Digital twin modelling of open category UAV radio communications: a case study

Date

2024

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

  • AEI//RYC2021-031949-I/
  • AEI//TED2021-131716B-C21/
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127409OB-C31/ES/ recolecta
  • Gobierno de Navarra//PC109-110 NAITEST/
Impacto
Google Scholar
No disponible en Scopus

Abstract

The modeling of radio links plays a crucial role in achieving mission success of unmanned aerial vehicles (UAVs). By simulating and analyzing communication performance, operators can anticipate and address potential challenges. In this paper, we propose a full-featured UAV software-in-the-loop digital twin (SITL-DT) for a heavy-lifting hexacopter that integrates a radio link module based on an experimental path loss model for ‘Open’ category Visual Line of Sight (VLOS) conditions and drone-antenna radiation diagrams obtained via electromagnetic simulation. The main purpose of integrating and simulating a radio link is to characterize when the communication link can be conflicting due to distance, the attitude of the aircraft relative to the pilot, and other phenomena. The system architecture, including the communications module, is implemented and validated based upon experimental flight data.

Description

Keywords

Communications, Path loss, Digital twin, Simulation, Unmanned aerial vehicle

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Ingeniería Eléctrica, Electrónica y de Comunicación / Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza / Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

item.page.cita

Aláez, D., Lopez-Iturri, P., Celaya-Echarri, M., Azpilicueta, L., Falcone, F., Villadangos, J., Astrain, J. J. (2024) Digital twin modelling of open category UAV radio communications: A case study. Computer Networks. https://doi.org/10.1016/j.comnet.2024.110276.

item.page.rights

© 2024 The Author(s). This is an open access article under the CC BY-NC license.

Licencia

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