Enhancing Lightpath QoT Computation With Machine Learning in Partially Disaggregated Optical Networks-Reference-Cited by-同舟云学术

Enhancing Lightpath QoT Computation With Machine Learning in Partially Disaggregated Optical Networks

Published:2021 Issue: Volume:2 Page:564-574
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

D'Amico Andrea^ORCID,Straullu Stefano,Borraccini Giacomo^ORCID,London Elliot,Bottacchi Stefano,Piciaccia Stefano,Tanzi Alberto,Nespola Antonino,Galimberti Gabriele^ORCID,Swail Scott,Curri Vittorio

Funder

European Union Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8782661/9309127/09382009.pdf?arnumber=9382009

Cited by 20 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. Optical Amplified Line Self-Healing Using GNPy as a Service by the SDN Control;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

2. GNPy Experimental Validation in a C+L Multiband Optical Multiplex Section;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

3. Improving Optical Transmission Performance in Multi- Channel Networks Utilizing CNN-Enabled Digital Signal Processing to Mitigate Four-Wave Mixing;2024-02-23

4. Machine Learning Model for Traffic Prediction and Pattern Extraction in High-Speed Optical Networks;Lecture Notes in Networks and Systems;2024

5. Open-source data for QoT estimation in optical networks from Alibaba;Journal of Optical Communications and Networking;2023-12-19