Optical Fiber Communication Systems Based on End-to-End Deep Learning

Boris Karanov; Mathieu Chagnon; Vahid Aref; Domanic Lavery; Polina Bayvel; Laurent Schmalen

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arXiv · 2005.08785

Optical Fiber Communication Systems Based on End-to-End Deep Learning

Boris Karanov·Mathieu Chagnon·Vahid Aref·Domanic Lavery·Polina Bayvel·Laurent Schmalen

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Abstract

We investigate end-to-end optimized optical transmission systems based on feedforward or bidirectional recurrent neural networks (BRNN) and deep learning. In particular, we report the first experimental demonstration of a BRNN auto-encoder, highlighting the performance improvement achieved with recurrent processing for communication over dispersive nonlinear channels.

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Boris Karanov, Mathieu Chagnon, Vahid Aref, Domanic Lavery, Polina Bayvel, Laurent Schmalen. 2020-05-18. Optical Fiber Communication Systems Based on End-to-End Deep Learning. https://arxiv.org/abs/2005.08785

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