Bi-directional gated recurrent unit neural network based nonlinear equalizer for coherent optical communication system
X Liu, Y Wang, X Wang, H Xu, C Li, X **n - Optics Express, 2021 - opg.optica.org
We propose a bi-directional gated recurrent unit neural network based nonlinear equalizer
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …
Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM
Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot
of interest in optical fiber communications due to its simplified digital signal processing …
of interest in optical fiber communications due to its simplified digital signal processing …
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 …
K-means-clustering-based fiber nonlinearity equalization techniques for 64-QAM coherent optical communication system
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 …
nonlinearity for 64-quadrature amplitude modulation (64-QAM) signal, the training-sequence …
Convolutional neural network-aided DP-64 QAM coherent optical communication systems
Optical nonlinearity impairments have been a major obstacle for high-speed, long-haul and
large-capacity optical transmission. In this paper, we propose a novel convolutional neural …
large-capacity optical transmission. In this paper, we propose a novel convolutional neural …
Brillouin optical time-domain analyzer assisted by support vector machine for ultrafast temperature extraction
Brillouin optical time-domain analyzer (BOTDA) assisted by support vector machine (SVM)
for ultrafast temperature extraction is proposed and experimentally demonstrated. The …
for ultrafast temperature extraction is proposed and experimentally demonstrated. The …
A neuromorphic silicon photonics nonlinear equalizer for optical communications with intensity modulation and direct detection
We present the design and numerical study of a nonlinear equalizer for optical
communications based on silicon photonics and reservoir computing. The proposed …
communications based on silicon photonics and reservoir computing. The proposed …
Reduction of nonlinear intersubcarrier intermixing in coherent optical OFDM by a fast newton-based support vector machine nonlinear equalizer
A fast Newton-based support vector machine (N-SVM) nonlinear equalizer (NLE) is
experimentally demonstrated, for the first time, in 40 Gb/s 16-quadrature amplitude …
experimentally demonstrated, for the first time, in 40 Gb/s 16-quadrature amplitude …
Optical fiber nonlinearity equalizer with support vector regression based on perturbation theory
C Li, Y Wang, L Han, S Chen, Q Zhang, L Yang… - Optics …, 2022 - Elsevier
With the development of high-speed and large-capacity optical fiber communication
technology, nonlinear damage has been one great obstacle to the development of optical …
technology, nonlinear damage has been one great obstacle to the development of optical …
QAM classification methods by SVM machine learning for improved optical interconnection
High-order quadrature amplitude modulation (QAM) formats are very effective for increasing
the transmission capacity due to the highly increased spectral efficiency. However, the …
the transmission capacity due to the highly increased spectral efficiency. However, the …