Demonstration of ML-aided impairment-aware L0 path computation in fully disaggregated multi-vendor optical transport networks

Huy Tran Quang; Quan Pham-Van; Dominique Verchere; Huu Trung Thieu; Djamal Zeghlache

Demonstration of ML-aided impairment-aware L0 path computation in fully disaggregated multi-vendor optical transport networks

Huy Tran Quang
, Quan Pham-Van
, Dominique Verchere
, Huu Trung Thieu
, Djamal Zeghlache

Bell Labs

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

Abstract

We demonstrate an online impairment-aware L0 path computation capability leveraging a machine learning model to recommend the most appropriate path and optical parameters combination for a connectivity service request in the fully disaggregated multi-vendor optical transport network.

Original language	English
Journal	Optics InfoBase Conference Papers
Publication status	Published - 1 Jan 2021
Event	Optical Fiber Communication Conference, OFC 2021 - Virtual, Online, United States Duration: 6 Jun 2021 → 11 Jun 2021

Cite this

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title = "Demonstration of ML-aided impairment-aware L0 path computation in fully disaggregated multi-vendor optical transport networks",

abstract = "We demonstrate an online impairment-aware L0 path computation capability leveraging a machine learning model to recommend the most appropriate path and optical parameters combination for a connectivity service request in the fully disaggregated multi-vendor optical transport network.",

author = "Quang, \{Huy Tran\} and Quan Pham-Van and Dominique Verchere and Thieu, \{Huu Trung\} and Djamal Zeghlache",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); Optical Fiber Communication Conference, OFC 2021 ; Conference date: 06-06-2021 Through 11-06-2021",

year = "2021",

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language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Demonstration of ML-aided impairment-aware L0 path computation in fully disaggregated multi-vendor optical transport networks

AU - Quang, Huy Tran

AU - Pham-Van, Quan

AU - Verchere, Dominique

AU - Thieu, Huu Trung

AU - Zeghlache, Djamal

PY - 2021/1/1

Y1 - 2021/1/1

N2 - We demonstrate an online impairment-aware L0 path computation capability leveraging a machine learning model to recommend the most appropriate path and optical parameters combination for a connectivity service request in the fully disaggregated multi-vendor optical transport network.

AB - We demonstrate an online impairment-aware L0 path computation capability leveraging a machine learning model to recommend the most appropriate path and optical parameters combination for a connectivity service request in the fully disaggregated multi-vendor optical transport network.

M3 - Conference article

AN - SCOPUS:85133765410

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Optical Fiber Communication Conference, OFC 2021

Y2 - 6 June 2021 through 11 June 2021

ER -

Demonstration of ML-aided impairment-aware L0 path computation in fully disaggregated multi-vendor optical transport networks

Abstract

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