Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions

Optical channel decorrelation is a key aspect in designing a multi-user visible light communication system. As light-emitting diodes (LEDs) are commonly used for illumination and data transmission in such a system simultaneously, the interference between them is a major problem for suitable modulati...

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Autores principales: Adrian Krohn, Stephan Pachnicke, Peter Hoeher
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Lenguaje:EN
Publicado: IEEE 2022
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Acceso en línea:https://doaj.org/article/8abc2f6eddb648c989a526bb95d0f357
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spelling oai:doaj.org-article:8abc2f6eddb648c989a526bb95d0f3572021-11-23T00:00:32ZGenetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions1943-065510.1109/JPHOT.2021.3126211https://doaj.org/article/8abc2f6eddb648c989a526bb95d0f3572022-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9609592/https://doaj.org/toc/1943-0655Optical channel decorrelation is a key aspect in designing a multi-user visible light communication system. As light-emitting diodes (LEDs) are commonly used for illumination and data transmission in such a system simultaneously, the interference between them is a major problem for suitable modulation schemes. We have proposed to position liquid-crystal (LC) matrix elements in front of the receivers in order to block unwanted light – so effectively acting as filter and reducing the interference. To do so, the appropriate pixels of the LC filter are switched either to a transmissive state or to an opaque state. The selection of the correct pixel patterns is a high-order optimization problem, which makes it challenging for classic algorithms. In this paper, we suggest applying a genetic optimization to find suitable pixel patterns. We combine this kind of receiver-side optimization with conventional convex precoding at the transmitter side in an iterative manner. The overall optimization goal is to maximize the sum rate over all users. To prove the effectiveness, we use a numeric ray-tracing simulation with different settings. Also we analyze the impact of the main parameters for the genetic algorithm.Adrian KrohnStephan PachnickePeter HoeherIEEEarticleVisible light communicationoptical communicationfree-space optical communicationmultiple-input multiple-outputApplied optics. PhotonicsTA1501-1820Optics. LightQC350-467ENIEEE Photonics Journal, Vol 14, Iss 1, Pp 1-5 (2022)
institution DOAJ
collection DOAJ
language EN
topic Visible light communication
optical communication
free-space optical communication
multiple-input multiple-output
Applied optics. Photonics
TA1501-1820
Optics. Light
QC350-467
spellingShingle Visible light communication
optical communication
free-space optical communication
multiple-input multiple-output
Applied optics. Photonics
TA1501-1820
Optics. Light
QC350-467
Adrian Krohn
Stephan Pachnicke
Peter Hoeher
Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
description Optical channel decorrelation is a key aspect in designing a multi-user visible light communication system. As light-emitting diodes (LEDs) are commonly used for illumination and data transmission in such a system simultaneously, the interference between them is a major problem for suitable modulation schemes. We have proposed to position liquid-crystal (LC) matrix elements in front of the receivers in order to block unwanted light – so effectively acting as filter and reducing the interference. To do so, the appropriate pixels of the LC filter are switched either to a transmissive state or to an opaque state. The selection of the correct pixel patterns is a high-order optimization problem, which makes it challenging for classic algorithms. In this paper, we suggest applying a genetic optimization to find suitable pixel patterns. We combine this kind of receiver-side optimization with conventional convex precoding at the transmitter side in an iterative manner. The overall optimization goal is to maximize the sum rate over all users. To prove the effectiveness, we use a numeric ray-tracing simulation with different settings. Also we analyze the impact of the main parameters for the genetic algorithm.
format article
author Adrian Krohn
Stephan Pachnicke
Peter Hoeher
author_facet Adrian Krohn
Stephan Pachnicke
Peter Hoeher
author_sort Adrian Krohn
title Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
title_short Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
title_full Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
title_fullStr Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
title_full_unstemmed Genetic Optimization of Liquid Crystal Matrix Based Interference Suppression for VLC MIMO Transmissions
title_sort genetic optimization of liquid crystal matrix based interference suppression for vlc mimo transmissions
publisher IEEE
publishDate 2022
url https://doaj.org/article/8abc2f6eddb648c989a526bb95d0f357
work_keys_str_mv AT adriankrohn geneticoptimizationofliquidcrystalmatrixbasedinterferencesuppressionforvlcmimotransmissions
AT stephanpachnicke geneticoptimizationofliquidcrystalmatrixbasedinterferencesuppressionforvlcmimotransmissions
AT peterhoeher geneticoptimizationofliquidcrystalmatrixbasedinterferencesuppressionforvlcmimotransmissions
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