Single-channel 1.61 Tb/s optical coherent transmission enabled by neural network-based digital pre-distortion
V. Bajaj (TU Delft - Mechanical Engineering)
Fred Buchali (Nokia Bell Labs, Stuttgart)
Mathieu Chagnon (Nokia Bell Labs, Stuttgart)
S. Wahls (TU Delft - Mechanical Engineering)
Vahid Aref (Nokia Bell Labs, Stuttgart)
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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.