Bayesian optimization-based algorithm to improve the quality of transmission estimation

Reda Ayassi; Ahmed Triki; Maxime Laye; Esther Le Rouzic; Noel Crespi; Roberto Minerva

Bayesian optimization-based algorithm to improve the quality of transmission estimation

Reda Ayassi
, Ahmed Triki
, Maxime Laye
, Esther Le Rouzic
, Noel Crespi
, Roberto Minerva

Research output: Contribution to journal › Conference article › peer-review

Abstract

We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.

Original language	English
Article number	NeF2B.3
Journal	Optics InfoBase Conference Papers
Publication status	Published - 1 Jan 2021
Event	Photonic Networks and Devices, Networks 2021 - Part of OSA Advanced Photonics Congress 2021 - Virtual, Online, United States Duration: 26 Jul 2021 → 29 Jul 2021

Cite this

@article{31a8e05f629f4bc88f1a73ca6e05a47f,

title = "Bayesian optimization-based algorithm to improve the quality of transmission estimation",

abstract = "We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.",

author = "Reda Ayassi and Ahmed Triki and Maxime Laye and \{Le Rouzic\}, Esther and Noel Crespi and Roberto Minerva",

note = "Publisher Copyright: {\textcopyright}2021TheAuthor(s); Photonic Networks and Devices, Networks 2021 - Part of OSA Advanced Photonics Congress 2021 ; Conference date: 26-07-2021 Through 29-07-2021",

year = "2021",

month = jan,

day = "1",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Bayesian optimization-based algorithm to improve the quality of transmission estimation

AU - Ayassi, Reda

AU - Triki, Ahmed

AU - Laye, Maxime

AU - Le Rouzic, Esther

AU - Crespi, Noel

AU - Minerva, Roberto

PY - 2021/1/1

Y1 - 2021/1/1

N2 - We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.

AB - We propose a Bayesian Optimization-based algorithm to assess the optical parameters that are taken as input by the QoT computation tool. The method reduces the error in computed OSNR down to 0.07dB.

M3 - Conference article

AN - SCOPUS:85119476652

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - NeF2B.3

T2 - Photonic Networks and Devices, Networks 2021 - Part of OSA Advanced Photonics Congress 2021

Y2 - 26 July 2021 through 29 July 2021

ER -

Bayesian optimization-based algorithm to improve the quality of transmission estimation

Abstract

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