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IBN-ZTSA: AI-IBN for Zero Touch Service Automation of B5G Terrestrial and Non-Terrestrial Networks

Authors
Abbas, KhizarCho, YeongpilAfaq, MuhammadNauman, AliYoo, Jae-HyoungHong, James Won-KiSong, Wang-Cheol
Issue Date
Jun-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
5G/6G; AI; IBN; Network Slicing; NTN; NWDAF; Web 3.0
Citation
IEEE Communications Standards Magazine, v.9, no.2, pp 15 - 22
Pages
8
Indexed
SCOPUS
Journal Title
IEEE Communications Standards Magazine
Volume
9
Number
2
Start Page
15
End Page
22
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208347
DOI
10.1109/MCOMSTD.2025.3568906
ISSN
2471-2825
2471-2825
Abstract
Accommodating novel and diverse services with different quality of service requirements (QoS), including Web 3.0, metaverse, AR/VR, smart industries, smart hospitals, etc., is very challenging for Beyond 5G (B5G) networks. These services require high-speed, lowlatency, and seamless connectivity. Conversely, network slicing in B5G networks is the best candidate to support these services by providing dedicated resources. However, automatically orchestrating and managing network slicing for these services is challenging. Therefore, this article presents a closed-loop and zero-touch Intent-Based Networking (IBN) architecture named IBN-ZTSA for network slice design and orchestration over multidomain infrastructure terrestrial and non- terrestrial networks (NTN). IBN-ZTSA automatically performs commissioning, activating, monitoring, and decommissioning end-to-end (e2e) slices. Moreover, we have integrated an Artificial Intelligence (AI) empowered network data analytics mechanism with IBN to enable network intelligence for proactive management and control. Finally, we performed several experiments by creating end-to-end (e2e) slices through the IBN-ZTSA mechanism, which shows satisfactory performance in automated service provisioning, resource allocation, and resource management.
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