Predicting suitable modulation type using Machine Learning Algorithms in FSO system

Predicting suitable modulation type using Machine Learning Algorithms in FSO system Mark Kostas1, Olga Lubos2 1University of Peloponnese, Greece 2Technical University, Slovakia Abstract Free space optical communications (FSO) offers many and varied advantages, including high data transfer speed, ease of installation and deployment compared to fiber-optic communications, in addition to not requiring a license. However,

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Publication Details

Journal
Advances in Engineering and Multidisciplinary Knowledge
Published
2025-01-01
DOI
https://doi.org/10.64335/j.aemk.2025.01.08
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting suitable modulation type using Machine Learning Algorithms in FSO system

Mark Kostas, Olga Lubos
Advances in Engineering and Multidisciplinary Knowledge
Optical Systems and Laser Technology
article

Predicting suitable modulation type using Machine Learning Algorithms in FSO system

Mark Kostas, Olga Lubos
article en

Abstract

Predicting suitable modulation type using Machine Learning Algorithms in FSO system Mark Kostas1, Olga Lubos2 1University of Peloponnese, Greece 2Technical University, Slovakia Abstract Free space optical communications (FSO) offers many and varied advantages, including high data transfer speed, ease of installation and deployment compared to fiber-optic communications, in addition to not requiring a license. However,

Advances in Engineering and Multidisciplinary KnowledgeVol. 1(1)
Openalex Percentile: Top 82%
Optical Systems and Laser Technology
DOIOpen Access PDFOpenAlex
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Predicting suitable modulation type using Machine Learning Algorithms in FSO system — Mark Kostas, Olga Lubos · Advances in Engineering and Multidisciplinary Knowledge (2025) | TGRS Research Map | TGRS