A multi-task neural network recovers superimposed downlink CSI and uplink data sequences in FDD massive MIMO, improving CSI estimation over standalone SC while maintaining similar UL-US detection across varying SNR and PPC.
Data-Driven Deep Learning for Automatic Modulation Recognition in Cognitive Radios,
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Deep Learning for CSI Feedback Based on Superimposed Coding
A multi-task neural network recovers superimposed downlink CSI and uplink data sequences in FDD massive MIMO, improving CSI estimation over standalone SC while maintaining similar UL-US detection across varying SNR and PPC.