1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Model-based GNN for Learning Precoding
Jia Guo, Chenyang Yang
Learning precoding policies with neural networks enables low complexity online implementation, robustness to channel impairments, and joint optimization with channel acquisition. H…
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…
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…
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…
Exploiting Residual Resources to Support High Throughput with Resource Allocation
Jia Guo, Chuting Yao, Chenyang Yang +1
Residual radio resources are abundant in wireless networks due to dynamic traffic load, which can be exploited to support high throughput for serving non-real-time (NRT) traffic. I…