sionna

A multi-stack, ETSI compliant, V2X framework for ns-3.

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN

3GPP TR 38.811 non-terrestrial network channel models for Sionna

An open-source software platform for all-scenario wireless communication and sensing research

VisPy preview backend for Sionna

Browser-based wireless digital twin with NVIDIA Sionna RT GPU ray tracing — OSM scenes, multipath links, coverage maps, and receiver mobility

Codebooks with Integral-Split Self-Interference Reduction for Integrated Sensing and Communication

Analog Devices Adalm PlutoSDR interface for NVidia sionna simulator, 1T1R, use full-dupplex on single SDR.

Neural channel estimator for 5G NR (CNN & Transformer) built on NVIDIA Sionna - trained, benchmarked, and shipped as a real ONNX + FastAPI + Docker inference service.

A complete pythonic scene baker for Sionna RT without Blender, Blosm, and Mistuba-blender.

3D Digital Twin for Real-Time RF Simulation An end-to-end 3D digital twin platform designed to visualize Wi-Fi (802.11) radio propagation in real time using NVIDIA Sionna's ray tracing engine and Three.js. - Simulates a virtual test room (2.0 × 3.5 × 2.0 m) with 1 WiFi router and 8 ESP32-S3 receivers

Sovereign RF digital twin for 6G ISAC planning — deterministic ray-traced coverage from open geodata. CPU-only capable (runs on a Raspberry Pi 4), GPU-accelerated where available. Ships its own verification: claims gate, pre-registered 3-machine benchmarks, deterministic visual evidence.

A full-stack web dashboard for NVIDIA Sionna 6G simulation results. Angular + Java + Python + PostgreSQL.

A reinforcement learning (Gymnasium) environment for 5G NR link adaptation on NVIDIA Sionna, with 3GPP and ray-traced channels, classical baselines and a reproducible evaluation protocol.

Wireless Network Emulation using Sionna Ray-Tracing and Containerlab

Learning-based OFDM wireless channel estimation using NVIDIA Sionna, TensorFlow, and standardized 3GPP channel models.

AI-PHY neural receiver benchmark comparing DeepRx-style and LS+LMMSE receivers on a Sionna-modeled 5G NR link.

5G Competition Submission

SioLENA repo enabling the usage of trace-based channel model in 5G LENA

GPU-accelerated Network Digital Twin for AI-RAN experiments in Munich. Powered by NVIDIA Sionna RT and PyTorch for ray-traced RF simulation. Includes real-world Munich simulation, Mitsuba 3 backend, and finite-difference Adam optimization for antenna tuning. Automated KPI reporting (SINR/throughput) and coverage mapping for 6G R&D workflows