A JEPA-style latent world model predicts the wireless propagation field in a shared representation and uses it as a prior for sparse-pilot channel reconstruction, improving symbol detection and beamforming in simulated MIMO-OFDM systems.
ODE-Former for mobile channel prediction: A novel learning structure leveraging the physics continuity,
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A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation
A JEPA-style latent world model predicts the wireless propagation field in a shared representation and uses it as a prior for sparse-pilot channel reconstruction, improving symbol detection and beamforming in simulated MIMO-OFDM systems.