An ultra-fast method for gain and noise prediction of Raman amplifiers

Ann Margareth Rosa Brusin; Vittorio Curri; Darko Zibar; Andrea Carena

doi:10.1049/cp.2019.0976

An ultra-fast method for gain and noise prediction of Raman amplifiers

Ann Margareth Rosa Brusin
, Vittorio Curri
, Darko Zibar
, Andrea Carena

Polytechnic University of Turin

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

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Abstract

A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE <0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.

Original language	English
Title of host publication	Proceedings of 45th European Conference on Optical Communication
Publisher	Institution of Engineering and Technology
Publication date	2019
Pages	903-906
ISBN (Print)	978-1-83953-185-9
DOIs	https://doi.org/10.1049/cp.2019.0976
Publication status	Published - 2019
Event	45th European Conference on Optical Communication - Royal Dublin Showground, Dublin, Ireland Duration: 22 Sept 2019 → 26 Sept 2019 Conference number: 45 http://www.ecoc2019.org

Conference

Conference	45th European Conference on Optical Communication
Number	45
Location	Royal Dublin Showground
Country/Territory	Ireland
City	Dublin
Period	22/09/2019 → 26/09/2019
Internet address	http://www.ecoc2019.org

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10.1049/cp.2019.0976

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@inproceedings{f050cb29896d4f6499f82564773853ae,

title = "An ultra-fast method for gain and noise prediction of Raman amplifiers",

abstract = "A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE <0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.",

author = "Brusin, \{Ann Margareth Rosa\} and Vittorio Curri and Darko Zibar and Andrea Carena",

year = "2019",

doi = "10.1049/cp.2019.0976",

language = "English",

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

pages = "903--906",

booktitle = "Proceedings of 45th European Conference on Optical Communication",

publisher = "Institution of Engineering and Technology",

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

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

}

An ultra-fast method for gain and noise prediction of Raman amplifiers. / Brusin, Ann Margareth Rosa; Curri, Vittorio; Zibar, Darko et al.
Proceedings of 45th European Conference on Optical Communication. Institution of Engineering and Technology, 2019. p. 903-906.

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

TY - GEN

T1 - An ultra-fast method for gain and noise prediction of Raman amplifiers

AU - Brusin, Ann Margareth Rosa

AU - Curri, Vittorio

AU - Zibar, Darko

AU - Carena, Andrea

N1 - Conference code: 45

PY - 2019

Y1 - 2019

N2 - A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE <0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.

AB - A machine learning method for prediction of Raman gain and noise spectra is presented: it guarantees high-accuracy (RMSE <0.4 dB) and low computational complexity making it suitable for real-time implementation in future optical networks controllers.

U2 - 10.1049/cp.2019.0976

DO - 10.1049/cp.2019.0976

M3 - Article in proceedings

SN - 978-1-83953-185-9

SP - 903

EP - 906

BT - Proceedings of 45th European Conference on Optical Communication

PB - Institution of Engineering and Technology

T2 - 45th European Conference on Optical Communication

Y2 - 22 September 2019 through 26 September 2019

ER -

An ultra-fast method for gain and noise prediction of Raman amplifiers

Abstract

Conference

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