Scalable machine learning-based approaches for energy saving in densely deployed Open RAN

Liang, Xuanyu, Al-Tahmeesschi, Ahmed Abdulkareem J, Chetty, Swarna Bindu et al. (3 more authors) (2026) Scalable machine learning-based approaches for energy saving in densely deployed Open RAN. IEEE Transactions on Green Communications and Networking. pp. 2710-2722. ISSN: 2473-2400

Metadata

Item Type: Article
Authors/Creators:
  • Liang, Xuanyu (xuanyu.liang@york.ac.uk)
  • Al-Tahmeesschi, Ahmed Abdulkareem J (skn530@york.ac.uk)
  • Chetty, Swarna Bindu (swarna.chetty@york.ac.uk)
  • Cavdar, Cicek
  • Canberk, Berk
  • AHMADI, HAMED ORCID logo https://orcid.org/0000-0001-5508-8757
Copyright, Publisher and Additional Information:

This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.

Dates:
  • Accepted: 23 March 2026
  • Published: 20 April 2026
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:
Funder
Grant number
EPSRC
R84307/CN028
EPSRC
TBC
Date Deposited: 15 Apr 2026 10:00
Last Modified: 16 Jun 2026 23:29
Published Version: https://doi.org/10.1109/TGCN.2026.3679951
Status: Published
Refereed: Yes
Identification Number: 10.1109/TGCN.2026.3679951
Open Archives Initiative ID (OAI ID):

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Filename: 2604.00201v1.pdf

Description: Accepted manuscript

Licence: CC-BY 2.5

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