Joint Three-Task Optical Performance Monitoring with High Performance and Superior Generalizability Using a Meta-Learning-Based Convolutional Neural Network-Attention Algorithm and Amplitude-Differential Phase Histograms Across WDM Transmission Scenarios

Joint Three-Task Optical Performance Monitoring with High Performance and Superior Generalizability Using a Meta-Learning-Based Convolutional Neural Network-Attention Algorithm and Amplitude-Differential Phase Histograms Across WDM Transmission Scenarios

Nonlinear noise power (NLNP) estimation, optical signal-to-noise ratio (OSNR) monitoring, and modulation format identification (MFI) are crucial for optical performance monitoring (OPM) in future dynamic WDM optical networks. This paper proposes an OPM scheme to simultaneously implement these three...

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Bibliographic Details
Main Authors: Di Zhang, Junyao Shi, Yameng Cao, Yan Ling Xue
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Photonics
Subjects:
meta-learning algorithm
convolutional neural network
attention mechanism
optical performance monitoring
amplitude-differential phase histogram
WDM transmission
Online Access:https://www.mdpi.com/2304-6732/12/4/324
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