A High-Security Probabilistic Constellation Shaping Transmission Scheme Based on Recurrent Neural Networks

A High-Security Probabilistic Constellation Shaping Transmission Scheme Based on Recurrent Neural Networks

In this paper, a high-security probabilistic constellation shaping transmission scheme based on recurrent neural networks (RNNs) is proposed, in which the constellation point probabilistic distribution is generated based on recurrent neural network training. A 4D biplane fractional-order chaotic sys...

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Bibliographic Details
Main Authors: Shuyu Zhou, Bo Liu, Jianxin Ren, Yaya Mao, Xiangyu Wu, Zeqian Guo, Xu Zhu, Zhongwen Ding, Mengjie Wu, Feng Wang, Rahat Ullah, Yongfeng Wu, Lilong Zhao, Ying Li
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Photonics
Subjects:
probabilistic constellation shaping
recurrent neural networks
biplane fractional-order chaotic systems
physical layer security
Online Access:https://www.mdpi.com/2304-6732/10/10/1078

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