LPWTNet reconstructs statistical channel fingerprints for massive MIMO by framing the task as tensor restoration and using a Laplacian pyramid with wavelet convolutions for multi-scale efficiency.
Environment-aware hybrid beamforming by leveraging channel knowledge map
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Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework
LPWTNet reconstructs statistical channel fingerprints for massive MIMO by framing the task as tensor restoration and using a Laplacian pyramid with wavelet convolutions for multi-scale efficiency.