Null-space flow matching decomposes MIMO CSI estimation into direct range-space reconstruction from noisy pilots and iterative FM-based null-space generation, achieving competitive NMSE under a ~3 ms latency budget with a power-law schedule and noise-aware correction.
Generative diffusion models for high dimensional channel estimation,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A mixture-of-experts diffusion model with variational Bayesian inference jointly infers the channel and expert indicator to adapt to different propagation environments in massive MIMO channel estimation.
citing papers explorer
-
Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems
Null-space flow matching decomposes MIMO CSI estimation into direct range-space reconstruction from noisy pilots and iterative FM-based null-space generation, achieving competitive NMSE under a ~3 ms latency budget with a power-law schedule and noise-aware correction.
-
Mixture-of-Experts Diffusion Models for Adaptive Massive MIMO Channel Estimation via Variational Bayesian Inference
A mixture-of-experts diffusion model with variational Bayesian inference jointly infers the channel and expert indicator to adapt to different propagation environments in massive MIMO channel estimation.