31 citations · 69 across the 23 of their papers we have counts for
7 papers · 1 filter
Learning Power Control for Cellular Systems with Heterogeneous Graph Neural Network
Jia Guo, Chenyang Yang
Optimizing power control in multi-cell cellular networks with deep learning enables such a non-convex problem to be implemented in real-time. When channels are time-varying, the de…
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming
Dong Liu, Jianyu Zhao, Chenyang Yang +1
Predictive power allocation is conceived for energy-efficient video streaming over mobile networks using deep reinforcement learning. The goal is to minimize the accumulated energy…
Constructing Deep Neural Networks with a Priori Knowledge of Wireless Tasks
Jia Guo, Chenyang Yang
Deep neural networks (DNNs) have been employed for designing wireless systems in many aspects, say transceiver design, resource optimization, and information prediction. Existing w…
Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning
Dong Liu, Chengjian Sun, Chenyang Yang +1
Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable…
Structure of Deep Neural Networks with a Priori Information in Wireless Tasks
Jia Guo, Chenyang Yang
Deep neural networks (DNNs) have been employed for designing wireless networks in many aspects, such as transceiver optimization, resource allocation, and information prediction. E…
Model-Free Unsupervised Learning for Optimization Problems with Constraints
Chengjian Sun, Dong Liu, Chenyang Yang
In many optimization problems in wireless communications, the expressions of objective function or constraints are hard or even impossible to derive, which makes the solutions diff…