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Related Articles from SNS
GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising
arXiv:2511.06663v2 Announce Type: replace Abstract: Accurate Channel State Information (CSI) is critical for Hybrid Beamforming (HBF) tasks. However, obtaining high-resolution CSI remains challenging in practical wireless communication systems. To address this issue, we propose to utilize Graph Neural Networks (GNNs) and score-based generative models to enable robust HBF under imperfect CSI conditions.