Flow-matching generative CSI decoders outperform MMSE baselines in MU-MIMO downlink sum-rate by preserving posterior channel geometry needed for user orthogonality.
Deep learning for distributed channel feedback and multiuser precoding in FDD massive MIMO
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Channel Geometry Preserving Generative Models for CSI Feedback in MU-MIMO
Flow-matching generative CSI decoders outperform MMSE baselines in MU-MIMO downlink sum-rate by preserving posterior channel geometry needed for user orthogonality.