Litcius/Paper detail

Single-channel 1.61 Tb/s Optical Coherent Transmission Enabled by Neural Network-Based Digital Pre-Distortion

Vinod Bajaj, Fred Buchali, Mathieu Chagnon, Sander Wahls, Vahid Aref

202048 citationsDOI

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.

Topics & Concepts

Transmission (telecommunications)Computer scienceDistortion (music)Artificial neural networkChannel (broadcasting)Quadrature amplitude modulationElectronic engineeringSingle-mode optical fiberData transmissionOptical fiberTelecommunicationsBit error rateBandwidth (computing)Artificial intelligenceComputer networkEngineeringAmplifierOptical Network TechnologiesAdvanced Photonic Communication SystemsSemiconductor Lasers and Optical Devices