Energy Efficient Bandwidth Allocation and Routing in Electromagnetic Nano-Networks via Reinforcement Learning

Alshorbaji, M.A., Lawey, A. and Zaidi, S.A.R. (2024) Energy Efficient Bandwidth Allocation and Routing in Electromagnetic Nano-Networks via Reinforcement Learning. In: 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM). 11th International Conference on Wireless Networks and Mobile Communications, 23-25 Jul 2024, Leeds, UK. IEEE ISBN 979-8-3503-7787-3

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Alshorbaji, M.A.
  • Lawey, A.
  • Zaidi, S.A.R.
Copyright, Publisher and Additional Information:

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords: Electromagnetic Nano-Networks, Reinforcement Learning, Q-Learning, Multi-hop Routing, Bandwidth Allocation, Energy Efficiency
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)
Depositing User: Symplectic Publications
Date Deposited: 17 Jul 2024 08:40
Last Modified: 20 Sep 2024 14:08
Published Version: https://ieeexplore.ieee.org/document/10658288
Status: Published
Publisher: IEEE
Identification Number: 10.1109/WINCOM62286.2024.10658288
Open Archives Initiative ID (OAI ID):

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