Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications

Nguyen, CT; Saputra, YM; Huynh, NV; Nguyen, TN; Hoang, DT; Nguyen, DN; Pham, VQ; Voznak, M; Chatzinotas, S; Tran, DH

Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications

Nguyen, CT Saputra, YM Huynh, NV Nguyen, TN Hoang, DT Nguyen, DN Pham, VQ Voznak, M Chatzinotas, S Tran, DH

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Open Journal of the Communications Society, 2024, 5, (99), pp. 3852-3885
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Nguyen, CT
dc.contributor.author	Saputra, YM
dc.contributor.author	Huynh, NV
dc.contributor.author	Nguyen, TN
dc.contributor.author	Hoang, DT
dc.contributor.author	Nguyen, DN
dc.contributor.author	Pham, VQ
dc.contributor.author	Voznak, M
dc.contributor.author	Chatzinotas, S
dc.contributor.author	Tran, DH
dc.date.accessioned	2024-08-07T05:54:10Z
dc.date.available	2024-08-07T05:54:10Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Open Journal of the Communications Society, 2024, 5, (99), pp. 3852-3885
dc.identifier.issn	2644-125X
dc.identifier.issn	2644-125X
dc.identifier.uri	http://hdl.handle.net/10453/180365
dc.description.abstract	Terrestrial networks form the fundamental infrastructure of modern communication systems, serving more than 4 billion users globally. However, terrestrial networks are facing a wide range of challenges, from coverage and reliability to interference and congestion. As the demands of the 6G era are expected to be much higher, it is crucial to address these challenges to ensure a robust and efficient communication infrastructure for the future. To address these problems, Non-terrestrial Network (NTN) has emerged to be a promising solution. NTNs are communication networks that leverage airborne (e.g., unmanned aerial vehicles) and spaceborne vehicles (e.g., satellites) to facilitate ultra-reliable communications and connectivity with high data rates and low latency over expansive regions. This article aims to provide a comprehensive survey on the utilization of network slicing, Artificial Intelligence/Machine Learning (AI/ML), and Open Radio Access Network (ORAN) to address diverse challenges of NTNs from the perspectives of both academia and industry. Particularly, we first provide an in-depth tutorial on NTN and the key enabling technologies including network slicing, AI/ML, and ORAN. Then, we provide a comprehensive survey on how network slicing and AI/ML have been leveraged to overcome the challenges that NTNs are facing. Moreover, we present how ORAN can be utilized for NTNs. Finally, we highlight important challenges, open issues, and future research directions of NTN in the 6G era.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Open Journal of the Communications Society
dc.relation.isbasedon	10.1109/OJCOMS.2024.3418574
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject.classification	4006 Communications engineering
dc.title	Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications
dc.type	Journal Article
utslib.citation.volume	5
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Global Big Data Technologies Research Centre (GBDTC)
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-07T05:54:05Z
pubs.issue	99
pubs.publication-status	Published
pubs.volume	5
utslib.citation.issue	99

Abstract:

Terrestrial networks form the fundamental infrastructure of modern communication systems, serving more than 4 billion users globally. However, terrestrial networks are facing a wide range of challenges, from coverage and reliability to interference and congestion. As the demands of the 6G era are expected to be much higher, it is crucial to address these challenges to ensure a robust and efficient communication infrastructure for the future. To address these problems, Non-terrestrial Network (NTN) has emerged to be a promising solution. NTNs are communication networks that leverage airborne (e.g., unmanned aerial vehicles) and spaceborne vehicles (e.g., satellites) to facilitate ultra-reliable communications and connectivity with high data rates and low latency over expansive regions. This article aims to provide a comprehensive survey on the utilization of network slicing, Artificial Intelligence/Machine Learning (AI/ML), and Open Radio Access Network (ORAN) to address diverse challenges of NTNs from the perspectives of both academia and industry. Particularly, we first provide an in-depth tutorial on NTN and the key enabling technologies including network slicing, AI/ML, and ORAN. Then, we provide a comprehensive survey on how network slicing and AI/ML have been leveraged to overcome the challenges that NTNs are facing. Moreover, we present how ORAN can be utilized for NTNs. Finally, we highlight important challenges, open issues, and future research directions of NTN in the 6G era.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180365