Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies

Y Ji, R Gu, Z Yang, J Li, H Li, M Zhang - Science China Information …, 2020 - Springer
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …

[HTML][HTML] AI-based modeling and monitoring techniques for future intelligent elastic optical networks

X Liu, H Lun, M Fu, Y Fan, L Yi, W Hu, Q Zhuge - Applied Sciences, 2020 - mdpi.com
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …

An artificial intelligence model based on multi-step feature engineering and deep attention network for optical network performance monitoring

Y Zhou, Z Yang, Q Sun, C Yu, C Yu - Optik, 2023 - Elsevier
Optical network performance monitoring technology, which can effectively identify physical
impairment in the network, is of great significance to ensure network stability and prevent …

[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey

J Mata, I De Miguel, RJ Durán, N Merayo… - Optical switching and …, 2018 - Elsevier
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

Intent defined optical network with artificial intelligence-based automated operation and maintenance

H Yang, K Zhan, Q Yao, X Zhao, J Zhang… - Science China Information …, 2020 - Springer
Traditionally, the operation and maintenance of optical networks rely on the experience of
engineers to configure network parameters, involving command-line interface, middle-ware …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

SOON: self-optimizing optical networks with machine learning

Y Zhao, B Yan, D Liu, Y He, D Wang, J Zhang - Optics express, 2018 - opg.optica.org
As optical networks undergo rapid development, the trade-offs among higher network
service capability, and increasing operating expense (OPEX) about operations …

Multilayer network analytics with SDN-based monitoring framework

S Yan, A Aguado, Y Ou, R Wang, R Nejabati… - Journal of Optical …, 2017 - opg.optica.org
Optical transport networks with an expanding variety and volume of network data services
challenge network providers' ability to provide high-quality service assurance and network …

Programmable multilayer INT: An enabler for AI-assisted network automation

S Tang, J Kong, B Niu, Z Zhu - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
Recently, the fast development of backbone networks has made the traffic, services, and
infrastructure of packet-over-optical networks increasingly complicated. This stimulates …

Dirty-data-based alarm prediction in self-optimizing large-scale optical networks

B Yan, Y Zhao, S Rahman, Y Li, X Yu, D Liu, Y He… - Optics express, 2019 - opg.optica.org
Machine-learning-based solutions are showing promising results for several critical issues
in large-scale optical networks. Alarm (caused by failure, disaster, etc.) prediction is an …