期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Challenges and Prospects of Machine Learning in Visible Light Communication 被引量:1
1
作者 Nan Chi Junlian Jia +2 位作者 Fangchen Hu Yiheng Zhao Peng Zou 《Journal of Communications and Information Networks》 CSCD 2020年第3期302-309,共8页
Visible light communication(VLC)is a promising research field in modern wireless communication.VLC has its irreplaceable strength including rich spectrum resources,no electromagnetic disturbance,and high-security guar... Visible light communication(VLC)is a promising research field in modern wireless communication.VLC has its irreplaceable strength including rich spectrum resources,no electromagnetic disturbance,and high-security guarantee.However,VLC systems suffer from the non-linear effects that exist in almost every part of the system.As a part of artificial intelligence,machine learning(ML)is showing its potential in non-linear mitigating for its natural ability to fit all kinds of transfer functions,which may dramatically push the research in VLC.This paper introduces the application of ML in VLC,describes five recent research of deep learning applications in VLC,and analyses the performance. 展开更多
关键词 visual light communication machine learning artificial intelligence deep learning neural network
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部