Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems
arXiv:2205.11376v13 citationsh-index: 36
Originality Incremental advance
AI Analysis
This work addresses signal degradation in optical fiber communication systems, offering incremental improvements for enhanced data transmission performance.
The paper tackles nonlinearity mitigation in WDM dual-polarization dispersion-managed systems by proposing learned digital back-propagation (LDBP), achieving Q-factor improvements of 1.8 dB over linear equalization and 1.2 dB over a variant of DBP adapted to such systems.
Digital back-propagation (DBP) and learned DBP (LDBP) are proposed for nonlinearity mitigation in WDM dual-polarization dispersion-managed systems. LDBP achieves Q-factor improvement of 1.8 dB and 1.2 dB, respectively, over linear equalization and a variant of DBP adapted to DM systems.