Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling

Metodi Plamenov Yankov; Uiara Celine de Moura; Francesco Da Ros

doi:10.1109/ECOC48923.2020.9333255

Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling

Metodi Plamenov Yankov^*
, Uiara Celine de Moura
, Francesco Da Ros

^*Corresponding author for this work

Centre of Excellence for Silicon Photonics for Optical Communications

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

Abstract

Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.

Original language	English
Title of host publication	Proceedings of 46^th European Conference on Optical Communications
Number of pages	4
Publisher	IEEE
Publication date	2020
Pages	1-4
ISBN (Print)	9781728173610
DOIs	https://doi.org/10.1109/ECOC48923.2020.9333255
Publication status	Published - 2020
Event	46^th European Conference on Optical Communication - Virtual event, Brussels, Belgium Duration: 6 Dec 2020 → 10 Dec 2020 Conference number: 46 https://ecoco2020.org/

Conference

Conference	46^th European Conference on Optical Communication
Number	46
Location	Virtual event
Country/Territory	Belgium
City	Brussels
Period	06/12/2020 → 10/12/2020
Internet address	https://ecoco2020.org/

Access to Document

10.1109/ECOC48923.2020.9333255

OpenUrl availability

Check availability in DTU Findit

Cite this

@inproceedings{5fb2d1acaa804a9fa7778824155a7ad3,

title = "Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling",

abstract = "Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.",

author = "Yankov, \{Metodi Plamenov\} and Moura, \{Uiara Celine de\} and \{Da Ros\}, Francesco",

year = "2020",

doi = "10.1109/ECOC48923.2020.9333255",

language = "English",

isbn = "9781728173610",

pages = "1--4",

booktitle = "Proceedings of 46th European Conference on Optical Communications",

publisher = "IEEE",

address = "United States",

note = "46<sup>th</sup> European Conference on Optical Communication, ECOC 2020 ; Conference date: 06-12-2020 Through 10-12-2020",

url = "https://ecoco2020.org/",

}

Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling. / Yankov, Metodi Plamenov; Moura, Uiara Celine de; Da Ros, Francesco.
Proceedings of 46^th European Conference on Optical Communications. IEEE, 2020. p. 1-4.

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

TY - GEN

T1 - Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling

AU - Yankov, Metodi Plamenov

AU - Moura, Uiara Celine de

AU - Da Ros, Francesco

N1 - Conference code: 46

PY - 2020

Y1 - 2020

N2 - Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.

AB - Cascades of a machine learning-based EDFA gain model trained on a single physical device and a fully differentiable stimulated Raman scattering fiber model are used to predict and optimize the power profile at the output of an experimental multi-span fully-loaded C-band optical communication system.

U2 - 10.1109/ECOC48923.2020.9333255

DO - 10.1109/ECOC48923.2020.9333255

M3 - Article in proceedings

SN - 9781728173610

SP - 1

EP - 4

BT - Proceedings of 46th European Conference on Optical Communications

PB - IEEE

T2 - 46<sup>th</sup> European Conference on Optical Communication

Y2 - 6 December 2020 through 10 December 2020

ER -

Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this