Easy to Deploy UAV-based Non-Public Open-Source 5G Network
In today’s rapidly evolving network world, there is a growing demand to provide and improve network connectivity in every corner. To meet these challenges, a promising solution is the use of UAV (Unmanned Aerial Vehicle) - Base Stations (BSs), where UAVs equipped with a BS are used to extend the connectivity of cellular networks. This work studies the potential of an easy-to-deploy UAV-operated BS, discussing the role of wireless backhaul solutions and the integration of open-source non-public 5G networks in two use case scenarios with limited network coverage. In this research, the potential of using UAVs to carry 5G radio access nodes is explored, aiming for a flexible on-demand network. This paper presents a study on potential wireless solutions to be used on the backhaul, followed by a system description on how to deploy an easy and on-demand UAV-based open-source 5G network, through a Wi-Fi and satellite backhauling. A proof-of-concept solution is evaluated, and the results show that this approach is feasible to provide internet connectivity to users through a 5G mobile base station in the UAV, connected through Wi-Fi or satellite backhauling. The evaluation of different technologies’ modes and configurations show how they can be tuned to the scenarios and target services.
Authors
- Susana Sargento (ORCID: https://orcid.org/0000-0001-8761-8281)
- Miguel Luís (ORCID: https://orcid.org/0000-0003-3488-2462)
- Pedro Rito
- Arnaldo S. R. Oliveira (ORCID: https://orcid.org/0000-0002-8759-3456)
- Marco Araújo (ORCID: https://orcid.org/0000-0002-0795-9981)
- Pedro Valente (ORCID: https://orcid.org/0000-0001-5619-0075)
- Alexandre Teixeira (ORCID: https://orcid.org/0000-0003-2493-6041)
- Duarte Raposo
Institutions
- Instituto de Telecomunicações (PT)
- University of Aveiro (PT)
Publication Details
- Published
- 2024-10-02
- DOI
- https://doi.org/10.1109/nof62948.2024.10741385
- Citations
- 2
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.60