona Beach
période2/10/235/10/23

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