Joint Power and Flexible Numerology Allocation in 5G Networks Using Deep Reinforcement Learning

Topcu, A., Lawey, A.Q. orcid.org/0000-0003-3571-4110 and Zaidi, S.A.R. (2024) Joint Power and Flexible Numerology Allocation in 5G Networks Using Deep Reinforcement Learning. In: 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM). The 11th International Conference on Wireless Networks and Mobile Communications, 23-25 Jul 2024, Leeds, UK. IEEE ISBN 979-8-3503-7787-3

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Item Type: Proceedings Paper
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Keywords: Numerology allocation, power allocation, reinforcement learning
Dates:
  • Published: 5 September 2024
  • Published (online): 5 September 2024
  • Accepted: 7 May 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Jul 2024 09:58
Last Modified: 24 Sep 2024 08:27
Published Version: https://ieeexplore.ieee.org/document/10655993
Status: Published
Publisher: IEEE
Identification Number: 10.1109/WINCOM62286.2024.10655993
Open Archives Initiative ID (OAI ID):

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