Cost-aware full-model fine-tuning with joint entropy coding and structured sparsity prior improves rate-distortion performance of neural CSI compression under distribution shifts.
Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feed- back: Design, simulation, and analysis
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Neural CSI Compression Fine-Tuning: Taming the Communication Cost of Model Updates
Cost-aware full-model fine-tuning with joint entropy coding and structured sparsity prior improves rate-distortion performance of neural CSI compression under distribution shifts.