Fast and accurate nonlinear interference in-band spectrum prediction for sparse channel allocation

Isaia Andrenacci,Matteo Lonardi,Petros Ramantanis,Élie Awwad,Ekhiñe Irurozki,Stephan Clémençon

2023 International Conference on Optical Network Design and Modeling (ONDM)（2023）

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摘要

We propose and numerically evaluate a machine-learning-based nonlinear interference spectrum estimator for a coherent optical network. The solution shows a root-mean-squared error of about 0.13 dB compared with split-step Fourier simulation when estimating the nonlinear interference variance.

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关键词

optical network, machine learning, fiber nonlinearity, nonlinear interference power spectral densityd

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