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

ANN-Based Transfer Learning for QoT Prediction in Real-Time Mixed Line-Rate Systems

Not Accessible

Your library or personal account may give you access

Abstract

Quality of transmission prediction for real-time mixed line-rate systems is realized using artificial neural network based transfer learning with SDN orchestrating. 0.42 dB accuracy is achieved with a 1000 to 20 reduction in training samples.

© 2018 The Author(s)

PDF Article
More Like This
986 km Field Trial of Cascaded ANN-based Link-Penalty Models for QoT Prediction

R. Yang, S. Shen, H. Li, Z. Shi, R. Wang, R. Nejabati, S. Yan, and D. Simeonidou
W4G.5 Optical Fiber Communication Conference (OFC) 2023

Which Features Most Impact: Prediction of ANN-Based Lightpath Quality of Transmission?

Longfei Li, Gangxiang Shen, Xiaodong Fu, Shuiping Jie, and Sanjay Kumar Bose
Su3E.4 Asia Communications and Photonics Conference (ACP) 2018

Sample Distribution Matching Based Transfer Learning for QoT Estimation in Optical Networks

Tangze Qin, Zhiqun Gu, Jiawei Zhang, Yuhang Zhou, and Yuefeng Ji
T1C.4 Asia Communications and Photonics Conference (ACP) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved