Reinforcement Learning for Resource Allocation in Steerable Laser-Based Optical Wireless Systems

Elgamal, AS, Alsulami, OZ orcid.org/0000-0002-2096-307X, Qidan, AA et al. (2 more authors) (2021) Reinforcement Learning for Resource Allocation in Steerable Laser-Based Optical Wireless Systems. In: 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 12-17 Sep 2021, Ontario, Canada. IEEE ISBN 978-1-6654-4865-9

Abstract

Metadata

Item Type: Proceedings Paper
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: VCSEL , OWC , resource allocation , MILP , reinforcement learning
Dates:
  • Published: 12 September 2021
  • Published (online): 26 October 2021
  • Accepted: 29 August 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:
Funder
Grant 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 14:08
Last Modified: 08 Dec 2021 01:32
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ccece53047.2021.9569123
Open Archives Initiative ID (OAI ID):

Export

Statistics