A diffusion transformer directly maps noisy MIMO channel observations to clean estimates in a single pass by exploiting angular sparsity, achieving better accuracy and much lower complexity than iterative diffusion baselines.
3rd Generation Partnership Project (3GPP), document TR 38.901 , version 16.1.0
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Sampling-Free Diffusion Transformers for Low-Complexity MIMO Channel Estimation
A diffusion transformer directly maps noisy MIMO channel observations to clean estimates in a single pass by exploiting angular sparsity, achieving better accuracy and much lower complexity than iterative diffusion baselines.