DRIFT is a joint estimation-prediction framework using CNN or LSTM layers that reduces pilot overhead in LEO NTN uplink scenarios, claiming up to 12% spectral efficiency gain and under 200k MAC operations with robustness to mismatches.
Deep Learning- Based Channel Prediction for LEO Satellite Massive MIMO Communi- cation System,
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DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Networks
DRIFT is a joint estimation-prediction framework using CNN or LSTM layers that reduces pilot overhead in LEO NTN uplink scenarios, claiming up to 12% spectral efficiency gain and under 200k MAC operations with robustness to mismatches.