Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems
Mohannad Abu-romoh (1), Nelson Costa (2), Antonio Napoli (3), Bernhard, Spinnler (3), Yves Jaou\"en (1), Mansoor Yousefi (1) ((1) T\'el\'ecom Paris,, (2) Infinera, Portugal, (3) Infinera, Germany)
TL;DR
This paper introduces learned digital back-propagation (LDBP) for dual-polarization dispersion-managed systems, significantly improving signal quality by mitigating nonlinear effects more effectively than traditional methods.
Contribution
The paper presents a novel learned DBP approach tailored for dual-polarization dispersion-managed systems, demonstrating superior performance over existing linear and DBP methods.
Findings
LDBP improves Q-factor by 1.8 dB over linear equalization.
LDBP improves Q-factor by 1.2 dB over traditional DBP.
LDBP effectively mitigates nonlinear impairments in complex optical systems.
Abstract
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.
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Taxonomy
TopicsOptical Network Technologies · Advanced Photonic Communication Systems · Advanced Optical Network Technologies