Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2019 > W2A > W2A.51

Improving DML-based OFDM Transmission by a Filter-aided Neural Network Equalizer

Wei-Hsiang Huang, Chung-Wen Wang, Chia-Chien Wei, Hidenori Taga, and Takehiro Tsuritani

Not Accessible

Your library or personal account may give you access

Abstract

We propose a filter-aided NN to compensate 10G-DML-based OFDM transmission, avoiding low-frequency SNR degradation. After 100-and 150-km SMF, the data rates are increased by 95 and 130% to achieve ∼40 and 32 Gbps, respectively.

© 2019 The Author(s)

PDF Article
More Like This
Nonlinear Pre-Distortion in DML-based OFDM Transmission Enabled by Low-Complexity Sparse Volterra Filtering

Kuang-Yu Ku, Yu-Cheng Yu, Shiuan-Mao Chi, and Chia-Chien Wei
Th1H.7 Optical Fiber Communication Conference (OFC) 2022

Elimination of Nonlinear Distortion in DML-based OFDM Transmission Using Novel Pre-distortion

Szu-Chi Huang, Yu-Cheng Yu, Chia-Chien Wei, Chin Shih Huang, Hao Chun Hsieh, Hung Chun Pan, Wei-Jo Ting, and Heng Li
CTuA9C_04 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2022

Artificial Neural Network Equalizers for PAM-4 Using DML-on-Silicon

Nikolaos-Panteleimon Diamantopoulos, Takuro Fujii, Hidetaka Nishi, Koji Takeda, Takaaki Kakitsuka, and Shinji Matsuo
ci_3_2 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2019

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use