Saeed, SOM orcid.org/0000-0002-0828-7160, Mohamed, SH orcid.org/0000-0002-6234-1906, Alsulami, OZ orcid.org/0000-0002-2096-307X et al. (2 more authors) (2019) Optimized Resource Allocation in Multi-user WDM VLC Systems. In: 2019 21st International Conference on Transparent Optical Networks (ICTON). 21st International Conference of Transparent Optical Networks, 09-13 Jul 2019, Angers, France. IEEE ISBN 978-1-7281-2779-8
Abstract
In this paper, we address the optimization of wavelength resource allocation in multi-user WDM Visible Light Communication (VLC) systems. A Mixed Integer Linear Programming (MILP) model that maximizes the sum of Signal-to-Interference-plus-Noise-Ratio (SINR) for all users is utilized. The results show that optimizing the wavelength allocation in multi-user WDM VLC systems can reduce the impact of the interference and improve the system throughput in terms of the sum of data rates for up to 7 users.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2019 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 (VLC), resource allocation, Mixed Integer Linear Programming (MILP), Signal-to-Interference-plus-Noise-Ratio (SINR), On-Off Keying (OOK), Wavelength Division Multiplexing (WDM), Poisson Point Process (PPP) |
Dates: |
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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 EP/S016570/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 May 2019 12:49 |
Last Modified: | 05 Nov 2019 14:58 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICTON.2019.8840439 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145793 |