A geometry-aware GPR estimator reconstructs wireless CSI from partial noisy pilots, reducing overhead by up to 75% and training energy by up to 93.75% with competitive error rates.
Nonlinear sparse Bayesian learning methods with application to massive MIMO channel estimation with hardware impairments
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Novel Geometry-Aware GPR-Based Energy-Efficient and Low-Overhead Channel Estimation Scheme
A geometry-aware GPR estimator reconstructs wireless CSI from partial noisy pilots, reducing overhead by up to 75% and training energy by up to 93.75% with competitive error rates.