Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects

We propose an L1-regularized multilayer neural network nonlinear equalizer (L1PML-NLE) for inter-data-center interconnects. Compared with conventional and sparse VNLE, the L1PML-NLE reduces 81% and 57.8% complexity with improved BER performance for 40-km 112-Gb/s PAM4 transmission.

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Bibliographic Details
Main Authors: Yadav, Govind Sharan, Chuang, Chun-Yen, Feng, Kai-Ming, Chen, Jyehong, Chen, Young-Kai
Format: Conference Proceeding
Language:English
Subjects:
Computational complexity
Equalizers
Neural networks
Nonhomogeneous media
Optical interconnections
System performance
Online Access:Request full text
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Description
Summary:We propose an L1-regularized multilayer neural network nonlinear equalizer (L1PML-NLE) for inter-data-center interconnects. Compared with conventional and sparse VNLE, the L1PML-NLE reduces 81% and 57.8% complexity with improved BER performance for 40-km 112-Gb/s PAM4 transmission.
ISSN:2166-8892
DOI:10.1364/OECC.2021.S3A.3