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eess.SP2024
KANsformer for Scalable Beamforming
Xinke Xie, Yang Lu, Chong-Yung Chi +3
This paper proposes an unsupervised deep-learning (DL) approach by integrating transformer and Kolmogorov-Arnold networks (KAN) termed KANsformer to realize scalable beamforming fo…
eess.SP2024
Model-Based GNN Enabled Energy-Efficient Beamforming for Ultra-Dense Wireless Networks
Rongsheng Zhang, Yang Lu, Wei Chen +2
This paper investigates deep learning enabled beamforming design for ultra-dense wireless networks by integrating prior knowledge and graph neural network (GNN), named model-based…
eess.SP2024
GNN-Enabled Optimization of Placement and Transmission Design for UAV Communications
Qinyu Wang, Yang Lu, Wei Chen +3
This paper applies graph neural networks (GNN) in UAV communications to optimize the placement and transmission design. We consider a multiple-user multiple-input-single-output UAV…