Continual Pdl Drift Detection and Estimation in Optical Networks

We propose a novel method for continual PDL monitoring that first detects PDL drift by tracking SNR distributional shifts at the receiver, and then provides a prediction of the updated PDL value. This approach achieves a root mean square error (RMSE) of approximately 0.15 dB over time.

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Publication Details

Published
2025-11-09
DOI
https://doi.org/10.1109/ipc65510.2025.11282254
Primary Topic
Optical Network Technologies
Type
article
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article

Continual Pdl Drift Detection and Estimation in Optical Networks

Qiaolun Zhang, Patricia Layec, Fabien Boitier, Massimo Tornatore et al.
Optical Network Technologies
article

Continual Pdl Drift Detection and Estimation in Optical Networks

Qiaolun Zhang, Patricia Layec, Fabien Boitier, Massimo Tornatore, Lina Shi
article en

Abstract

We propose a novel method for continual PDL monitoring that first detects PDL drift by tracking SNR distributional shifts at the receiver, and then provides a prediction of the updated PDL value. This approach achieves a root mean square error (RMSE) of approximately 0.15 dB over time.

Laboratoire Ingénierie, Procédés, Aliments (FR), Politecnico di Milano (IT)
Openalex Percentile: Top 43%
Optical Network Technologies
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