Sionna RT: Technical Report
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866914166249357312 |
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| author | Aoudia, Fayçal Aït Hoydis, Jakob Nimier-David, Merlin Nicolet, Baptiste Cammerer, Sebastian Keller, Alexander |
| author_facet | Aoudia, Fayçal Aït Hoydis, Jakob Nimier-David, Merlin Nicolet, Baptiste Cammerer, Sebastian Keller, Alexander |
| contents | Sionna is an open-source, GPU-accelerated library that, as of version 0.14, incorporates a ray tracer, Sionna RT, for simulating radio wave propagation. A unique feature of Sionna RT is differentiability, enabling the calculation of gradients for the channel impulse responses (CIRs), radio maps, and other related metrics with respect to system and environmental parameters, such as material properties, antenna patterns, and array geometries. The release of Sionna 1.0 provides a complete overhaul of the ray tracer, significantly improving its speed, memory efficiency, and extensibility. This document details the algorithms employed by Sionna RT to simulate radio wave propagation efficiently, while also addressing their current limitations. Given that the computation of CIRs and radio maps requires distinct algorithms, these are detailed in separate sections. For CIRs, Sionna RT integrates shooting and bouncing of rays (SBR) with the image method and uses a hashing-based mechanism to efficiently eliminate duplicate paths. Radio maps are computed using a purely SBR-based approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_21719 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sionna RT: Technical Report Aoudia, Fayçal Aït Hoydis, Jakob Nimier-David, Merlin Nicolet, Baptiste Cammerer, Sebastian Keller, Alexander Information Theory Artificial Intelligence Signal Processing Sionna is an open-source, GPU-accelerated library that, as of version 0.14, incorporates a ray tracer, Sionna RT, for simulating radio wave propagation. A unique feature of Sionna RT is differentiability, enabling the calculation of gradients for the channel impulse responses (CIRs), radio maps, and other related metrics with respect to system and environmental parameters, such as material properties, antenna patterns, and array geometries. The release of Sionna 1.0 provides a complete overhaul of the ray tracer, significantly improving its speed, memory efficiency, and extensibility. This document details the algorithms employed by Sionna RT to simulate radio wave propagation efficiently, while also addressing their current limitations. Given that the computation of CIRs and radio maps requires distinct algorithms, these are detailed in separate sections. For CIRs, Sionna RT integrates shooting and bouncing of rays (SBR) with the image method and uses a hashing-based mechanism to efficiently eliminate duplicate paths. Radio maps are computed using a purely SBR-based approach. |
| title | Sionna RT: Technical Report |
| topic | Information Theory Artificial Intelligence Signal Processing |
| url | https://arxiv.org/abs/2504.21719 |