A Bayesian framework with adaptive polar-domain dictionary updates and hierarchical priors improves near-field channel estimation in XL-MIMO by capturing sparsity and non-stationarity with low overhead.
A spatially non-stationary fading channel model for simulation and (semi-) analytical study of ELAA- MIMO
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Adaptive Structured Sparse Bayesian Learning for Near-Field Non-Stationary Channel Estimation in XL-MIMO Systems
A Bayesian framework with adaptive polar-domain dictionary updates and hierarchical priors improves near-field channel estimation in XL-MIMO by capturing sparsity and non-stationarity with low overhead.