Author

S. ur Rahman

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#machine learning Preprint Aug 2026

WiNeRF: Measurement Constrained Radiance Fields for Actionable Wireless Channel Modeling

WiNeRF is presented, a neural field framework that learns a spatially continuous, complex-valued wireless channel representation directly from sparse channel state information (CSI) collected by commodity WiFi devices, and produces a task-agnostic channel representation that can be directly reused in standard signal-pr...

S. ur Rahman, Rafid Umayer Murshed, A. Dmitriev et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Physics-Unrolled Neural Operator for Wireless Field Modeling

This work proposes Physics-Unrolled Hybrid Neural Operator (PU-HNO), a three-stage cascade that predicts high-fidelity indoor radio maps from low-fidelity ray-tracing outputs and scene priors by progressively capturing reflection, diffraction, and scattering effects, rather than treating radio maps as generic images.

Rafid Umayer Murshed, S. ur Rahman, Mingyue Tang et al. · 0 citations