A Gaussian-process channel predictor with a learned electromagnetic correlation kernel forecasts future MIMO channels more accurately than AR and PVEC baselines in simulations.
The benefits of electromagnetic information theory for channel estimation,
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Spatio-Temporal Electromagnetic Kernel Learning for Channel Prediction
A Gaussian-process channel predictor with a learned electromagnetic correlation kernel forecasts future MIMO channels more accurately than AR and PVEC baselines in simulations.