Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
In this paper, we highlight recent advances in the use of machine learning for implementing equalizers for optical communications. We highlight both algorithmic advances as well as implementation aspects using conventional and neuromorphic hardware.
Authors
- Vincent Lauinger (ORCID: https://orcid.org/0000-0002-4128-2302)
- Jonas Ney
- Patrick Matalla
- Laurent Schmalen (ORCID: https://orcid.org/0000-0002-1459-9128)
- Norbert Wehn (ORCID: https://orcid.org/0000-0002-9010-086X)
- Sebastian Randel
- Eike-Manuel Edelmann
- Alexander von Bank
Institutions
- Karlsruhe Institute of Technology (DE)
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/ofc.2025.w4h.1
- Citations
- 2
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 1.46