Q-learning algorithm for resource allocation in WDMA-based optical wireless communication networks

Elgamal, AS, Alsulami, OZ orcid.org/0000-0002-2096-307X, Qidan, AA et al. (2 more authors) (2021) Q-learning algorithm for resource allocation in WDMA-based optical wireless communication networks. In: 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech). 2021 6th International Conference on Smart and Sustainable Technologies (SpliTech), 08-11 Sep 2021, Bol and Split, Croatia. IEEE . ISBN 978-1-6654-4202-2

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 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: Visible light communication , resource allocation , MILP , reinforcement learning
Dates:
  • Published (online): 22 October 2021
  • Published: 8 September 2021
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)
Funding Information:
FunderGrant number
EPSRC (Engineering and Physical Sciences Research Council)EP/H040536/1
EPSRC (Engineering and Physical Sciences Research Council)EP/K016873/1
EPSRC (Engineering and Physical Sciences Research Council)EP/S016570/1
Depositing User: Symplectic Publications
Date Deposited: 24 Nov 2021 13:56
Last Modified: 24 Nov 2021 13:56
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.23919/splitech52315.2021.9566383

Export

Statistics