A disco RIS in bistatic ISAC degrades communication SINR through active channel aging interference but simultaneously worsens AoD estimation accuracy while improving AoA estimation accuracy.
Non-stationary channel estimation for extremely large-scale MIMO,
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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eess.SP 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
A diffusion model learns the prior for Bayesian near-field wideband XL-MIMO channel estimation and a multi-scale attention denoising network improves performance over baselines.
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.
An unsupervised detector combining a parametric Gamma reference model with a data-learned normalizing flow achieves near-supervised monitoring performance for covert communications against a disco RIS warden.
citing papers explorer
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Bistatic Integrated Sensing and Communication in the Presence of a Disco Reconfigurable Intelligent Surface: Disruption, Enhancement, or Both?
A disco RIS in bistatic ISAC degrades communication SINR through active channel aging interference but simultaneously worsens AoD estimation accuracy while improving AoA estimation accuracy.
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Near-Field Wideband Channel Estimation for XL-MIMO Systems via Denoising Diffusion Model
A diffusion model learns the prior for Bayesian near-field wideband XL-MIMO channel estimation and a multi-scale attention denoising network improves performance over baselines.
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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.
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Unsupervised Semi-Parametric Plug-in Likelihood-Ratio Detection for Covert Communications in the Presence of Disco Reconfigurable Intelligent Surfaces
An unsupervised detector combining a parametric Gamma reference model with a data-learned normalizing flow achieves near-supervised monitoring performance for covert communications against a disco RIS warden.