Revisiting multi-step nonlinearity compensation with machine learning

Christian Häger; Henry D. Pfister; Rick M.  Bütler; Gabriele Liga; Alex  Alvarado

doi:10.1049/cp.2019.0947

Revisiting multi-step nonlinearity compensation with machine learning

Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado

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

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For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.

Originele taal-2	Engels
Titel	45th European Conference on Optical Communication (ECOC 2019)
Uitgeverij	Institution of Engineering and Technology (IET)
Aantal pagina's	4
ISBN van geprinte versie	978-1-83953-185-9
DOI's	https://doi.org/10.1049/cp.2019.0947
Status	Gepubliceerd - 30 jun. 2020
Evenement	45th European Conference on Optical Communication (ECOC 2019) - Dublin, Ierland Duur: 22 sep. 2019 → 26 sep. 2019 Congresnummer: 45 https://www.ecoc2019.org/

Publicatie series

Naam	IET Conference Publications
Nummer	CP765

Congres

Congres	45th European Conference on Optical Communication (ECOC 2019)
Verkorte titel	ECOC 2019
Land/Regio	Ierland
Stad	Dublin
Periode	22/09/19 → 26/09/19
Internet adres	https://www.ecoc2019.org/

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10.1049/cp.2019.0947

arXiv versionFinale auteursversie , 347 KB

https://arxiv.org/abs/1904.09807

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talk_ecoc2019

Link to publication in Scopus

Fundamentals of the Nonlinear Optical Channel
Alvarado, A. (Project Manager), Liga, G. (Projectmedewerker), Barreiro, A. (Projectmedewerker), Willems, F. M. J. (Project communicatie medewerker), Sanders, R. (Project communicatie medewerker), Alvarado, A. (Project communicatie medewerker), Barreiro, A. (Project communicatie medewerker), Sheikh, A. (Projectmedewerker), Goossens, S. (Projectmedewerker), de Jonge, M. (Project communicatie medewerker), Gültekin, Y. C. (Projectmedewerker), Jaffal, Y. (Projectmedewerker), Oliari, V. (Projectmedewerker) & Ramachandran, V. (Projectmedewerker)
1/01/18 → 30/06/23
Project: Onderzoek direct

Citeer dit

@inproceedings{bbed0531d35e405ea68b06d698b12b03,

title = "Revisiting multi-step nonlinearity compensation with machine learning",

abstract = "For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.",

keywords = "Deep Learning, Low-Complexity Digital Back-Propagation, Machine Learning Based Dsp, Polarization Mode Dispersion, Subband Processing",

author = "Christian H{\"a}ger and Pfister, {Henry D.} and B{\"u}tler, {Rick M.} and Gabriele Liga and Alex Alvarado",

year = "2020",

month = jun,

day = "30",

doi = "10.1049/cp.2019.0947",

language = "English",

isbn = "978-1-83953-185-9",

series = "IET Conference Publications",

publisher = "Institution of Engineering and Technology (IET)",

number = "CP765",

booktitle = "45th European Conference on Optical Communication (ECOC 2019)",

address = "United Kingdom",

note = "45th European Conference on Optical Communication (ECOC 2019), ECOC 2019 ; Conference date: 22-09-2019 Through 26-09-2019",

url = "https://www.ecoc2019.org/",

}

Häger, C, Pfister, HD, Bütler, RM, Liga, G & Alvarado, A 2020, Revisiting multi-step nonlinearity compensation with machine learning. in 45th European Conference on Optical Communication (ECOC 2019)., 9125675, IET Conference Publications, nr. CP765, Institution of Engineering and Technology (IET), 45th European Conference on Optical Communication (ECOC 2019), Dublin, Ierland, 22/09/19. https://doi.org/10.1049/cp.2019.0947

Revisiting multi-step nonlinearity compensation with machine learning. / Häger, Christian; Pfister, Henry D.; Bütler, Rick M. et al.
45th European Conference on Optical Communication (ECOC 2019). Institution of Engineering and Technology (IET), 2020. 9125675 (IET Conference Publications; Nr. CP765).

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

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T1 - Revisiting multi-step nonlinearity compensation with machine learning

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PY - 2020/6/30

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N2 - For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.

AB - For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient. We challenge this assumption and show that carefully designed multi-step approaches can lead to better performance-complexity trade-offs than their few-step counterparts.

KW - Deep Learning

KW - Low-Complexity Digital Back-Propagation

KW - Machine Learning Based Dsp

KW - Polarization Mode Dispersion

KW - Subband Processing

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M3 - Conference contribution

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Revisiting multi-step nonlinearity compensation with machine learning

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Publicatie series

Congres

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Fundamentals of the Nonlinear Optical Channel

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