Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications
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 ex...
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of the Communications Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10570308/ |
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| author | Cong T. Nguyen Yuris Mulya Saputra Nguyen Van Huynh Tan N. Nguyen Dinh Thai Hoang Diep N. Nguyen Van-Quan Pham Miroslav Voznak Symeon Chatzinotas Dinh-Hieu Tran |
| author_facet | Cong T. Nguyen Yuris Mulya Saputra Nguyen Van Huynh Tan N. Nguyen Dinh Thai Hoang Diep N. Nguyen Van-Quan Pham Miroslav Voznak Symeon Chatzinotas Dinh-Hieu Tran |
| author_sort | Cong T. Nguyen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3766f5f7f721490288152da3e9cf68f9 |
| institution | Kabale University |
| issn | 2644-125X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj-art-3766f5f7f721490288152da3e9cf68f92025-08-20T03:43:55ZengIEEEIEEE Open Journal of the Communications Society2644-125X2024-01-0153852388510.1109/OJCOMS.2024.341857410570308Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial ApplicationsCong T. Nguyen0Yuris Mulya Saputra1https://orcid.org/0000-0001-8862-2004Nguyen Van Huynh2https://orcid.org/0000-0002-7696-0521Tan N. Nguyen3https://orcid.org/0000-0002-2286-6652Dinh Thai Hoang4https://orcid.org/0000-0003-2659-8648Diep N. Nguyen5https://orcid.org/0000-0002-9528-0863Van-Quan Pham6Miroslav Voznak7https://orcid.org/0000-0001-5135-7980Symeon Chatzinotas8https://orcid.org/0000-0001-5122-0001Dinh-Hieu Tran9https://orcid.org/0000-0002-6328-3103Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City, VietnamInternet Engineering Technology, Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta, IndonesiaDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.Communication and Signal Processing Research Group, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, VietnamSchool of Electrical and Data Engineering, University of Technology Sydney, Sydney, AustraliaSchool of Electrical and Data Engineering, University of Technology Sydney, Sydney, AustraliaNokia Bell Labs, Murray Hill, NJ, USADepartment of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, CzechiaInterdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Esch-sur-Alzette, LuxembourgNokia, Boulogne-Billancourt, FranceTerrestrial 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.https://ieeexplore.ieee.org/document/10570308/NTNnetwork slicingAI/MLORANand 6G |
| spellingShingle | Cong T. Nguyen Yuris Mulya Saputra Nguyen Van Huynh Tan N. Nguyen Dinh Thai Hoang Diep N. Nguyen Van-Quan Pham Miroslav Voznak Symeon Chatzinotas Dinh-Hieu Tran Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications IEEE Open Journal of the Communications Society NTN network slicing AI/ML ORAN and 6G |
| title | Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications |
| title_full | Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications |
| title_fullStr | Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications |
| title_full_unstemmed | Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications |
| title_short | Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications |
| title_sort | emerging technologies for 6g non terrestrial networks from academia to industrial applications |
| topic | NTN network slicing AI/ML ORAN and 6G |
| url | https://ieeexplore.ieee.org/document/10570308/ |
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