Learning-based digital back propagation to compensate for fiber nonlinearity considering self-phase and cross-phase modulation for wavelength-division multiplexed systems

Learning-based digital back propagation to compensate for fiber nonlinearity considering self-phase and cross-phase modulation for wavelength-division multiplexed systems

We propose a learning-based digital back propagation (LDBP) technique that addresses self-phase modulation (SPM) and cross-phase modulation (XPM) of a wavelength-division multiplexed (WDM) optical signal. The LDBP has a structure defined for each of the individual channels of a WDM signal, and conne...

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Bibliographic Details
Main Authors: Inoue, T. (Author), Matsumoto, R. (Author), Namiki, S. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2022
Subjects:
amplitude modulation
article
back propagation
Back Propagation
Backpropagation
calculation
Cross-phase modulations
E-learning
Fiber nonlinearities
Gradient methods
learning
Learning process
Light transmission
Nonlinear optics
nonlinear system
Nonlinear waveform
Optimization
Performance
polarization
Quadrature amplitude modulation
Self phase modulation
Self-phase
Span configuration
stochastic model
Stochastic systems
Wave length division multiplexed (WDM)
waveform
Waveform distortions
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