A Novel Approach for Joint Analytical and ML-assisted GSNR Estimation in Flexible Optical Network

F. Arpanaei,B. Shariati,P. Safari,M. Ranjbar Zefreh,J. A. Hernandez,A. Carena, J. Fischer,D. Larrabeiti

2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)（2022）

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摘要

We propose a novel approach to perform QoT estimation relying on joint exploitation of machine learning and analytical formula that offers accurate estimation when applied to scenarios with heterogeneous span profiles and sparsely occupied links. Our approach significantly outperforms the widely used lightpath-level QoT estimation.(c) 2022 The Author(s)

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关键词

analytical formula,flexible optical network,generalized signal-to-noise ratio,heterogeneous span profiles,machine learning-assisted GSNR estimation,QoT estimation,quality of transmission,sparsely occupied links

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