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Title Field Trial For Enhanced V2X Multi-Rat Handover In Autonomous Vehicle Networks
ID_Doc 26467
Authors Bréhon-Grataloup L.; Kacimi R.; Beylot A.-L.
Year 2023
Published Proceedings - Conference on Local Computer Networks, LCN
DOI http://dx.doi.org/10.1109/LCN58197.2023.10223342
Abstract 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. © 2023 IEEE.
Author Keywords 802.11p; C-V2X; Connected autonomous vehicles; Field trial; Handover; MEC


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