2 papers
eess.SP2025
Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation with Performance Guarantees
Haotian Tian, Lixiang Lian
Supervised deep learning methods have shown promise for large-scale channel estimation (LCE), but their reliance on ground-truth channel labels greatly limits their practicality in…
eess.SP2025
Information-Preserving CSI Feedback: Invertible Networks with Endogenous Quantization and Channel Error Mitigation
Haotian Tian, Lixiang Lian, Jiaqi Cao +1
Deep learning has emerged as a promising solution for efficient channel state information (CSI) feedback in frequency division duplex (FDD) massive MIMO systems. Conventional deep…