Introduces an inverse-range reparameterized 2D atomic norm minimization framework for continuous range-angle super-resolution in hybrid near-field XL-MIMO.
Near-field channel estimation for extremely large-scale array communications: A model- based deep learning approach,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.
citing papers explorer
-
Living Off the Grid: Continuous Range-Angle Super-Resolution for Near-Field XL-MIMO
Introduces an inverse-range reparameterized 2D atomic norm minimization framework for continuous range-angle super-resolution in hybrid near-field XL-MIMO.
-
Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
A single recurrent transformer block trained once delivers 5 dB and 7.5 dB NMSE gains over prior methods for narrowband and wideband hybrid near-far field THz UM-MIMO channel estimation.