Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML-Reference-Cited by-同舟云学术

Low-complexity nonlinear equalizer based on artificial neural network for 112 Gbit/s PAM-4 transmission using DML

Published:2021-12 Issue: Volume:67 Page:102724
ISSN:1068-5200
Container-title:Optical Fiber Technology
language:en
Short-container-title:Optical Fiber Technology

Author:

Wang Lei,Zeng Xiangye,Wang Jingyi,Gao Dongqi,Bai Mengshuai

Funder

Hebei Provincial Department of Bureau of Science and Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials,Atomic and Molecular Physics, and Optics,Instrumentation,Control and Systems Engineering

Reference28 articles.

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4. Performance comparison of 112 Gb/s DMT, Nyquist PAM4 and partial-response PAM4 for future 5G ethernet-based Fronthaul architecture;Eiselt;J. Lightwave Technol.,2018

5. Experimental study of PAM-4, CAP-16, and DMT for 100 Gb/s short reach optical transmission systems;Zhong;Opt. Express,2015

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3. Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation;Journal of Lightwave Technology;2023-07-15