Optical amplifier control in optical networks using machine learning

Catherine Lepers; Maria Freire-Hermelo; Antoine Lavignotte; Dipankar Sengupta; Christine Tremblay

Optical amplifier control in optical networks using machine learning

Catherine Lepers, Maria Freire-Hermelo, Antoine Lavignotte, Dipankar Sengupta, Christine Tremblay

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

Abstract

Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.

Original language	English
Title of host publication	Photonic Networks and Devices, NETWORKS 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580798
Publication status	Published - 1 Jan 2020
Event	Photonic Networks and Devices, NETWORKS 2020 - Washington, United States Duration: 13 Jul 2020 → 16 Jul 2020

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F185-NETWORKS 2020
ISSN (Electronic)	2162-2701

Conference

Conference	Photonic Networks and Devices, NETWORKS 2020
Country/Territory	United States
City	Washington
Period	13/07/20 → 16/07/20

Cite this

@inproceedings{6be6ddd393454451a9b5956903f281d5,

title = "Optical amplifier control in optical networks using machine learning",

abstract = "Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.",

author = "Catherine Lepers and Maria Freire-Hermelo and Antoine Lavignotte and Dipankar Sengupta and Christine Tremblay",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s); Photonic Networks and Devices, NETWORKS 2020 ; Conference date: 13-07-2020 Through 16-07-2020",

year = "2020",

month = jan,

day = "1",

language = "English",

isbn = "9781943580798",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Photonic Networks and Devices, NETWORKS 2020",

}

Lepers, C, Freire-Hermelo, M, Lavignotte, A, Sengupta, D & Tremblay, C 2020, Optical amplifier control in optical networks using machine learning. in Photonic Networks and Devices, NETWORKS 2020. Optics InfoBase Conference Papers, vol. Part F185-NETWORKS 2020, Optica Publishing Group (formerly OSA), Photonic Networks and Devices, NETWORKS 2020, Washington, United States, 13/07/20.

Optical amplifier control in optical networks using machine learning. / Lepers, Catherine; Freire-Hermelo, Maria; Lavignotte, Antoine et al.
Photonic Networks and Devices, NETWORKS 2020. Optica Publishing Group (formerly OSA), 2020. (Optics InfoBase Conference Papers; Vol. Part F185-NETWORKS 2020).

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

TY - GEN

T1 - Optical amplifier control in optical networks using machine learning

AU - Lepers, Catherine

AU - Freire-Hermelo, Maria

AU - Lavignotte, Antoine

AU - Sengupta, Dipankar

AU - Tremblay, Christine

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.

AB - Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.

M3 - Conference contribution

AN - SCOPUS:85095410263

SN - 9781943580798

T3 - Optics InfoBase Conference Papers

BT - Photonic Networks and Devices, NETWORKS 2020

PB - Optica Publishing Group (formerly OSA)

T2 - Photonic Networks and Devices, NETWORKS 2020

Y2 - 13 July 2020 through 16 July 2020

ER -

Optical amplifier control in optical networks using machine learning

Abstract

Publication series

Conference

Fingerprint

Cite this