A variable-rate autoencoder with trainable scalar quantization and sensor-data fusion reconstructs FDD massive MIMO channels from 48-144 feedback bits, achieving near-optimal beamforming gains in synthetic 5G NR simulations.
Spatially sparse precoding in millimeter wave MIMO systems,
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Multi-Modal Variable-Rate CSI Reconstruction for FDD Massive MIMO Systems
A variable-rate autoencoder with trainable scalar quantization and sensor-data fusion reconstructs FDD massive MIMO channels from 48-144 feedback bits, achieving near-optimal beamforming gains in synthetic 5G NR simulations.