Field Trial to Assess Bayesian Optimization for Improving QoT Estimation

Reda Ayassi; Ahmed Triki; Bertrand Le Guyader; Florian Frank; Thierry Marcot; Esther Le Rouzic; Maxime Laye; Roberto Minerva; Noel Crespi

doi:10.1049/icp.2023.2087

Field Trial to Assess Bayesian Optimization for Improving QoT Estimation

Reda Ayassi
, Ahmed Triki
, Bertrand Le Guyader
, Florian Frank
, Thierry Marcot
, Esther Le Rouzic
, Maxime Laye
, Roberto Minerva
, Noel Crespi

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

Abstract

A Bayesian optimization-based approach was investigated with data extracted from a live network as part of a field trial to retrieve hard-To-measure equipment parameters. These parameters were then utilized to improve the accuracy of the Quality of Transmission estimation.

Original language	English
Title of host publication	49th European Conference on Optical Communications, ECOC 2023
Publisher	Institution of Engineering and Technology
Pages	389-392
Number of pages	4
Volume	2023
Edition	34
ISBN (Electronic)	9781839539268
DOIs	https://doi.org/10.1049/icp.2023.2087
Publication status	Published - 1 Jan 2023
Event	49th European Conference on Optical Communications, ECOC 2023 - Hybrid, Glasgow, United Kingdom Duration: 1 Oct 2023 → 5 Oct 2023

Conference

Conference	49th European Conference on Optical Communications, ECOC 2023
Country/Territory	United Kingdom
City	Hybrid, Glasgow
Period	1/10/23 → 5/10/23

Access to Document

10.1049/icp.2023.2087

Cite this

Ayassi, R., Triki, A., Le Guyader, B., Frank, F., Marcot, T., Le Rouzic, E., Laye, M., Minerva, R., & Crespi, N. (2023). Field Trial to Assess Bayesian Optimization for Improving QoT Estimation. In 49th European Conference on Optical Communications, ECOC 2023 (34 ed., Vol. 2023, pp. 389-392). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2023.2087

@inproceedings{e37b735381694de6ac1918d9471b8f3a,

title = "Field Trial to Assess Bayesian Optimization for Improving QoT Estimation",

abstract = "A Bayesian optimization-based approach was investigated with data extracted from a live network as part of a field trial to retrieve hard-To-measure equipment parameters. These parameters were then utilized to improve the accuracy of the Quality of Transmission estimation.",

author = "Reda Ayassi and Ahmed Triki and \{Le Guyader\}, Bertrand and Florian Frank and Thierry Marcot and \{Le Rouzic\}, Esther and Maxime Laye and Roberto Minerva and Noel Crespi",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2023.; 49th European Conference on Optical Communications, ECOC 2023 ; Conference date: 01-10-2023 Through 05-10-2023",

year = "2023",

month = jan,

day = "1",

doi = "10.1049/icp.2023.2087",

language = "English",

volume = "2023",

pages = "389--392",

booktitle = "49th European Conference on Optical Communications, ECOC 2023",

publisher = "Institution of Engineering and Technology",

edition = "34",

}

Ayassi, R, Triki, A, Le Guyader, B, Frank, F, Marcot, T, Le Rouzic, E, Laye, M, Minerva, R & Crespi, N 2023, Field Trial to Assess Bayesian Optimization for Improving QoT Estimation. in 49th European Conference on Optical Communications, ECOC 2023. 34 edn, vol. 2023, Institution of Engineering and Technology, pp. 389-392, 49th European Conference on Optical Communications, ECOC 2023, Hybrid, Glasgow, United Kingdom, 1/10/23. https://doi.org/10.1049/icp.2023.2087

Field Trial to Assess Bayesian Optimization for Improving QoT Estimation. / Ayassi, Reda; Triki, Ahmed; Le Guyader, Bertrand et al.
49th European Conference on Optical Communications, ECOC 2023. Vol. 2023 34. ed. Institution of Engineering and Technology, 2023. p. 389-392.

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

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T1 - Field Trial to Assess Bayesian Optimization for Improving QoT Estimation

AU - Ayassi, Reda

AU - Triki, Ahmed

AU - Le Guyader, Bertrand

AU - Frank, Florian

AU - Marcot, Thierry

AU - Le Rouzic, Esther

AU - Laye, Maxime

AU - Minerva, Roberto

AU - Crespi, Noel

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Y1 - 2023/1/1

N2 - A Bayesian optimization-based approach was investigated with data extracted from a live network as part of a field trial to retrieve hard-To-measure equipment parameters. These parameters were then utilized to improve the accuracy of the Quality of Transmission estimation.

AB - A Bayesian optimization-based approach was investigated with data extracted from a live network as part of a field trial to retrieve hard-To-measure equipment parameters. These parameters were then utilized to improve the accuracy of the Quality of Transmission estimation.

UR - https://www.scopus.com/pages/publications/85203451472

U2 - 10.1049/icp.2023.2087

DO - 10.1049/icp.2023.2087

M3 - Conference contribution

AN - SCOPUS:85203451472

VL - 2023

SP - 389

EP - 392

BT - 49th European Conference on Optical Communications, ECOC 2023

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T2 - 49th European Conference on Optical Communications, ECOC 2023

Y2 - 1 October 2023 through 5 October 2023

ER -

Field Trial to Assess Bayesian Optimization for Improving QoT Estimation

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