Towards Fine-Grained and Automated Control for Large-Scale Wireless Digital Twins

The NVIDIA Aerial Omniverse™ Digital Twin (AODT) is a state-of-the-art wireless digital twin (DT) platform for 5G and 6G R&D. The AODT provides intuitive graphical user interfaces (GUIs) that allow users to control a wireless DT, such as configuring radio settings and geospatial information of distributed units, radio units, and user equipments. However, these built-in GUIs impose significant constraints on fine-tuned control and automation, which are crucial for high-fidelity simulation of large-scale, real-world radio access networks. In this work, we propose an extension to the AODT that enables fine-grained control and automation without the need for GUIs. We demonstrate the use of this extension by running simulations within the AODT entirely through programmatic interfaces.