RadTwin conditions a neural radio-propagation model on scene point clouds via physics-informed sparse attention, achieving 0.846 SSIM and 0.023 LPIPS on dynamic indoor scenes without retraining.
The cost 2100 mimo channel model,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A parametric SNS channel model with geometric constraints and the GC-SAGE algorithm enable joint near-field channel estimation and environment mapping for ELAAs in ISAC systems.
citing papers explorer
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RadTwin: Generalizable Wireless Digital Twin for Dynamic Environments
RadTwin conditions a neural radio-propagation model on scene point clouds via physics-informed sparse attention, achieving 0.846 SSIM and 0.023 LPIPS on dynamic indoor scenes without retraining.
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Propagation Mechanism-Aware Near-Field Spatially Non-Stationary Channel Estimation and Environment Mapping
A parametric SNS channel model with geometric constraints and the GC-SAGE algorithm enable joint near-field channel estimation and environment mapping for ELAAs in ISAC systems.