Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning
arXiv:1807.01545v123 citations
AI Analysis
This addresses the challenge of high computational cost in digital backpropagation for optical communication systems, though it appears incremental as it builds on existing methods with specific optimizations.
The paper tackles the problem of compensating nonlinear distortions in optical fiber communication by proposing a low-complexity subband processing method, achieving a 2.8 dB SNR improvement over linear equalization for a 96-Gbaud signal over 2500 km.
We propose a low-complexity sub-banded DSP architecture for digital backpropagation where the walk-off effect is compensated using simple delay elements. For a simulated 96-Gbaud signal and 2500 km optical link, our method achieves a 2.8 dB SNR improvement over linear equalization.