Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Maria Freire; Sébastien Mansfeld; Djamel Amar; Franck Gillet; Antoine Lavignotte; Catherine Lepers

doi:10.1109/ACP.2018.8596233

Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Maria Freire
, Sébastien Mansfeld
, Djamel Amar
, Franck Gillet
, Antoine Lavignotte
, Catherine Lepers

Université Paris-Saclay
Optics Department
ENST Bretagne

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

13 Citations (Scopus)

Résumé

We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment.

langue originale	Anglais
titre	2018 Asia Communications and Photonics Conference, ACP 2018
Editeur	OSA - The Optical Society
ISBN (Electronique)	9781538661581
Les DOIs	https://doi.org/10.1109/ACP.2018.8596233
état	Publié - 28 déc. 2018
Modification externe	Oui
Evénement	2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, Chine Durée: 26 oct. 2018 → 29 oct. 2018

Série de publications

Nom	Asia Communications and Photonics Conference, ACP
Volume	2018-October
ISSN (imprimé)	2162-108X

Une conférence

Une conférence	2018 Asia Communications and Photonics Conference, ACP 2018
Pays/Territoire	Chine
La ville	Hangzhou
période	26/10/18 → 29/10/18

Accès au document

10.1109/ACP.2018.8596233

Contient cette citation

Freire, M., Mansfeld, S., Amar, D., Gillet, F., Lavignotte, A., & Lepers, C. (2018). Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks. Dans 2018 Asia Communications and Photonics Conference, ACP 2018 Article 8596233 (Asia Communications and Photonics Conference, ACP; Vol 2018-October). OSA - The Optical Society. https://doi.org/10.1109/ACP.2018.8596233

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title = "Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks",

abstract = "We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment.",

keywords = "Erbium Doped Fiber Amplifiers, Neural Networks, Power excursion",

author = "Maria Freire and S{\'e}bastien Mansfeld and Djamel Amar and Franck Gillet and Antoine Lavignotte and Catherine Lepers",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Asia Communications and Photonics Conference, ACP 2018 ; Conference date: 26-10-2018 Through 29-10-2018",

year = "2018",

month = dec,

day = "28",

doi = "10.1109/ACP.2018.8596233",

language = "English",

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Freire, M, Mansfeld, S, Amar, D, Gillet, F , Lavignotte, A & Lepers, C 2018, Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks. Dans 2018 Asia Communications and Photonics Conference, ACP 2018., 8596233, Asia Communications and Photonics Conference, ACP, VOL. 2018-October, OSA - The Optical Society, 2018 Asia Communications and Photonics Conference, ACP 2018, Hangzhou, Chine, 26/10/18. https://doi.org/10.1109/ACP.2018.8596233

Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks. / Freire, Maria; Mansfeld, Sébastien; Amar, Djamel et al.
2018 Asia Communications and Photonics Conference, ACP 2018. OSA - The Optical Society, 2018. 8596233 (Asia Communications and Photonics Conference, ACP; Vol 2018-October).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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T1 - Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

AU - Freire, Maria

AU - Mansfeld, Sébastien

AU - Amar, Djamel

AU - Gillet, Franck

AU - Lavignotte, Antoine

AU - Lepers, Catherine

PY - 2018/12/28

Y1 - 2018/12/28

N2 - We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment.

AB - We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment.

KW - Erbium Doped Fiber Amplifiers

KW - Neural Networks

KW - Power excursion

U2 - 10.1109/ACP.2018.8596233

DO - 10.1109/ACP.2018.8596233

M3 - Conference contribution

AN - SCOPUS:85061447585

T3 - Asia Communications and Photonics Conference, ACP

BT - 2018 Asia Communications and Photonics Conference, ACP 2018

PB - OSA - The Optical Society

T2 - 2018 Asia Communications and Photonics Conference, ACP 2018

Y2 - 26 October 2018 through 29 October 2018

ER -

Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation