mlsanityData to 14 Oct 2026

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

arXiv 2203.11854 ↗First posted 22 Mar 2022cs.IT cs.AI cs.LGcited by 145

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Abstract (arXiv)

Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. It enables the rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. Sionna implements a wide breadth of carefully tested state-of-the-art algorithms that can be used for benchmarking and end-to-end performance evaluation. This allows researchers to focus on their research, making it more impactful and reproducible, while saving time implementing components outside their area of expertise. This white paper provides a brief introduction to Sionna, explains its design principles and features, as well as future extensions, such as integrated ray tracing and custom CUDA kernels. We believe that Sionna is a valuable tool for research on next-generation communication systems, such as 6G, and we welcome contributions from our community.

Key facts. Cited by 145 papers in the map (data through 14 Oct 2026). Builds on 13 of its 42 references that are in the map. First posted on arXiv 22 Mar 2022.

Builds on

13 of 42 references.

References · 13

  1. 2017An Introduction to Deep Learning for the Physical Layercited by 233
  2. 2020Semantics-Empowered Communication for Networked Intelligent Systemscited by 63
  3. 2020Toward a 6G AI-Native Air Interfacecited by 55
  4. 2020Federated Learning for 6G Communications: Challenges, Methods, and Future Directionscited by 33
  5. 2019ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communicationscited by 21
  6. 2019Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrayscited by 19
  7. 2022An Overview of 5G Advanced Evolution in 3GPP Release 18cited by 14
  8. 20206G White Paper on Localization and Sensingcited by 13
  9. 2021TeraHertz Band Communication: An Old Problem Revisited and Research Directions for the Next Decadecited by 13
  10. 2021What Will the Future of UAV Cellular Communications Be? A Flight from 5G to 6Gcited by 11
  11. 2020When Wireless Communications Meet Computer Vision in Beyond 5Gcited by 9
  12. 2022Digital Twin Network: Opportunities and Challengescited by 5
1 more
  1. 2018Versatile Mobile Communications Simulation: The Vienna 5G Link Level Simulatorcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 10; 2023: 16; 2024: 22; 2025: 46; 2026: 51.

145 papers.

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  1. 2023Sionna RT: Differentiable Ray Tracing for Radio Propagation Modelingcited by 62
  2. 2022Wireless Deep Video Semantic Transmissioncited by 50
  3. 2022Error Correction Code Transformercited by 47
  4. 2023Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Controlcited by 20
  5. 2023Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimatescited by 14
  6. 2022Semantic Information Recovery in Wireless Networkscited by 12
  7. 2023Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issuescited by 12
  8. 2024CSI-BERT2: A BERT-inspired Framework for Efficient CSI Prediction and Classification in Wireless Communication and Sensingcited by 11
  9. 2022Graph Neural Networks for Channel Decodingcited by 10
  10. 2023Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communicationscited by 10
  11. 2024Radio Map Prediction from Aerial Images and Application to Coverage Optimizationcited by 10
  12. 2025A MIMO Wireless Channel Foundation Model via CIR-CSI Consistencycited by 10
38 more
  1. 2024Learning Linear Block Error Correction Codescited by 9
  2. 2022Toward Adaptive Semantic Communications: Efficient Data Transmission via Online Learned Nonlinear Transform Source-Channel Codingcited by 8
  3. 2023Score-based Source Separation with Applications to Digital Communication Signalscited by 8
  4. 2025Joint Semantic-Channel Coding and Modulation for Token Communicationscited by 7
  5. 2022Bit Error and Block Error Rate Training for ML-Assisted Communicationcited by 6
  6. 2024Large Language Models (LLMs) Assisted Wireless Network Deployment in Urban Settingscited by 6
  7. 2024Differentiable and Learnable Wireless Simulation with Geometric Transformerscited by 6
  8. 2023A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environmentscited by 5
  9. 2024Integrating Pre-Trained Language Model with Physical Layer Communicationscited by 5
  10. 2023Model-based learning for location-to-channel mappingcited by 4
  11. 2023Model-based Deep Learning for Beam Prediction based on a Channel Chartcited by 4
  12. 2024RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environmentscited by 4
  13. 2026U6G XL-MIMO Radiomap Prediction: Multi-Config Dataset and Beam Map Approachcited by 4
  14. 2022Deep Learning-Based Synchronization for Uplink NB-IoTcited by 3
  15. 2024CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twinscited by 3
  16. 2024Factor Graph Optimization of Error-Correcting Codes for Belief Propagation Decodingcited by 3
  17. 2024Model-based learning for multi-antenna multi-frequency location-to-channel mappingcited by 3
  18. 2024Neuromorphic Wireless Split Computing with Multi-Level Spikescited by 3
  19. 2025Radio Map Estimation via Latent Domain Plug-and-Play Denoisingcited by 3
  20. 2025Generative Diffusion Model-based Compression of MIMO CSIcited by 3
  21. 2025Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localizationcited by 3
  22. 2025Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communicationscited by 3
  23. 2025EMind: A Foundation Model for Multi-task Electromagnetic Signals Understandingcited by 3
  24. 2025Soft Graph Transformer for MIMO Detectioncited by 3
  25. 2025Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Questioncited by 3
  26. 2025Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systemscited by 3
  27. 2025Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channelscited by 3
  28. 2026BeamCKMDiff: Beam-Aware Channel Knowledge Map Construction via Diffusion Transformercited by 3
  29. 2026The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithmscited by 3
  30. 2022Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Modelcited by 2
  31. 2023Generative AI-Based Probabilistic Constellation Shaping With Diffusion Modelscited by 2
  32. 2024NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gatewayscited by 2
  33. 2024Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratioscited by 2
  34. 2025WVSC: Wireless Video Semantic Communication with Multi-frame Compensationcited by 2
  35. 2025Towards a Foundation Model for Communication Systemscited by 2
  36. 2025Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splattingcited by 2
  37. 2025Can NeRFs See without Cameras?cited by 2
  38. 2025From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Managementcited by 2

50 most cited of 145 All 145 (JSON)