TeRFS models dynamic radio fields via anisotropic spherical Gaussians bound to analytical temporal envelopes that enable explicit multipath birth-and-death, delivering 11.5% lower MSE and 6.9x faster training than baselines.
Photon splatting: A physics-guided neural surrogate for real-time wireless channel prediction
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PointNeRT is a neural surrogate for ray tracing that ingests point clouds and sequentially predicts multipath propagation and attenuation under physics constraints.
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TeRFS: Temporal-Evolving Radio Field Synthesis
TeRFS models dynamic radio fields via anisotropic spherical Gaussians bound to analytical temporal envelopes that enable explicit multipath birth-and-death, delivering 11.5% lower MSE and 6.9x faster training than baselines.
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PointNeRT: A Physics Aware Neural Ray Tracing Surrogate for Propagation Channel Modeling
PointNeRT is a neural surrogate for ray tracing that ingests point clouds and sequentially predicts multipath propagation and attenuation under physics constraints.