mlsanityData to 14 Oct 2026

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

arXiv 2303.11103 ↗First posted 20 Mar 2023cs.IT cs.AI cs.LGcited by 62

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Abstract (arXiv)

Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. Since release v0.14 it integrates a differentiable ray tracer (RT) for the simulation of radio wave propagation. This unique feature allows for the computation of gradients of the channel impulse response and other related quantities with respect to many system and environment parameters, such as material properties, antenna patterns, array geometries, as well as transmitter and receiver orientations and positions. In this paper, we outline the key components of Sionna RT and showcase example applications such as learning radio materials and optimizing transmitter orientations by gradient descent. While classic ray tracing is a crucial tool for 6G research topics like reconfigurable intelligent surfaces, integrated sensing and communications, as well as user localization, differentiable ray tracing is a key enabler for many novel and exciting research directions, for example, digital twins.

Key facts. Cited by 62 papers in the map (data through 14 Oct 2026). Builds on 12 of its 27 references that are in the map. First posted on arXiv 20 Mar 2023.

Builds on

12 of 27 references.

References · 12

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  2. 2022Sionna: An Open-Source Library for Next-Generation Physical Layer Researchcited by 145
  3. 2019RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networkscited by 127
  4. 2020Toward a 6G AI-Native Air Interfacecited by 55
  5. 2022DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasetcited by 53
  6. 2018Channel Charting: Locating Users within the Radio Environment using Channel State Informationcited by 40
  7. 2023Real-Time Digital Twins: Vision and Research Directions for 6G and Beyondcited by 26
  8. 20226G Digital Twin Networks: From Theory to Practicecited by 23
  9. 2021Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networkscited by 15
  10. 20206G White Paper on Localization and Sensingcited by 13
  11. 2022Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurementscited by 8
  12. 2021Reradiation and Scattering from a Reconfigurable Intelligent Surface: A General Macroscopic Modelcited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 6; 2024: 7; 2025: 15; 2026: 34.

62 papers.

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  1. 2023Learning Radio Environments by Differentiable Ray Tracingcited by 23
  2. 2023Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimatescited by 14
  3. 2024Generating High Dimensional User-Specific Wireless Channels using Diffusion Modelscited by 14
  4. 2024Radio Map Prediction from Aerial Images and Application to Coverage Optimizationcited by 10
  5. 2023Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databasescited by 6
  6. 2023Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamformingcited by 5
  7. 2023Optimizing Multicarrier Multiantenna Systems for LoS Channel Chartingcited by 5
  8. 2026Bridging Visual and Wireless Sensing via a Unified Radiation Field for 3D Radio Map Constructioncited by 4
  9. 2023Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Mapscited by 3
  10. 2024Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Searchcited by 3
  11. 2025Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localizationcited by 3
  12. 2025Differentiable High-Performance Ray Tracing-Based Simulation of Radio Propagation with Point Cloudscited by 3
38 more
  1. 2025Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Questioncited by 3
  2. 2026Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selectioncited by 3
  3. 2026WiFi-JEPA: Self-supervised Learning for WiFi-CSI 3D Human Pose Estimationcited by 3
  4. 2025Scalable RF Simulation in Generative 4D Worldscited by 2
  5. 2024Vision-Assisted Digital Twin Creation for mmWave Beam Managementcited by 1
  6. 2024Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracingcited by 1
  7. 2024SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogatecited by 1
  8. 2025Model-based learning for joint channel estimationand hybrid MIMO precodingcited by 1
  9. 2025On the Limitations of Ray-Tracing for Learning-Based RF Tasks in Urban Environmentscited by 1
  10. 2025RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splattingcited by 1
  11. 2026Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learningcited by 1
  12. 2025Base Station Deployment under EMF constrain by Deep Reinforcement learningcited by 1
  13. 2026An Efficient and Explainable KAN Framework for Wireless Radiation Field Predictioncited by 1
  14. 2026BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precodingcited by 1
  15. 2026Geometry-Aware Cross-Height Channel Knowledge Map Prediction for UAV-Assisted Communications With Uncertainty-Guided 3D Sensingcited by 1
  16. 2026Large Multimodal Model-Based Environment-Aware Mobility Managementcited by 1
  17. 2026mmIR: Frequency-Space Inverse Rendering for 3D Millimeter-Wave Radar ADC Synthesiscited by 1
  18. 2024How Critical is Site-Specific RAN Optimization? 5G Open-RAN Uplink Air Interface Performance Test and Optimization from Macro-Cell CIR Datacited by 0
  19. 2025Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inferencecited by 0
  20. 2025Novel Deep Neural OFDM Receiver Architectures for LLR Estimationcited by 0
  21. 2025Terahertz Spatial Wireless Channel Modeling with Radio Radiance Fieldcited by 0
  22. 2025Reconstruction of SINR Maps from Sparse Measurements using Group Equivariant Non-Expansive Operatorscited by 0
  23. 2025Neural Beam Field for Spatial Beam RSRP Predictioncited by 0
  24. 2025Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentationcited by 0
  25. 2025Towards Channel Charting Enhancement with Non-Reconfigurable Intelligent Surfacescited by 0
  26. 2026Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modelingcited by 0
  27. 2026Learning from Radio using Variational Quantum RF Sensingcited by 0
  28. 2026Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Predictioncited by 0
  29. 2026Digital Twin-Assisted Measurement Design and Channel Statistics Predictioncited by 0
  30. 2026CSI-tuples-based 3D Channel Fingerprints Construction Assisted by MultiModal Learningcited by 0
  31. 2026A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Predictioncited by 0
  32. 2026Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approachescited by 0
  33. 2026Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMOcited by 0
  34. 2026DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programmingcited by 0
  35. 2026Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completioncited by 0
  36. 2026CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Modelscited by 0
  37. 2026Low-Altitude Channel Multipath Prediction via Panoramic Perception and Vision-Language Modelcited by 0
  38. 2026CORF-GS: Real-Time Wireless Radiance Field Reconstruction via Coupled Optical-RF Gaussian Splattingcited by 0

50 most cited of 62 All 62 (JSON)