Multimodal Beam Prediction With Missing Modality Adaptability: A Contrastive Learning Approach
Multimodal beam prediction based on deep learning can significantly reduce the beam training overhead in millimeter-wave multiple-input multiple-output (MIMO) systems. However, the performance of existing multimodal approaches is often degraded by missing modalities, and their intricate modality fusion mechanisms typic...