Trajectories and Resource Management of Flying Base Stations for C-V2X
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, b...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/19/4/811 |
| _version_ | 1817991971583557632 |
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| author | Silvia Mignardi Chiara Buratti Alessandro Bazzi Roberto Verdone |
| author_facet | Silvia Mignardi Chiara Buratti Alessandro Bazzi Roberto Verdone |
| author_sort | Silvia Mignardi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T01:20:20Z |
| format | Article |
| id | doaj.art-18f6c5eab25547aaa03f07ce0ea2260a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:20:20Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-18f6c5eab25547aaa03f07ce0ea2260a2022-12-22T02:20:39ZengMDPI AGSensors1424-82202019-02-0119481110.3390/s19040811s19040811Trajectories and Resource Management of Flying Base Stations for C-V2XSilvia Mignardi0Chiara Buratti1Alessandro Bazzi2Roberto Verdone3Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyDepartment of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyNational Research Council of Italy (CNR), Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), v.le Risorgimento, 2, 40136 Bologna, ItalyDepartment of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI), University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyIn 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.https://www.mdpi.com/1424-8220/19/4/811cellular-vehicle-to-anythingunmanned aerial vehiclesmobile radio networkconnected vehicles |
| spellingShingle | Silvia Mignardi Chiara Buratti Alessandro Bazzi Roberto Verdone Trajectories and Resource Management of Flying Base Stations for C-V2X Sensors cellular-vehicle-to-anything unmanned aerial vehicles mobile radio network connected vehicles |
| title | Trajectories and Resource Management of Flying Base Stations for C-V2X |
| title_full | Trajectories and Resource Management of Flying Base Stations for C-V2X |
| title_fullStr | Trajectories and Resource Management of Flying Base Stations for C-V2X |
| title_full_unstemmed | Trajectories and Resource Management of Flying Base Stations for C-V2X |
| title_short | Trajectories and Resource Management of Flying Base Stations for C-V2X |
| title_sort | trajectories and resource management of flying base stations for c v2x |
| topic | cellular-vehicle-to-anything unmanned aerial vehicles mobile radio network connected vehicles |
| url | https://www.mdpi.com/1424-8220/19/4/811 |
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