Modeling Filtering Penalties in ROADM-Based Networks with Machine Learning for QoT Estimation

Ankush Mahajan,Kostas Christodoulopoulos,Ricardo Martinez,Salvatore Spadaro,Raul Munoz

OFC（2020）

引用 4|浏览33

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摘要

Monitoring 3dB bandwidth and other spectrum related parameters at ROADMs provides information about quality of their filters. We propose a machine-learning model to estimate end-to-end filtering penalty for more accurate QoT estimation of future connections.

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关键词

qot estimation,filtering penalties,networks,machine learning,roadm-based

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