A three-branch multimodal fusion network predicts path loss, delay spread, angular spreads, and angular power spectrum from vehicle camera images and GPS in urban V2I scenarios.
Applying deep-learning-based com- puter vision to wireless communications: Methodologies, opportunities, and challenges
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Environment-Aware Channel Prediction for Vehicular Communications: A Multimodal Visual Feature Fusion Framework
A three-branch multimodal fusion network predicts path loss, delay spread, angular spreads, and angular power spectrum from vehicle camera images and GPS in urban V2I scenarios.