ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks

Shinde, S.S., Naseh, D. orcid.org/0009-0006-0767-7622 and Tarchi, D. (2025) ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks. In: 2024 IEEE Globecom Workshops (GC Wkshps). 2024 IEEE Globecom Workshops (GC Wkshps), 08-12 Dec 2024, Cape Town, South Africa. . Institute of Electrical and Electronics Engineers (IEEE). ISBN: 979-8-3315-0568-4. ISSN: 2166-0069. EISSN: 2166-0077.

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Item Type: Proceedings Paper
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Copyright, Publisher and Additional Information:

This is an author produced version of a proceedings paper published in 2024 IEEE Globecom Workshops (GC Wkshps), made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Non-terrestrial Networks, O-RAN, Machine Learning, Distributed Machine Learning, 6G
Dates:
  • Accepted: 15 September 2024
  • Published (online): 12 August 2025
  • Published: 12 August 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Date Deposited: 12 Jun 2026 13:16
Last Modified: 15 Jun 2026 21:31
Published Version: https://ieeexplore.ieee.org/document/11101652
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/gcwkshp64532.2024.11101652
Open Archives Initiative ID (OAI ID):

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