76 citations · 96 across the 5 of their papers we have counts for
5 papers · 1 filter
Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel
Hao Ye, Le Liang, Geoffrey Ye Li +1
In this article, we develop an end-to-end wireless communication system using deep neural networks (DNNs), in which DNNs are employed to perform several key functions, including en…
Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang +1
In this article, we use deep neural networks (DNNs) to develop a wireless end-to-end communication system, in which DNNs are employed for all signal-related functionalities, such a…
Deep Learning in Physical Layer Communications
Zhijin Qin, Hao Ye, Geoffrey Ye Li +1
Deep learning (DL) has shown the great potentials to break the bottleneck of communication systems. This article provides an overview on the recent advancements in DL-based physica…
Deep Reinforcement Learning based Resource Allocation for V2V Communications
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
In this paper, we develop a decentralized resource allocation mechanism for vehicle-to-vehicle (V2V) communications based on deep reinforcement learning, which can be applied to bo…
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang
This article presents our initial results in deep learning for channel estimation and signal detection in orthogonal frequency-division multiplexing (OFDM). OFDM has been widely ad…