Long-Short-Term QoT Prediction for Already Established Light-Path While Considering Light-Path Correlation

2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM)(2023)

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摘要
We proposed a deep LSTM-based neural network model training with field data and light-path correlation to accurately predict the QoT of already established light-path for 200 hours, enabling proactive measures to prevent service disruptions.
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关键词
light-path correlation,QoT,already established,field data
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