机器学习辅助EDFA增益纹波建模用于准确的QoT估计

Ankush Mahajan, K. Christodoulopoulos, R. Martínez, S. Spadaro, R. Muñoz
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引用次数: 12

摘要

波长相关的EDFA增益纹波影响连接的OSNR性能。我们提出了一种机器学习回归模型来估计端到端增益纹波惩罚并提高QoT估计精度。
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Machine Learning Assisted EDFA Gain Ripple Modelling for Accurate QoT Estimation
Wavelength dependent EDFA gain ripple has an impact on connection’s OSNR performance. We propose a machine learning regression model to estimate the end to end gain ripple penalty and to increase QoT estimation accuracy.
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