Intelligent constellation diagram analyzer using convolutional neural network-based deep learning

D Wang, M Zhang, J Li, Z Li, J Li, C Song, X Chen - Optics express, 2017 - opg.optica.org
An intelligent constellation diagram analyzer is proposed to implement both modulation
format recognition (MFR) and optical signal-to-noise rate (OSNR) estimation by using …

Machine learning techniques in radio-over-fiber systems and networks

J He, J Lee, S Kandeepan, K Wang - Photonics, 2020 - mdpi.com
The radio-over-fiber (RoF) technology has been widely studied during the past decades to
extend the wireless communication coverage by leveraging the low-loss and broad …

K-means-clustering-based fiber nonlinearity equalization techniques for 64-QAM coherent optical communication system

J Zhang, W Chen, M Gao, G Shen - Optics express, 2017 - opg.optica.org
In this work, we proposed two k-means-clustering-based algorithms to mitigate the fiber
nonlinearity for 64-quadrature amplitude modulation (64-QAM) signal, the training-sequence …

A survey on machine learning for optical communication [machine learning view]

MA Amirabadi - arXiv preprint arXiv:1909.05148, 2019 - arxiv.org
Machine Learning (ML) for Optical Communication (OC) is certainly a hot topic emerged
recently and will continue to raise interest at least for the next few years. The rate of research …

Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

D Zibar, O Winther, N Franceschi, R Borkowski… - Optics express, 2012 - opg.optica.org
In this paper, we show numerically and experimentally that expectation maximization (EM)
algorithm is a powerful tool in combating system impairments such as fibre nonlinearities …

Nonlinear compensation of multi-CAP VLC system employing clustering algorithm based perception decision

X Lu, K Wang, L Qiao, W Zhou, Y Wang… - IEEE Photonics …, 2017 - ieeexplore.ieee.org
Nonlinearities induced by the electrical amplifiers and the optoelectronic devices can be
detrimental effects in visible light communication (VLC) systems. In this paper, clustering …

Nonlinear compensation based on K-means clustering algorithm for Nyquist PAM-4 VLC system

J Ma, J He, J Shi, Z Zhou, R Deng - IEEE Photonics …, 2019 - ieeexplore.ieee.org
In visible light communication (VLC) systems, the nonlinear effects induced by many
devices, such as the electrical amplifiers and optoelectronic devices, can significantly …

Experimental demonstration and performance enhancement of 5G NR multiband radio over fiber system using optimized digital predistortion

MU Hadi, M Awais, M Raza, MI Ashraf, J Song - Applied Sciences, 2021 - mdpi.com
This paper presents an experimental realization of multiband 5G new radio (NR) optical front
haul (OFH) based radio over fiber (RoF) system using digital predistortion (DPD). A novel …

System impairment compensation in coherent optical communications by using a bio-inspired detector based on artificial neural network and genetic algorithm

D Wang, M Zhang, Z Li, C Song, M Fu, J Li… - Optics Communications, 2017 - Elsevier
A bio-inspired detector based on the artificial neural network (ANN) and genetic algorithm is
proposed in the context of a coherent optical transmission system. The ANN is designed to …

Robust weighted K-means clustering algorithm for a probabilistic-shaped 64QAM coherent optical communication system

X Wang, Q Zhang, X Xin, R Gao, Q Tian, F Tian… - Optics …, 2019 - opg.optica.org
A novel weighted K-means scheme for a probabilistic-shaped (PS) 64 quadrature amplitude
modulation (QAM) signal is proposed in order to locate the decision points more accurately …