Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

F. Da Ros; U. C. de Moura; R. S. Luis; G. Rademacher; B. J. Puttnam; A. M. Rosa Brusin; A. Carena; Y. Awaji; H. Furukawa; D. Zibar

Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

F. Da Ros, U. C. de Moura, R. S. Luis, G. Rademacher, B. J. Puttnam, A. M. Rosa Brusin, A. Carena, Y. Awaji, H. Furukawa, D. Zibar

Centre of Excellence for Silicon Photonics for Optical Communications

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

Abstract

Experimentally-trained neural network models are used to optimize the 12 Raman pumps of a C+L band hybrid EDFA-Raman amplifier, targeting gains with improved flatness. Gain ripples are decreased from 6.7 to 1.9 dB.

Original language	English
Title of host publication	Proceedings of Optical Fiber Communication Conference 2021
Number of pages	2
Publisher	IEEE
Publication date	2021
ISBN (Print)	9781943580866
Publication status	Published - 2021
Event	2021 Optical Fiber Communications Conference and Exhibition - San Francisco, United States Duration: 6 Jun 2021 → 11 Jun 2021

Conference

Conference	2021 Optical Fiber Communications Conference and Exhibition
Country/Territory	United States
City	San Francisco
Period	06/06/2021 → 11/06/2021

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@inproceedings{c02568e40b6c49dd86af8ccf9820b5c4,

title = "Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models",

abstract = "Experimentally-trained neural network models are used to optimize the 12 Raman pumps of a C+L band hybrid EDFA-Raman amplifier, targeting gains with improved flatness. Gain ripples are decreased from 6.7 to 1.9 dB.",

author = "{Da Ros}, F. and {de Moura}, {U. C.} and Luis, {R. S.} and G. Rademacher and Puttnam, {B. J.} and Brusin, {A. M. Rosa} and A. Carena and Y. Awaji and H. Furukawa and D. Zibar",

year = "2021",

language = "English",

isbn = "9781943580866 ",

booktitle = "Proceedings of Optical Fiber Communication Conference 2021",

publisher = "IEEE",

address = "United States",

note = "2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",

}

Da Ros, F, de Moura, UC, Luis, RS, Rademacher, G, Puttnam, BJ, Brusin, AMR, Carena, A, Awaji, Y, Furukawa, H & Zibar, D 2021, Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models. in Proceedings of Optical Fiber Communication Conference 2021. IEEE, 2021 Optical Fiber Communications Conference and Exhibition, San Francisco, California, United States, 06/06/2021.

TY - GEN

T1 - Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

AU - Da Ros, F.

AU - de Moura, U. C.

AU - Luis, R. S.

AU - Rademacher, G.

AU - Puttnam, B. J.

AU - Brusin, A. M. Rosa

AU - Carena, A.

AU - Awaji, Y.

AU - Furukawa, H.

AU - Zibar, D.

PY - 2021

Y1 - 2021

N2 - Experimentally-trained neural network models are used to optimize the 12 Raman pumps of a C+L band hybrid EDFA-Raman amplifier, targeting gains with improved flatness. Gain ripples are decreased from 6.7 to 1.9 dB.

AB - Experimentally-trained neural network models are used to optimize the 12 Raman pumps of a C+L band hybrid EDFA-Raman amplifier, targeting gains with improved flatness. Gain ripples are decreased from 6.7 to 1.9 dB.

M3 - Article in proceedings

SN - 9781943580866

BT - Proceedings of Optical Fiber Communication Conference 2021

PB - IEEE

T2 - 2021 Optical Fiber Communications Conference and Exhibition

Y2 - 6 June 2021 through 11 June 2021

ER -

Optimization of a Hybrid EDFA-Raman C plus L Band Amplifier through Neural-Network Models

Abstract

Conference

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