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A Fully Connected Neural Network to Mitigate 200G DP-16-QAM Transmission System Impairments

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Abstract

We show here the efficiency of neural network to assist the linear DSP for mitigating 200G DP-16QAM transmission system impairments. We measure up to 1-dB Q-factor improvement in our Nx100-km G.652 fiber link experiment.

© 2020 The Author(s)

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More Like This
Probabilistic-Shaping DP-16QAM CFP-DCO Transceiver for 200G Upgrade of Legacy Metro/Regional WDM Infrastructure

Y. Loussouarn and E. Pincemin
M2D.2 Optical Fiber Communication Conference (OFC) 2020

Volterra Filtering for Nonlinearity Impairment Mitigation in DP-16QAM and DP-QPSK Fiber Optic Communication Systems

Zhaoyi Pan, Benoît Châtelain, Mathieu Chagnon, and David V. Plant
JThA040 National Fiber Optic Engineers Conference (NFOEC) 2011

Performance Improvement of Nyquist DP-16QAM Over 600km System Using ANN-enhanced Post-equalization

C. P. Tsekrekos, C. Sánchez Costa, M. A. Z. Al-Khateeb, F. Wen, O. Sidelnikov, and S. Sygletos
STh1C.4 CLEO: Science and Innovations (CLEO_SI) 2018

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