Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > ACPC > 2021 > W2B > W2B.3

Visible Light Communication Channel Modeling by Experiment-Data-Driven Deep Learning

Yanwen Zhu, Dahai Han, Chuan Yang, Shengnan Li, Xiaoyun Li, and Min Zhang

Not Accessible

Your library or personal account may give you access

Abstract

An experiment-data-driven channel-modeling method based on bidirectional long short-term memory is proposed for visible light communication channels. The resulting mean absolute error is stable in a small range, reaching 0.009 without occupying spectrum resources.

© 2021 The Author(s)

PDF Article
More Like This
Data-driven Modeling Technique for Optical Communications Based on Deep Learning

Danshi Wang, Yuchen Song, and Min Zhang
M3B.3 Asia Communications and Photonics Conference (ACP) 2020

Generative Adversarial Network-based Channel Modeling for Free-Space Optical Communication

Wenbin Chen, Danshi Wang, Dongdong Wang, Yuchen Song, Jin Li, and Min Zhang
S4B.2 Optoelectronics and Communications Conference (OECC) 2021

Modulation Format Recognition based on Transfer Learning for Visible Light Communication Systems

Zhenquan Zhao, Zixian Wei, Zhaoming Wang, Yuan Zhang, Mutong Li, Faisal Nadeem Khan, and H. Y. Fu
JS2B.12 Optoelectronics and Communications Conference (OECC) 2021

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