AI-based modeling and monitoring techniques for future intelligent elastic optical networks
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 …
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …
dramatically increased owing to the deployment of advanced coherent techniques, and the …
Artificial intelligence based quality of transmission predictive model for cognitive optical networks
Due to the advancements in 5 G technologies, high-definition, and the internet of things
(IoT), the capacity demand of optical networks has been exponentially increased. Optical …
(IoT), the capacity demand of optical networks has been exponentially increased. Optical …
Machine learning techniques for quality of transmission estimation in optical networks
Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …
(ML) has recently been the focus of a large body of research. We discuss the sources of …
Machine learning regression for QoT estimation of unestablished lightpaths
Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment
is of pivotal importance for effective decision making in resource allocation for optical …
is of pivotal importance for effective decision making in resource allocation for optical …
Application of machine learning in fiber nonlinearity modeling and monitoring for elastic optical networks
Fiber nonlinear interference (NLI) modeling and monitoring are the key building blocks to
support elastic optical networks. In the past, they were normally developed and investigated …
support elastic optical networks. In the past, they were normally developed and investigated …
Accurate quality of transmission estimation with machine learning
I Sartzetakis, KK Christodoulopoulos… - Journal of Optical …, 2019 - opg.optica.org
In optical transport networks the quality of transmission (QoT) is estimated before
provisioning new connections or upgrading existing ones. Traditionally, a physical layer …
provisioning new connections or upgrading existing ones. Traditionally, a physical layer …
Assessing transmission excellence and flow detection based on Machine Learning
A Suresh, R Kishorekumar, MS Kumar… - Optical and Quantum …, 2022 - Springer
Excellence in transmission can be assessed in optical transport networks before providing
any additional connections or upgrading the connections. Generally, the Physical Layer …
any additional connections or upgrading the connections. Generally, the Physical Layer …
A survey on QoT prediction using machine learning in optical networks
In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …
source to destination (s). When the optical signal transmits through the fiber links and optical …
OCATA: a deep-learning-based digital twin for the optical time domain
The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …
multiple applications for network operation, including automation and fault management. In …