mlsanityData to 7 Oct 2026

Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems

arXiv 2205.11376 ↗First posted 23 May 2022eess.SP cs.AI cs.LGcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 8 references that are in the map. First posted on arXiv 23 May 2022.

Builds on

3 of 8 references.

References · 3

  1. 2017Nonlinear Interference Mitigation via Deep Neural Networkscited by 13
  2. 2020Physics-Based Deep Learning for Fiber-Optic Communication Systemscited by 9
  3. 2020Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensationcited by 5

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Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagationcited by 0