In this paper, we propose a Radio Access Network (RAN) slicing mechanism for mission-critical services in the context of location-aware Vehicle to Infrastructure (V2I) communications. In particular, the available location information is used to design an ad-hoc wireless network with both inter and intra-slice radio isolation obtained through the reservation of bandwidth (BW) resources. In this general setting, a particular emphasis is given to the use case of autonomous driving for Lightrails and Tramways systems. We assess the effectiveness of the proposed mechanism for guaranteeing isolation and for providing the required Quality of Service (QoS) through simulations. In order to evaluate realistic and reference scenario settings, we leverage a customized version of the system-level 5G-air-simulator.

Tamang, D., Martiradonna, S., Abrardo, A., Mando, G., Roncella, G., & Boggia, G. (2021). Architecting 5G RAN slicing for location aware vehicle to infrastructure communications: The Autonomous Tram use case. COMPUTER NETWORKS, 200 [10.1016/j.comnet.2021.108501].

Architecting 5G RAN slicing for location aware vehicle to infrastructure communications: The Autonomous Tram use case

Tamang D.;Abrardo A.
;
2021

Abstract

In this paper, we propose a Radio Access Network (RAN) slicing mechanism for mission-critical services in the context of location-aware Vehicle to Infrastructure (V2I) communications. In particular, the available location information is used to design an ad-hoc wireless network with both inter and intra-slice radio isolation obtained through the reservation of bandwidth (BW) resources. In this general setting, a particular emphasis is given to the use case of autonomous driving for Lightrails and Tramways systems. We assess the effectiveness of the proposed mechanism for guaranteeing isolation and for providing the required Quality of Service (QoS) through simulations. In order to evaluate realistic and reference scenario settings, we leverage a customized version of the system-level 5G-air-simulator.
Tamang, D., Martiradonna, S., Abrardo, A., Mando, G., Roncella, G., & Boggia, G. (2021). Architecting 5G RAN slicing for location aware vehicle to infrastructure communications: The Autonomous Tram use case. COMPUTER NETWORKS, 200 [10.1016/j.comnet.2021.108501].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11365/1175883