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Open AccessFeature PaperArticle

Trajectories and Resource Management of Flying Base Stations for C-V2X

1
Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
2
National Research Council of Italy (CNR), Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), v.le Risorgimento, 2, 40136 Bologna, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(4), 811; https://doi.org/10.3390/s19040811
Received: 18 January 2019 / Revised: 8 February 2019 / Accepted: 13 February 2019 / Published: 16 February 2019
(This article belongs to the Special Issue Enhances in V2X Communications for Connected Autonomous Vehicles)
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PDF [576 KB, uploaded 16 February 2019]
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Abstract

In a vehicular scenario where the penetration of cars equipped with wireless communication devices is far from 100% and application requirements tend to be challenging for a cellular network not specifically planned for it, the use of unmanned aerial vehicles (UAVs), carrying mobile base stations, becomes an interesting option. In this article, we consider a cellular-vehicle-to-anything (C-V2X) application and we propose the integration of an aerial and a terrestrial component of the network, to fill the potential unavailability of short-range connections among vehicles and address unpredictable traffic distribution in space and time. In particular, we envision a UAV with C-V2X equipment providing service for the extended sensing application, and we propose a UAV trajectory design accounting for the radio resource (RR) assignment. The system is tested considering a realistic scenario by varying the RRs availability and the number of active vehicles. Simulations show the results in terms of gain in throughput and percentage of served users, with respect to the case in which the UAV is not present. View Full-Text
Keywords: cellular-vehicle-to-anything; unmanned aerial vehicles; mobile radio network; connected vehicles cellular-vehicle-to-anything; unmanned aerial vehicles; mobile radio network; connected vehicles
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Mignardi, S.; Buratti, C.; Bazzi, A.; Verdone, R. Trajectories and Resource Management of Flying Base Stations for C-V2X. Sensors 2019, 19, 811.

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