[HTML][HTML] Orbital angular momentum and beyond in free-space optical communications
Orbital angular momentum (OAM), which describes tailoring the spatial physical dimension
of light waves into a helical phase structure, has given rise to many applications in optical …
of light waves into a helical phase structure, has given rise to many applications in optical …
An overview on application of machine learning techniques in optical networks
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …
heterogeneous data. This information can be retrieved from network traffic traces, network …
Modulation format recognition and OSNR estimation using CNN-based deep learning
D Wang, M Zhang, Z Li, J Li, M Fu… - IEEE Photonics …, 2017 - ieeexplore.ieee.org
An intelligent eye-diagram analyzer is proposed to implement both modulation format
recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using a convolution …
recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using a convolution …
Intelligent constellation diagram analyzer using convolutional neural network-based deep learning
An intelligent constellation diagram analyzer is proposed to implement both modulation
format recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using …
format recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using …
Digital signal processing for coherent transceivers employing multilevel formats
Digital coherent transceivers have revolutionized optical fiber communications due to their
superior performance offered compared to intensity modulation and direct detection based …
superior performance offered compared to intensity modulation and direct detection based …
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 …
Joint atmospheric turbulence detection and adaptive demodulation technique using the CNN for the OAM-FSO communication
J Li, M Zhang, D Wang, S Wu, Y Zhan - Optics express, 2018 - opg.optica.org
A novel joint atmospheric turbulence (AT) detection and adaptive demodulation technique
based on convolutional neural network (CNN) are proposed for the OAM-based free-space …
based on convolutional neural network (CNN) are proposed for the OAM-based free-space …
Failure prediction using machine learning and time series in optical network
In this paper, we propose a performance monitoring and failure prediction method in optical
networks based on machine learning. The primary algorithms of this method are the support …
networks based on machine learning. The primary algorithms of this method are the support …
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 …
Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems
We investigate the application of dynamic deep neural networks for nonlinear equalization
in long haul transmission systems. Through extensive numerical analysis we identify their …
in long haul transmission systems. Through extensive numerical analysis we identify their …