High-efficient Equalizer based on the simplified Deep Neural Network for 56Gb/s/λ PAM-4 in C-band 10G DML-based Short reach system

Yu Xi; Chenyu Wang; Xin Miao; Meihua Bi; Meihua Bi; Weisheng Hu

doi:10.1364/ACPC.2020.M4A.324

Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC)
OSA Technical Digest (Optica Publishing Group, 2020),
paper M4A.324
•https://doi.org/10.1364/ACPC.2020.M4A.324

High-efficient Equalizer based on the simplified Deep Neural Network for 56Gb/s/λ PAM-4 in C-band 10G DML-based Short reach system

Yu Xi, Chenyu Wang, Xin Miao, Meihua Bi, and Weisheng Hu

Asia Communications and Photonics Conference 2020

Beijing China
24–27 October 2020
ISBN: 978-1-943580-82-8

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Y. Xi, C. Wang, X. Miao, M. Bi, and W. Hu, "High-efficient Equalizer based on the simplified Deep Neural Network for 56Gb/s/λ PAM-4 in C-band 10G DML-based Short reach system," in Asia Communications and Photonics Conference/International Conference on Information Photonics and Optical Communications 2020 (ACP/IPOC), K. Xu, D. Simeonidou, C. Chang-Hasnain, N. Wada, X. Ren, Z. Zhukov, P. Perry Shum, Y. Ji, J. Zhang, X. Zhou, C. Lu, and L. Wosinska, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper M4A.324.

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Abstract

We demonstrate a superior DNN equalizer to improve performance of DML-based short-distance optical transmission systems. The corresponding results show that this scheme can achieve low bit-error-rate in C-band and exhibit excellent nonlinear suppression capabilities.

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