NWDAF habilitando Inteligência Artificial em operações de busca e salvamento assistidas por VANTs
Abstract
Unmanned Aerial Vehicles (UAVs) are increasingly used for different purposes. Recent advances have made it possible to explore new applications. This article explores a context of using UAVs as part of the communication infrastructure, through the use of Artificial intelligence (AI), under an infrastructure of 6th Generation Networks. In addition, this article introduces a Virtualized Network Function (VNF) Network Data Analytics Function (NWDAF) as enabling element for Inteligência Artificial (IA) in communication networks.
References
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3GPP-TR22.829 (2019-09). Technical Specification Group Services and System Aspects; Enhancement for Unmanned Aerial Vehicles; Technical Report Stage 1 (Release 17). Technical report, 3rd Generation Partnership Project (3GPP).
Alsaeedy, A. A. R. and Chong, E. K. P. (2020). 5G and UAVs for Mission-Critical Communications: Swift Network Recovery for Search-and-Rescue Operations. Mobile Networks and Applications, 25(5):2063–2081.
Cardoso, K. V. et al. (2020). A softwarized perspective of the 5G networks.
D’Aria, G. et al. (2021). Expanded 6G vision, use cases and societal values – including aspects of sustainability, security and spectrum. Technical report, Hexa-X Project.
Fattore, U., Liebsch, M., and Bernardos, C. J. (2020). UPFlight: An enabler for Avionic MEC in a drone-extended 5G mobile network. In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), pages 1–7.
Fotouhi, A. et al. (2019). Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges. IEEE Communications Surveys Tutorials, 21(4):3417–3442.
Institute, E. T. S. (2020). Architecture enhancements for 5G System (5GS) to support network data analytics services. Technical report, European Telecommunications Standard Institute (ETSI).
Kosmerl, J. and Vilhar, A. (2014). Base stations placement optimization in wireless In 2014 IEEE International Conference networks for emergency communications. on Communications Workshops (ICC), pages 200–205.
Moradi, M. et al. (2019). Skycore: Moving Core to the Edge For Untethered and Reliable UAV-Based LTE Networks. GetMobile: Mobile Computing and Communications, 23(1):24–29.
Roldan, J. M. and Ordoñez, F. (2019). ITU Guidelines for National Emergency Telecommunication Plans; ITU-D Emergency Telecommunications – Disaster Response. Technical report, International Telecommunication Union (ITU).
Sevgican, S. et al. (2020). Intelligent network data analytics function in 5G celluJournal of Communications and Networks, lar networks using machine learning. 22(3):269–280.
Published
2021-08-16
How to Cite
MACEDO, Ciro J. A.; ROMUALDO, Hudson P.; BOTH, Cristiano B.; OLIVEIRA-JR, Antonio; CARDOSO, Kleber V..
NWDAF habilitando Inteligência Artificial em operações de busca e salvamento assistidas por VANTs. In: WORKSHOP DE REDES 6G (W6G), 1. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 13-18.
DOI: https://doi.org/10.5753/w6g.2021.17229.
