Single-channel 1.61 Tb/s optical coherent transmission enabled by neural network-based digital pre-distortion

Conference paper (2020)

Authors

V. Bajaj Team Sander Wahls - Mechanical, Maritime and Materials Engineering
Fred Buchali Nokia Bell Labs, Stuttgart
Mathieu Chagnon Nokia Bell Labs, Stuttgart
S. Wahls Team Sander Wahls - Mechanical, Maritime and Materials Engineering
Vahid Aref Nokia Bell Labs, Stuttgart
Research Group
Team Sander Wahls (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2020 V. Bajaj, Fred Buchali, Mathieu Chagnon, S. Wahls, Vahid Aref
DOI: https://doi.org/10.1109/ECOC48923.2020.9333267
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Sander Wahls

Abstract

We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate optical coherent transmitters. We demonstrate experimentally that it outperforms an optimized linear DPD giving a 1.2 dB SNR gain in a 128GBaud PCS-256QAM single-channel transmission over 80km of standard single-mode fiber resulting in a record 1.61 Tb/s net data rate.

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