240 citations · 475 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
Toward Intelligent Vehicular Networks: A Machine Learning Framework
Le Liang, Hao Ye, Geoffrey Ye Li
As wireless networks evolve towards high mobility and providing better support for connected vehicles, a number of new challenges arise due to the resulting high dynamics in vehicu…