Machine-Learning Method for Quality of Transmission Prediction of Unestablished Lightpaths

Author:

Rottondi CristinaORCID,Barletta Luca,Giusti Alessandro,Tornatore MassimoORCID

Funder

H2020 Industrial Leadership

Publisher

The Optical Society

Subject

Computer Networks and Communications

Cited by 129 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited];Journal of Optical Communications and Networking;2024-01-12

2. Improving the accuracy of QoT estimation with insertion loss distribution evaluation for C + L band transmission systems;Journal of Optical Communications and Networking;2023-12-20

3. Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation;IEEE Photonics Journal;2023-12

4. Mitigating network adaptation and QoT prediction challenges in WDM networks;Journal of Optical Communications;2023-11-28

5. Neuron-level Transfer Learning for ANN-based QoT Estimation in Optical Networks;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

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