Experimental Investigation of Spectral Data Enhanced QoT Estimation
Author:
Affiliation:
1. Chair of Communications, Kiel University, Kiel, Germany
Funder
CELTIC-NEXT
German Federal Ministry of Education and Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/50/10234127/10114628.pdf?arnumber=10114628
Reference30 articles.
1. Lightpath QoT computation in optical networks assisted by transfer learning
2. Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds
3. Exact component parameter agnostic QoT estimation using spectral data-driven LSTM in optical networks
4. Constellation-based identification of linear and nonlinear OSNR using machine learning: a study of link-agnostic performance
5. Optimized Flexible Mappings with Multidimensional Modulation for Coherent Optical Transport
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1. Experimental investigation of machine-learning-based soft-failure management using the optical spectrum;Journal of Optical Communications and Networking;2024-01-18
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