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arXiv · 2411.10101

Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications

Laurent Schmalen·Vincent Lauinger·Jonas Ney·Norbert Wehn·Patrick Matalla·Sebastian Randel·Alexander von Bank·Eike-Manuel Edelmann
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Abstract

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.

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Laurent Schmalen, Vincent Lauinger, Jonas Ney, Norbert Wehn, Patrick Matalla, Sebastian Randel, Alexander von Bank, Eike-Manuel Edelmann. 2024-11-15. Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications. https://arxiv.org/abs/2411.10101

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