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

Conference Paper (2020)
Author(s)

V. Bajaj (TU Delft - Team Sander Wahls)

Fred Buchali (Nokia Bell Labs, Stuttgart)

Mathieu Chagnon (Nokia Bell Labs, Stuttgart)

Sander Wahls (TU Delft - Team Sander Wahls)

Vahid Aref (Nokia Bell Labs, Stuttgart)

Research Group
Team Sander Wahls
Copyright
© 2020 V. Bajaj, Fred Buchali, Mathieu Chagnon, S. Wahls, Vahid Aref
DOI related publication
https://doi.org/10.1109/ECOC48923.2020.9333267
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 V. Bajaj, Fred Buchali, Mathieu Chagnon, S. Wahls, Vahid Aref
Research Group
Team Sander Wahls
ISBN (electronic)
978-1-7281-7361-0
Reuse Rights

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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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