Investigating the applicability of LTE-M for Network Identification of Unmanned Aerial Systems in U-Space

Jes Hundevadt Jepsen*, August Ravn Mader, Troels Dupont Andreasen, Radheshyam Singh, Kjeld Jensen

*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

Unmanned Aerial System (UAS) Traffic Management (UTM) is a key enabler for unleashing the full potential of the UAS technology. Europe is currently in the progress of implementing the initial services of the U-Space framework, the European Union (EU) version of UTM. With the Commission Implementing Regulation (EU) 2021/664 now in force, defining the regulatory framework for U-Space, the establishment of U-spaces in EU will soon be a reality in some countries.In this paper, a stand-alone component, named DroneID5G, is designed to comply with the Network Identification (ID) service specified in 2021/664. The Drone5GID is capable of providing the Remote ID of a UAS to the national Common Information Service Provider using LTE for Machine Type Communication (LTE-M) technology. A custom protocol, based on the ASTM F311-19 standard, has been implemented between the DroneID5G and a USSP prototype for reducing the message size being transmitted. Additionally, Detect And Avoid (DAA) capabilities have been implemented by relaying air traffic data, obtained from the Traffic Information service specified in 2021/664, into a UAS's flight controller via the DroneID5G.We present the initial experimental results, consisting of both ground and flight measurements, for investigating the performance and reliability of LTE-M network. The RSSI, RSRP, and RSRQ values have been collected at different geographical positions and altitudes from 20 to 100 meters above the ground. The ground measurements demonstrate the handover capabilities and reliability. From the flight measurements, it can be seen that the RSRP and RSRQ values decreases in relation to the altitude. Finally, the DAA capabilities are demonstrated, enabling the UAS to automatically detect an incoming aircraft and activate its failsafe.

OriginalsprogEngelsk
Titel2023 International Conference on Unmanned Aircraft Systems (ICUAS)
ForlagIEEE
Publikationsdato2023
Sider616-625
ISBN (Elektronisk)9798350310375
DOI
StatusUdgivet - 2023
Begivenhed2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023 - Warsaw, Polen
Varighed: 6. jun. 20239. jun. 2023

Konference

Konference2023 International Conference on Unmanned Aircraft Systems, ICUAS 2023
Land/OmrådePolen
ByWarsaw
Periode06/06/202309/06/2023
NavnProceedings of International Conference on Unmanned Aircraft Systems
ISSN2575-7296

Bibliografisk note

Funding Information:
This work is part of the GENIUS project [12] funded by the Innovation Fund Denmark [51]. The authors would like to thank Anas Mohamad Al Shalyan, who designed and developed the DroneID5G hardware, and UAS Denmark [49], the Danish National UAS Test Center, at Hans Christian Andersen Airport for providing testing facilities for development and test flights.

Publisher Copyright:
© 2023 IEEE.

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