50 citations · 55 across the 11 of their papers we have counts for
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eess.SP2022★ 50 cited
Multidimensional Graph Neural Networks for Wireless Communications
Shengjie Liu, Jia Guo, Chenyang Yang
Graph neural networks (GNNs) have been shown promising in improving the efficiency of learning communication policies by leveraging their permutation properties. Nonetheless, exist…
eess.SP2022
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…
eess.SP2022★ 4 cited
Understanding the Performance of Learning Precoding Policy with GNN and CNNs
Baichuan Zhao, Jia Guo, Chenyang Yang
Learning-based precoding has been shown able to be implemented in real-time, jointly optimized with channel acquisition, and robust to imperfect channels. Yet previous works rarely…