Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct Detection Systems

Not Accessible

Your library or personal account may give you access

Abstract

Transfer learning-aided NNs are proposed for nonlinear equalization in a 50-Gb/s 20-km PAM4 link. About 90% reduction in epochs and 56% in training symbols are achieved with NNs transferred from the most similar source system.

© 2020 The Author(s)

PDF Article
More Like This
Investigation on the Impact of Additional Connections to Feedforward Neural Networks for Equalization in PAM4 Short-Reach Direct Detection Links

Zhaopeng Xu, Chuanbowen Sun, Tonghui Ji, Shuangyu Dong, Xian Zhou, and William Shieh
S4I.1 Asia Communications and Photonics Conference (ACP) 2020

Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems

Pedro J. Freire, Daniel Abode, Jaroslaw E. Prilepsky, and Sergei K. Turitsyn
SpM5C.6 Signal Processing in Photonic Communications (SPPCom) 2021

Towards Low Computational Complexity for Neural Network-Based Equalization in PAM4 Short-Reach Direct Detection Systems by Multi-Symbol Prediction

Zhaopeng Xu, Chuanbowen Sun, Shuangyu Dong, Jonathan H. Manton, and William Shieh
Th1A.47 Optical Fiber Communication Conference (OFC) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.