Intelligent design of optical networks: which topology features help maximise throughput in the nonlinear regime?-Reference-Cited by-同舟云学术

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Intelligent design of optical networks: which topology features help maximise throughput in the nonlinear regime?

Published:2020-12 Issue: Volume: Page:
ISSN:
Container-title:2020 European Conference on Optical Communications (ECOC)
language:
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Author:

Bayvel Polina,Luo Ruijie,Matzner Robin,Semrau Daniel,Zervas Georgios

Funder

EPSRC

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9332916/9333039/09333263.pdf?arnumber=9333263

Cited by 7 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. Interpreting multi-objective reinforcement learning for routing and wavelength assignment in optical networks;Journal of Optical Communications and Networking;2023-07-18

2. Intelligent performance inference: A graph neural network approach to modeling maximum achievable throughput in optical networks;APL Machine Learning;2023-05-19

3. Key physical topology features for optical backbone networks via a multilayer correlation analysis;Journal of Optical Communications and Networking;2023-04-14

4. Exploring the relationship among traffic, topology, and throughput: towards a traffic-optimal optical network topology design;Journal of Optical Communications and Networking;2023-01-30

5. Impact of Physical Topology Features on Performance of Optical Backbone Networks;2022 International Conference on Optical Network Design and Modeling (ONDM);2022-05-16

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