[HTML][HTML] 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 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 techniques in optical networks: a systematic mapping study
G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
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 …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
Machine-learning-based lightpath QoT estimation and forecasting
S Allogba, S Aladin, C Tremblay - Journal of Lightwave Technology, 2022 - opg.optica.org
Machine learning (ML) is more and more used to address the challenges of managing the
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …
Survey on the use of machine learning for quality of transmission estimation in optical transport networks
Estimating the Quality of Transmission (QoT) of the optical signal from source to destination
nodes is the cornerstone of design engineering and service provisioning in optical transport …
nodes is the cornerstone of design engineering and service provisioning in optical transport …
Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds
E Seve, J Pesic, Y Pointurier - Journal of Optical Communications …, 2021 - opg.optica.org
By associating machine learning and an analytical model (ie, the Gaussian noise model),
we reduce uncertainties on the output power profile and the noise figure of each amplifier in …
we reduce uncertainties on the output power profile and the noise figure of each amplifier in …
ANN-based multi-channel QoT-prediction over a 563.4-km field-trial testbed
In this article, artificial neural network (ANN)-based multi-channel Q-factor prediction is
investigated with real-time network operation and configuration information over a 563.4-km …
investigated with real-time network operation and configuration information over a 563.4-km …