Sensors 2018, 18(12), 4435; https://doi.org/10.3390/s18124435
Slicing on the Road: Enabling the Automotive Vertical through 5G Network Softwarization
Claudia Campolo 1
, Ramon Dos Reis Fontes 2, Antonella Molinaro 1,*
, Christian Esteve Rothenberg 2 and Antonio Iera 1
, Ramon Dos Reis Fontes 2, Antonella Molinaro 1,*
, Christian Esteve Rothenberg 2 and Antonio Iera 1
1
Dipartimento DIIES, Università Mediterranea di Reggio Calabria, Via Graziella, Loc. Feo di Vito, 89122 Reggio Calabria, Italy
2
School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas 13083-872, Brazil
*
Author to whom correspondence should be addressed.
Received: 15 October 2018 / Revised: 7 December 2018 / Accepted: 11 December 2018 / Published: 14 December 2018
(This article belongs to the Special Issue Enhances in V2X Communications for Connected Autonomous Vehicles)
Abstract
The demanding requirements of Vehicle-to-Everything (V2X) applications, such as ultra-low latency, high-bandwidth, highly-reliable communication, intensive computation and near-real time data processing, raise outstanding challenges and opportunities for fifth generation (5G) systems. By allowing an operator to flexibly provide dedicated logical networks with (virtualized) functionalities over a common physical infrastructure, network slicing candidates itself as a prominent solution to support V2X over upcoming programmable and softwarized 5G systems in a business-agile manner. In this paper, a network slicing framework is proposed along with relevant building blocks and mechanisms to support V2X applications by flexibly orchestrating multi-access and edge-dominated 5G network infrastructures, especially with reference to roaming scenarios. Proof of concept experiments using the Mininet emulator showcase the viability and potential benefits of the proposed framework for cooperative driving use cases. View Full-Text
Figure 1
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Campolo, C.; Dos Reis Fontes, R.; Molinaro, A.; Esteve Rothenberg, C.; Iera, A. Slicing on the Road: Enabling the Automotive Vertical through 5G Network Softwarization. Sensors 2018, 18, 4435.
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