Machine learning for intelligent optical networks: A comprehensive survey
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …
services and technologies, communication networks have been suffering increasing …
800G DSP ASIC design using probabilistic shaping and digital sub-carrier multiplexing
H Sun, M Torbatian, M Karimi, R Maher… - Journal of lightwave …, 2020 - opg.optica.org
The design of application-specific integrated circuits (ASIC) is at the core of modern ultra-
high-speed transponders employing advanced digital signal processing (DSP) algorithms …
high-speed transponders employing advanced digital signal processing (DSP) algorithms …
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 method for quality of transmission prediction of unestablished lightpaths
Predicting the quality of transmission (QoT) of a lightpath prior to its deployment is a step of
capital importance for an optimized design of optical networks. Due to the continuous …
capital importance for an optimized design of optical networks. Due to the continuous …
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 …
Learning process for reducing uncertainties on network parameters and design margins
In this paper, we propose to lower the network design margins by improving the estimation
of the signal-to-noise ratio (SNR) given by a quality of transmission (QoT) estimator, for new …
of the signal-to-noise ratio (SNR) given by a quality of transmission (QoT) estimator, for new …
Inverse system design using machine learning: the Raman amplifier case
A wide range of highly–relevant problems in programmable and integrated photonics,
optical amplification, and communication deal with inverse system design. Typically, a …
optical amplification, and communication deal with inverse system design. Typically, a …
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 …
BER degradation detection and failure identification in elastic optical networks
Optical connections support virtual links in MPLS-over-optical multilayer networks and
therefore, errors in the optical layer impact on the quality of the services deployed on such …
therefore, errors in the optical layer impact on the quality of the services deployed on such …