Machine learning applications for short reach optical communication
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …
conventionally used in long-haul transmissions have gradually entered systems covering …
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 …
Building a digital twin for intelligent optical networks [Invited Tutorial]
To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …
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 …
Data-driven optical fiber channel modeling: A deep learning approach
A data-driven fiber channel modeling method based on deep learning (DL) is introduced in
an optical communication system. In this study, bidirectional long short-term memory …
an optical communication system. In this study, bidirectional long short-term memory …
Machine learning for optical fiber communication systems: An introduction and overview
Optical networks generate a vast amount of diagnostic, control, and performance monitoring
data. When information is extracted from these data, reconfigurable network elements and …
data. When information is extracted from these data, reconfigurable network elements and …
Deep learning-based real-time analysis of lightpath optical constellations
M Ruiz, D Sequeira, L Velasco - Journal of Optical Communications …, 2022 - opg.optica.org
Optical network automation requires accurate physical layer models, not only for
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …
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 …
Performance comparisons between machine learning and analytical models for quality of transmission estimation in wavelength-division-multiplexed systems
We conduct a comprehensive comparative study of quality-of-transmission (QoT) estimation
for wavelength-division-multiplexed systems using artificial neural network (ANN)-based …
for wavelength-division-multiplexed systems using artificial neural network (ANN)-based …