A Learning-Based End-to-End Wireless Communication System Utilizing a Deep Neural Network Channel Module

A Learning-Based End-to-End Wireless Communication System Utilizing a Deep Neural Network Channel Module

The existing end-to-end (E2E) wireless communication systems require fewer communication modules and have a simple processing signal flow, compared to conventional wireless communication systems. However, in the absence of a differentiable channel model, it is impossible to train transmitters, used...

Full description

Bibliographic Details
Main Authors: Yongli An, Shaomeng Wang, Li Zhao, Zhanlin Ji, Ivan Ganchev
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
End-to-end wireless communication system
autoencoder
deep learning
deep neural network (DNN)
Online Access:https://ieeexplore.ieee.org/document/10044681/

Internet

https://ieeexplore.ieee.org/document/10044681/

Similar Items