LAPSE:2023.34633
Published Article
LAPSE:2023.34633
Mobile Networks’ Support for Large-Scale UAV Services
April 27, 2023
The services based on Unmanned Aerial Vehicles (UAVs) have started to be used in many countries but not on a large scale yet. The paper describes the present status of UAV services and a concept of a solution for large-scale deployment of safe and reliable UAV services that use the 5G network for communication with UAVs. Based on the Standards Developing Organizations and related industry fora activities, unmanned traffic and airspace regulations, especially the commonly supported concept of Unmanned Aircraft Systems Traffic Management (UTM), UAV-related communication requirements and 5G System (5GS) features, we have developed an alternative approach to the integration of UAV and 5GS. The proposed concept includes a set of enablers that can be provided by Mobile Network Operators in order to not only support but also leverage UAV services. As work on many items is still in progress, we identify a list of open issues and challenges and present them at the end of the paper with the main focus on the MNO−UTM provider relationship and safe flights.
Keywords
5G, business architecture, business model, drone, network slicing, U-space, UAS, UAV, UTM
Subject
Suggested Citation
Tomaszewski L, Kołakowski R, Dybiec P, Kukliński S. Mobile Networks’ Support for Large-Scale UAV Services. (2023). LAPSE:2023.34633
Author Affiliations
Tomaszewski L: Orange Polska, 02-326 Warsaw, Poland [ORCID]
Kołakowski R: Orange Polska, 02-326 Warsaw, Poland; Division of Cybersecurity, Institute of Telecommunications, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-661 Warsaw, Poland [ORCID]
Dybiec P: Droneradar, 01-934 Warsaw, Poland
Kukliński S: Orange Polska, 02-326 Warsaw, Poland; Division of Cybersecurity, Institute of Telecommunications, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-661 Warsaw, Poland [ORCID]
Journal Name
Energies
Volume
15
Issue
14
First Page
4974
Year
2022
Publication Date
2022-07-07
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15144974, Publication Type: Journal Article
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LAPSE:2023.34633
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doi:10.3390/en15144974
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Apr 27, 2023
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CC BY 4.0
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Apr 27, 2023
 
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