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Sionna RT represents a significant advancement in open-source radio propagation simulation by integrating differentiable ray tracing directly with GPU acceleration. This capability allows researchers to compute gradients of channel metrics with respect to environmental and geometric parameters, facilitating end-to-end optimization for next-generation wireless systems. The technical report details the specific algorithms used to efficiently simulate complex wave phenomena like diffraction and reflection while addressing current computational limitations.
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Sionna RT: Technical Report

arXiv2 min read

arXiv:2504.21719v3 Announce Type: replace-cross Abstract: 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 provided 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 for the non-diffracted component, complemented by a stage for diffracted paths.

Abstract: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 provided 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 for the non-diffracted component, complemented by a stage for diffracted paths.

Information Theory (cs.IT); Artificial Intelligence (cs.AI); Signal Processing (eess.SP)

arXiv:2504.21719 [cs.IT]

(or arXiv:2504.21719v3 [cs.IT] for this version)

https://doi.org/10.48550/arXiv.2504.21719 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 266 words

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