Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links

Abdelkerim Amari; Xiang Lin; Octavia A. Dobre; Ramachandran Venkatesan; Alex Alvarado

doi:10.1109/ICTON.2019.8840250

Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links

Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

1 Citaat (Scopus)

Samenvatting

Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects. In this work, a machine learning-based classification technique, known as the Parzen window (PW) classifier, is applied to mitigate the nonlinear effects in the optical channel. The PW classifier is used as a detector with improved nonlinear decision boundaries more adapted to the nonlinear fiber channel. Performance improvement is observed when applying the PW in the context of dispersion managed and dispersion unmanaged systems.

Originele taal-2	Engels
Titel	21st International Conference on Transparent Optical Networks, ICTON 2019
Plaats van productie	Piscataway
Uitgeverij	IEEE Computer Society
Aantal pagina's	4
ISBN van elektronische versie	978-1-7281-2779-8
DOI's	https://doi.org/10.1109/ICTON.2019.8840250
Status	Gepubliceerd - 1 jul. 2019
Evenement	21st International Conference on Transparent Optical Networks (ICTON 2019) - Angers, Frankrijk Duur: 9 jul. 2019 → 13 jul. 2019 http://www.icton2019.com/index.php

Congres

Congres	21st International Conference on Transparent Optical Networks (ICTON 2019)
Verkorte titel	ICTON2019
Land/Regio	Frankrijk
Stad	Angers
Periode	9/07/19 → 13/07/19
Internet adres	http://www.icton2019.com/index.php

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10.1109/ICTON.2019.8840250

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Link to publication in Scopus

ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels
Alvarado, A. (Project Manager), Alvarado, A. (Projectmedewerker), Willems, F. M. J. (Project communicatie medewerker), Sanders, R. (Project communicatie medewerker), Alvarado, A. (Project communicatie medewerker), Barreiro, A. (Project communicatie medewerker), Wu, K. (Projectmedewerker), de Jonge, M. (Project communicatie medewerker), Karanov, B. (Project communicatie medewerker), Karanov, B. (Projectmedewerker), Lee, J. (Projectmedewerker) & Oliari, V. (Projectmedewerker)
1/08/17 → 31/07/23
Project: Onderzoek direct

Citeer dit

@inproceedings{b0c42c54c3644742bc89bed6a5578676,

title = "Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links",

abstract = "Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects. In this work, a machine learning-based classification technique, known as the Parzen window (PW) classifier, is applied to mitigate the nonlinear effects in the optical channel. The PW classifier is used as a detector with improved nonlinear decision boundaries more adapted to the nonlinear fiber channel. Performance improvement is observed when applying the PW in the context of dispersion managed and dispersion unmanaged systems.",

keywords = "Fiber nonlinearity, Machine learning, Optical communications, Parzen window",

author = "Abdelkerim Amari and Xiang Lin and Dobre, {Octavia A.} and Ramachandran Venkatesan and Alex Alvarado",

year = "2019",

month = jul,

day = "1",

doi = "10.1109/ICTON.2019.8840250",

language = "English",

booktitle = "21st International Conference on Transparent Optical Networks, ICTON 2019",

publisher = "IEEE Computer Society",

address = "United States",

note = "21st International Conference on Transparent Optical Networks (ICTON 2019), ICTON2019 ; Conference date: 09-07-2019 Through 13-07-2019",

url = "http://www.icton2019.com/index.php",

}

Amari, A, Lin, X, Dobre, OA, Venkatesan, R & Alvarado, A 2019, Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links. in 21st International Conference on Transparent Optical Networks, ICTON 2019., Fr.C3.1, IEEE Computer Society, Piscataway, 21st International Conference on Transparent Optical Networks (ICTON 2019), Angers, Frankrijk, 9/07/19. https://doi.org/10.1109/ICTON.2019.8840250

Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links. / Amari, Abdelkerim; Lin, Xiang; Dobre, Octavia A. et al.
21st International Conference on Transparent Optical Networks, ICTON 2019. Piscataway: IEEE Computer Society, 2019. Fr.C3.1.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links

AU - Amari, Abdelkerim

AU - Lin, Xiang

AU - Dobre, Octavia A.

AU - Venkatesan, Ramachandran

AU - Alvarado, Alex

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects. In this work, a machine learning-based classification technique, known as the Parzen window (PW) classifier, is applied to mitigate the nonlinear effects in the optical channel. The PW classifier is used as a detector with improved nonlinear decision boundaries more adapted to the nonlinear fiber channel. Performance improvement is observed when applying the PW in the context of dispersion managed and dispersion unmanaged systems.

AB - Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects. In this work, a machine learning-based classification technique, known as the Parzen window (PW) classifier, is applied to mitigate the nonlinear effects in the optical channel. The PW classifier is used as a detector with improved nonlinear decision boundaries more adapted to the nonlinear fiber channel. Performance improvement is observed when applying the PW in the context of dispersion managed and dispersion unmanaged systems.

KW - Fiber nonlinearity

KW - Machine learning

KW - Optical communications

KW - Parzen window

UR - http://www.scopus.com/inward/record.url?scp=85073076101&partnerID=8YFLogxK

U2 - 10.1109/ICTON.2019.8840250

DO - 10.1109/ICTON.2019.8840250

M3 - Conference contribution

AN - SCOPUS:85073076101

BT - 21st International Conference on Transparent Optical Networks, ICTON 2019

PB - IEEE Computer Society

CY - Piscataway

T2 - 21st International Conference on Transparent Optical Networks (ICTON 2019)

Y2 - 9 July 2019 through 13 July 2019

ER -

Fiber nonlinearity mitigation via the parzen window classifier for dispersion managed and unmanaged links

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Congres

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ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels

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