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 …
communication modules and have a simple processing signal flow, compared to …
Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels
In this article, we develop an end-to-end wireless communication system using deep neural
networks (DNNs), where DNNs are employed to perform several key functions, including …
networks (DNNs), where DNNs are employed to perform several key functions, including …
Channel agnostic end-to-end learning based communication systems with conditional GAN
In this article, we use deep neural networks (DNNs) to develop an end-to-end wireless
communication system, in which DNNs are employed for all signal-related functionalities …
communication system, in which DNNs are employed for all signal-related functionalities …
Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities
In modern wireless communication systems, wireless channel modeling has always been a
fundamental task in system design and performance optimization. Traditional channel …
fundamental task in system design and performance optimization. Traditional channel …
Residual-aided end-to-end learning of communication system without known channel
Leveraging powerful deep learning techniques, the end-to-end (E2E) learning of
communication system is able to outperform the classical communication system …
communication system is able to outperform the classical communication system …
A CNN-based end-to-end learning framework toward intelligent communication systems
Deep learning has been applied in physical-layer communications systems in recent years
and has demonstrated fascinating results that were comparable or even better than human …
and has demonstrated fascinating results that were comparable or even better than human …
[PDF][PDF] Deep Learning Based End-to-End Wireless Communication Systems Without Pilots.
The recent development in machine learning, especially in deep neural networks (DNN),
has enabled learning-based end-to-end communication systems, where DNNs are …
has enabled learning-based end-to-end communication systems, where DNNs are …
ChannelGAN: Deep learning-based channel modeling and generating
H Xiao, W Tian, W Liu, J Shen - IEEE Wireless …, 2022 - ieeexplore.ieee.org
The increasing complexity on channel modeling and the cost on collecting plenty of high-
quality wireless channel data have become the main bottlenecks of developing deep …
quality wireless channel data have become the main bottlenecks of developing deep …
Channel estimation enhancement with generative adversarial networks
Improving the accuracy of channel estimation is a significant topic in the context of wireless
communications. For training-based channel estimations, increasing the length of a training …
communications. For training-based channel estimations, increasing the length of a training …
Backpropagating through the air: Deep learning at physical layer without channel models
Recent developments in applying deep learning techniques to train end-to-end
communication systems have shown great promise in improving the overall performance of …
communication systems have shown great promise in improving the overall performance of …