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Energy-Efficient and Accelerated Resource Allocation in O-RAN Slicing Using Deep Reinforcement Learning and Transfer Learning Cover

Energy-Efficient and Accelerated Resource Allocation in O-RAN Slicing Using Deep Reinforcement Learning and Transfer Learning

Cybernetics and Information Technologies
Volume 24 (2024): Issue 3 (September 2024)
By: Heba Sherif,  Eman Ahmed and  Amira M. Kotb  
Open Access
|Sep 2024
Authors

Authors

Heba Sherif

heba.sherif@fci-cu.edu.eg

Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt

Eman Ahmed

e.ahmed@fci-cu.edu.eg

Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt

Amira M. Kotb

a.kotb@fci-cu.edu.eg

Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt
DOI: https://doi.org/10.2478/cait-2024-0029 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 132 - 150
Submitted on: Jul 20, 2024
Accepted on: Aug 29, 2024
Published on: Sep 19, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
O-RAN,
6G,
Radio resource management,
Deep reinforcement learning,
Transfer learning
Related subjects:
Computer sciences,
Information technology

© 2024 Heba Sherif, Eman Ahmed, Amira M. Kotb, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 24 (2024): Issue 3 (September 2024)
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