A complex-valued sparse neural network predicts FDD massive MIMO downlink CSI from uplink CSI, achieving lower NMSE than a real-valued network in synthetic and ray-traced channels.
Multilayer fe edforward networks are universal approximators,
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Deep Learning based Downlink Channel Prediction for FDD Massive MIMO System
A complex-valued sparse neural network predicts FDD massive MIMO downlink CSI from uplink CSI, achieving lower NMSE than a real-valued network in synthetic and ray-traced channels.