A multi-modal transformer with module-aware pruning and a conditional VAE for missing-sensor reconstruction improves beam prediction accuracy on the DeepSense 6G dataset.
Toward ISAC-empowered vehicular networks: Framework, Advances, and Opportunities,
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Multi-Modal Beamforming with Model Compression and Modality Generation for V2X Networks
A multi-modal transformer with module-aware pruning and a conditional VAE for missing-sensor reconstruction improves beam prediction accuracy on the DeepSense 6G dataset.