On the NVIDIA GTC convention, VIAVI introduced it’s increasing its TeraVM AI RAN State of affairs Generator (AI RSG) product by integrating it with the NVIDIA Aerial Omniverse Digital Twin (AODT). The combination allows sensible and detailed radio entry community (RAN) simulations, supporting community tools producers to leverage community information and AI/ML to optimize community operations.
On this weblog, we’ll showcase the combination of VIAVI’s AI RSG with NVIDIA AODT. This highly effective mixture permits for the creation of extremely sensible, AODT-compatible situations that may be rendered with gorgeous element utilizing NVIDIA raytracing rechnology. We’ll stroll via the steps of making a situation with VIAVI AI RSG, exporting it to AODT, and rendering it in AODT, full with screenshots for example every step.
Step 1: Creating an AODT-Appropriate State of affairs with VIAVI AI RSG
Step one in our integration course of is to create a practical RAN situation utilizing VIAVI AI RSG. This software lets you simulate system-level RAN conduct, making a digital twin that mirrors real-world situations. Right here’s how one can get began:
1. Allow AODT integration: This is likely one of the prime choices in VIAVI AI RSG State of affairs Era.
2. Import Actual-World Map: Start by importing real-world maps with streets, buildings, and community configurations into the AI RSG. This units the stage for a practical simulation atmosphere.
3. Create UE Profiles: Outline person tools (UE) profiles that simulate actions, handovers, and useful resource requests. This helps in creating dynamic and sensible community situations. On this case we’re asking VIAVI AI RSG to put pedestrians and automobiles across the streets within the city middle.
Step 2: Exporting the State of affairs to AODT
As soon as your situation is prepared in VIAVI AI RSG, the subsequent step is to export it to NVIDIA Aerial Omniverse Digital Twin. This may occur mechanically when saving an RSG simulation. Click on right here for extra details about set up.
Behind the scenes, VIAVI AI RSG is invoking AODT Scene Importer software, pointing it to the world of curiosity, then exporting the places of UEs and antennas into Clickhouse database. With the situation information exported, it’s then rendered in AODT. AODT leverages NVIDIA RTX expertise to supply extremely detailed and sensible visualizations. Observe these steps:
1. Import State of affairs Knowledge: Import the exported situation information into AODT. This entails loading the generated Common Scene Description (USD) file into the AODT atmosphere and configuring the simulation parameters. Be aware that on this case we scaled up the illustration of radio items (RUs) and UEs, to seek out them simply on this city-scale situation.
2. Configure Raytracing Settings: Modify the raytracing settings in AODT to attain the specified stage of element and realism. On this case I’m drastically lowering the variety of ray paths and their interactions, to have the ability to render the entire scene in actual time on a medium vary GPU:
3. Run the Simulation: Execute the simulation in AODT. The platform will use raytracing to render the situation, offering a visually gorgeous illustration of the RAN atmosphere.
Conclusion
Integrating VIAVI AI RAN State of affairs Generator with NVIDIA Aerial Omniverse Digital Twin opens new potentialities for sensible and detailed RAN simulations. By following the steps outlined on this weblog, you possibly can create, export, and render from VIAVI AI RSG.
Keep tuned for the subsequent step, the place we will likely be importing raytracing outcomes into VIAVI AI RSG for elevated realism in RSG KPIs.
Take a look at NVIDIA’s weblog on “Growing Subsequent-Era Wi-fi Networks with NVIDIA Aerial Omniverse Digital Twin” right here.
