Point2Radio: A Foundation Model for Cross-Scene Radio Fields from Material-Aware Point Clouds
High-fidelity radio fields are typically simulated for every scene--transmitter configuration or fitted separately to each scene, failing to exploit propagation structures shared across environments. We present Point2Radio, a foundation model that learns a transferable propagation prior from multiple environments. Given a material-aware point cloud and a transmitter (TX) setting, a common encoder produces a TX-conditioned scene representation that can be queried at arbitrary receiver (RX) locations. Task-specific query decoders map this representation to different radio quantities, e.g., three-dimensional (3D) path-gain (PG) fields and power angular spectra (PAS). At inference for a new s...
| Authors | Chaozheng Wen, Chenghong Bian, Hongze Chen et al. |
|---|---|
| Primary category | cs.NI |
| Published | 31 July 2026 |
| Last updated at source | 31 July 2026 |
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