Filtering Impairments-Aware Digital Twin for SNR Prediction over Network Life-Cycle

We propose a new method to improve SNR prediction of existing and new services with the presence of unknown penalties due to filtering effects. We validate the method in a testbed experiment with 5 OMS and up to 200 deployed services and show an average improvement of SNR service prediction of up to 0.9dB.

Authors

Gabriel Charlet (ORCID: https://orcid.org/0000-0003-1398-5446)
Xin Yang (ORCID: https://orcid.org/0000-0002-7542-054X)
Reda Ayassi (ORCID: https://orcid.org/0000-0003-3777-2445)
Yvan Pointurier (ORCID: https://orcid.org/0000-0002-7612-4814)
Chenyu Sun (ORCID: https://orcid.org/0000-0002-6391-2635)

Institutions

Huawei Technologies (France) (FR)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.1364/ofc.2025.w4g.4
Primary Topic: Advanced Data and IoT Technologies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Filtering Impairments-Aware Digital Twin for SNR Prediction over Network Life-Cycle

Gabriel Charlet, Xin Yang, Reda Ayassi, Yvan Pointurier et al.

Jan 1, 2025

Advanced Data and IoT Technologies

article

Filtering Impairments-Aware Digital Twin for SNR Prediction over Network Life-Cycle

Gabriel Charlet, Xin Yang, Reda Ayassi, Yvan Pointurier, Chenyu Sun

January 1, 2025article en

Abstract

We propose a new method to improve SNR prediction of existing and new services with the presence of unknown penalties due to filtering effects. We validate the method in a testbed experiment with 5 OMS and up to 200 deployed services and show an average improvement of SNR service prediction of up to 0.9dB.

Huawei Technologies (France) (FR)

Openalex Percentile: Top 89%

Advanced Data and IoT Technologies

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Filtering Impairments-Aware Digital Twin for SNR Prediction over Network Life-Cycle — Gabriel Charlet, Xin Yang, et al. · (2025) | TGRS Research Map | TGRS