InoWave
Perform dynamic wireless simulation and virtual testing for 5G-Advanced and 6G.
InoWave equips Innovation and Strategy teams with a realistic virtual testing environment to validate next-generation wireless systems.
Built on accurate 3D digital twins and ray-tracing engine, InoWave simulates the PHY-layer radio channel dynamically, capturing the mobility of base stations, devices and surrounding objects, with dedicated models for MIMO, RIS, NTN and ISAC/JCAS.
Trusted for over 30 years by leading operators, research institutes and equipment providers.
Challenges
Turn wireless simulation into impact
Simulate massive MIMO, RIS, mmWave and beyond across current and next-generation networks, and convert your results into patents, standards contributions and confident deployment decisions.
Test new RAN concepts virtually
Validate beamforming, mobility and RAN architectures in dynamic scenarios, with moving base stations, devices and objects, before committing to costly field trials.
Train AI/ML algorithms on realistic data
Produce large-scale, time-variant MIMO channel datasets, or switch to the ML-based mode for fast received-power predictions to train and validate your models.
De-risk your R&D roadmap
Accelerate IP creation, push new concepts toward standardization, and assess return on investment well before committing to real-world deployment.
Our promise
Test today's networks and tomorrow's standards.
A high-fidelity RF toolbox built for RAN Digital Twin (DT-RAN) workflows, backed by decades of collaborative research with academia, industry leaders and public research institutes.
Features
Discover Siradel InoWave's potential
A high-fidelity RF simulation engine
Simulate site-specific 4D wireless channels
Run high-fidelity simulations of dynamic channels across indoor, urban, hilly, rural, sky and space environments, from sub-6GHz to sub-THz, on a field-proven engine.
3D ray-tracing validated against extensive field measurements- Supports multi-source and multi-format 3D geodata
- Specular and diffuse scattering interactions, including metamaterial, RIS and RCS modeling.
A flexible, scenario-driven platform
Cover every propagation scenario
Combine terrestrial, aerial and satellite base stations with indoor, rooftop, façade or moving user equipment
- Ground-level to satellite: micro, macro, UAV, HAPS, LEO/GEO
- Static and mobile transmitters and receivers
An AI-ready RF Digital Twin
Generate AI/ML training datasets
Generate large-scale, time-variant MIMO channel datasets directly from your digital twin, with labeled outputs ready for training and validation.
- ML-based mode for fast Rx power predictions
- Rich outputs: ray paths, LoS/NLoS, wideband frequency response, Doppler spectrum
A scalable, end-to-end workflow
Industrialize your simulation pipelines
Prepare scenarios in the 3D user interface, then scale up through the Python API and notebooks to run end-to-end prediction campaigns.
- Stand-alone 3D interface for scenario preparation
- Python API and notebooks for large-scale campaigns
- Integration with your existing toolchain
Tools
From standalone exploration to industrialized pipelines
Whether you’re investigating a single scenario or running thousands of simulations, InoWave gives you the right tool, from interactive GUI to fully scriptable Python API.
Standalone 3D interface
Smooth 3D visualization: explore geodata and propagation results interactively, inspect ray paths and validate scenarios visually.
Python API and notebooks
Large-scale channel prediction campaigns and end-to-end simulation pipelines, scriptable and reproducible.
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