NWDAF habilitando Inteligência Artificial em operações de busca e salvamento assistidas por VANTs
Resumo
Veículos Aéreos não Tripulados (VANTs) são cada vez mais utilizados para diferentes propósitos. Os recentes avanços tem possibilitado a exploração de novas aplicações. Este artigo explora um contexto de utilização de VANTs como parte da infraestrutura de comunicação, através da utilização de IA, sob uma infraestrutura de redes de 6º Geração (6G). Além disso, esse artigo introduz a função de rede virtualizada NWDAF como elemento habilitador para IA em redes de comunicação.
Referências
3GPP-TR21.915 (2018-12). Technical Specification Group Services and System Aspects; Release 15 Description. Technical report, 3rd Generation Partnership Project (3GPP). Version 0.5.0.
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.
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.
Publicado
16/08/2021
Como Citar
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.
