ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems
Abstract
We propose a digital backpropagation method that employs machine-learning-aided joint optimization of dispersion step lengths and nonlinear phase rotation filters within an FFT-based enhanced split-step Fourier structure, achieving improved accuracy at low computational complexity.
Fields of Study & Subjects
Optical Network Technologies
Advanced Photonic Communication Systems
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- arXiv (Cornell University)
- Publication date
- 27 January 2026
- Document type
- Preprint