Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
Fiber nonlinearity is one of the major limitations to the achievable capacity in long distance
fiber optic transmission systems. Nonlinear impairments are determined by the signal …
fiber optic transmission systems. Nonlinear impairments are determined by the signal …
Chaotic optical communication over 1000 km transmission by coherent detection
Chaotic optical communication was originally proposed to provide high-level physical layer
encryption. For high-speed and long-distance transmission, chaotic signal is very sensitive …
encryption. For high-speed and long-distance transmission, chaotic signal is very sensitive …
Deep learning based digital backpropagation demonstrating SNR gain at low complexity in a 1200 km transmission link
A deep learning (DL) based digital backpropagation (DBP) method with a 1 dB SNR gain
over a conventional 1 step per span DBP is demonstrated in a 32 GBd 16QAM transmission …
over a conventional 1 step per span DBP is demonstrated in a 32 GBd 16QAM transmission …
Reducing the complexity of perturbation based nonlinearity pre-compensation using symmetric EDC and pulse shaping
Perturbation based nonlinearity pre-compensation has been performed for a 128 Gbit/s
single-carrier dual-polarization 16-ary quadrature-amplitude-modulation (DP 16-QAM) …
single-carrier dual-polarization 16-ary quadrature-amplitude-modulation (DP 16-QAM) …
Combatting nonlinear phase noise in coherent optical systems with an optimized decision processor based on machine learning
D Wang, M Zhang, Z Cai, Y Cui, Z Li, H Han, M Fu… - Optics …, 2016 - Elsevier
An effective machine learning algorithm, the support vector machine (SVM), is presented in
the context of a coherent optical transmission system. As a classifier, the SVM can create …
the context of a coherent optical transmission system. As a classifier, the SVM can create …
Multi-stage perturbation theory for compensating intra-channel nonlinear impairments in fiber-optic links
A recursive perturbation theory to model the fiber-optic system is developed. Using this
perturbation theory, a multi-stage compensation technique to mitigate the intra-channel …
perturbation theory, a multi-stage compensation technique to mitigate the intra-channel …
Combined neural network and adaptive DSP training for long-haul optical communications
Machine Learning (ML) algorithms have shown to complement standard digital signal
processing (DSP) tools in mitigating fiber nonlinearity and improving long-haul transmission …
processing (DSP) tools in mitigating fiber nonlinearity and improving long-haul transmission …
25.4-Tb/s transmission over transpacific distances using truncated probabilistically shaped PDM-64QAM
IF de Jauregui Ruiz, A Ghazisaeidi… - Journal of Lightwave …, 2018 - ieeexplore.ieee.org
Probabilistic constellation shaping (PCS), digital nonlinear compensation, and multirate
spatially coupled low-density parity check codes are used to achieve 25.4-Tb/s transmission …
spatially coupled low-density parity check codes are used to achieve 25.4-Tb/s transmission …
A fiber nonlinearity compensation scheme with complex-valued dimension-reduced neural network
P He, F Wu, M Yang, A Yang, P Guo… - IEEE Photonics …, 2021 - ieeexplore.ieee.org
A fiber nonlinearity compensation scheme based on a complex-valued dimension-reduced
neural network is proposed. The proposed scheme performs all calculations in complex …
neural network is proposed. The proposed scheme performs all calculations in complex …
XPM model-based digital backpropagation for subcarrier-multiplexing systems
An advanced digital backpropagation (ADBP) algorithm is proposed to compensate fiber
nonlinearities in subcarrier-multiplexing (SCM) systems. We derive the analytical expression …
nonlinearities in subcarrier-multiplexing (SCM) systems. We derive the analytical expression …