Intent-Driven Agentic AI for Safe Energy-Efffcient Open RAN Optimization via a 5G Network-in-a-Box Digital Twin

Fan, Y. orcid.org/0000-0001-8038-7337, Salama, A., Qazzaz, M.M.H. et al. (5 more authors) (Accepted: 2026) Intent-Driven Agentic AI for Safe Energy-Efffcient Open RAN Optimization via a 5G Network-in-a-Box Digital Twin. In: 2026 IEEE International Conference on Communications Workshops (ICC Workshops). 2026 IEEE International Conference on Communications (ICC), 24 May - 28 Jun 2026, Glasgow, Scotland, UK. . IEEE. (In Press)

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Item Type: Proceedings Paper
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This is an author produced version of an conference paper accepted for publication in 2026 IEEE International Conference on Communications Workshops (ICC Workshops), 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.
Dates:
  • Accepted: 1 May 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Funding Information:
Funder
Grant number
AI Safety Institute
UKRI851
EPSRC Accounts Payable
EP/Y037421/1
Date Deposited: 18 Jun 2026 15:32
Last Modified: 18 Jun 2026 15:32
Status: In Press
Publisher: IEEE
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