Author

S. ur Rahman

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#machine learning Preprint Aug 2026

WiNeRF: Measurement Constrained Radiance Fields for Actionable Wireless Channel Modeling

Wireless embedded systems increasingly rely on wireless channel information for decision making, yet practical platforms operate under severe constraints, including few antennas, narrow bandwidth, and sparse, noisy measurements. While neural field based approaches inspired by Neural Radiance Fields (NeRFs) have recentl...

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