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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	21st International Conference on Transparent Optical Networks, ICTON 2019
Place of Publication	Piscataway
Publisher	IEEE Computer Society
Number of pages	4
ISBN (Electronic)	978-1-7281-2779-8
DOIs	https://doi.org/10.1109/ICTON.2019.8840250
Publication status	Published - 1 Jul 2019
Event	21st International Conference on Transparent Optical Networks (ICTON 2019) - Angers, France Duration: 9 Jul 2019 → 13 Jul 2019 http://www.icton2019.com/index.php

Conference

Conference	21st International Conference on Transparent Optical Networks (ICTON 2019)
Abbreviated title	ICTON2019
Country/Territory	France
City	Angers
Period	9/07/19 → 13/07/19
Internet address	http://www.icton2019.com/index.php

Keywords

Fiber nonlinearity
Machine learning
Optical communications
Parzen window

Access to Document

10.1109/ICTON.2019.8840250

Cite this

@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, France, 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.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › 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

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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

Abstract

Conference

Keywords

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ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels

Cite this

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

ICONIC: Increasing the Capacity of Optical Nonlinear Interfering Channels

Cite this