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

Low-cost Coherent Transceivers with Quantization Noise Mitigation Function Enabled by Neural Networks

Not Accessible

Your library or personal account may give you access

Abstract

We investigate performance of symbol decision based on neural networks in the presence of severe quantization noise for the first time. Simulations show 2 dB improvement when 256-QAM signals are generated with 6-bit DACs.

© 2023 The Author(s)

PDF Article
More Like This
Few-bit Quantization of Neural Networks for Nonlinearity Mitigation in a Fiber Transmission Experiment

Jamal Darweesh, Nelson Costa, Antonio Napoli, Bernhard Spinnler, Yves Jaouën, and Mansoor Yousefi
We4C.4 European Conference and Exhibition on Optical Communication (ECOC) 2022

Noisy samples-robust Neural Network Equalizer for Coherent Optical Transceiver Nonlinearity Compensation

Zicai Cao, Shuchang Yao, Longquan Dai, Ziheng Zhang, Jing Dai, Ming Luo, Xi Xiao, Yaqin Wang, Qi Yang, Deming Liu, and Lei Deng
W2B.14 Optical Fiber Communication Conference (OFC) 2023

Quantization Noise Mitigating Based on Modified Nonuniform Quantization in Learned Digital Backpropagation

Xiangyu Yang, Du Tang, Zhen Wu, and Yaojun Qiao
T4A.114 Asia Communications and Photonics Conference (ACP) 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.