A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems Article Swipe

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Elias Giacoumidis , Yi Lin , Mutsam A. Jarajreh , Sean O’Dúill , Kevin McGuinness , Paul F. Whelan , Liam P. Barry ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.20944/preprints201909.0018.v1

We experimentally demonstrate, for the first time, blind nonlinearity compensation using the Density-Based Spatial-Clustering of Applications with Noise (DBSCAN) algorithm for a 40-Gb/s 16-quadrature amplitude modulated being transmitted at 50 km of standard single-mode fiber. At high launched optical powers, DBSCAN offers up to 0.83- and 8.84-dB enhancement in Q-factor when compared to conventional K-means clustering and linear equalization, respectively.

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DBSCAN Cluster analysis Amplitude Nonlinear system Transmission (telecommunications) Compensation (psychology) Noise (video) Computer science Equalization (audio) Optics Physics Algorithm Telecommunications Artificial intelligence Image (mathematics) Correlation clustering Canopy clustering algorithm Psychoanalysis Quantum mechanics Decoding methods Psychology

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Type: preprint
Language: en
Landing Page: https://doi.org/10.20944/preprints201909.0018.v1
PDF: https://www.preprints.org/manuscript/201909.0018/v1/download
OA Status: green
Cited By: 5
References: 22
Related Works: 10
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DOI: https://doi.org/10.20944/preprints201909.0018.v1

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Title: A Blind Nonlinearity Compensator Using DBSCAN Clustering for Coherent Optical Transmission Systems

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Type: preprint

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Language: en

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Publication year: 2019

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Publication date: 2019-09-02

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Authors: Elias Giacoumidis, Yi Lin, Mutsam A. Jarajreh, Sean O’Dúill, Kevin McGuinness, Paul F. Whelan, Liam P. Barry

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Landing page: https://doi.org/10.20944/preprints201909.0018.v1

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PDF URL: https://www.preprints.org/manuscript/201909.0018/v1/download

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Concepts: DBSCAN, Cluster analysis, Amplitude, Nonlinear system, Transmission (telecommunications), Compensation (psychology), Noise (video), Computer science, Equalization (audio), Optics, Physics, Algorithm, Telecommunications, Artificial intelligence, Image (mathematics), Correlation clustering, Canopy clustering algorithm, Psychoanalysis, Quantum mechanics, Decoding methods, Psychology

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Cited by: 5

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