Digital Event Horizon
NVIDIA has expanded its Aerial Research portfolio to support the development of AI-native wireless networks. The move is aimed at empowering developers and telecom leaders to pioneer these networks, which are designed to meet the demands of billions of AI-enabled connected devices. With new solutions such as the Aerial Omniverse Digital Twin and the Sionna 1.0 open-source library, NVIDIA is providing a comprehensive set of tools for researchers, developers, and industry leaders to build, test, and deploy groundbreaking AI-native wireless innovations.
NVIDIA expands its Aerial Research portfolio to support AI-native wireless networks New solutions and tools are introduced for researchers, developers, and industry leaders Aerial Omniverse Digital Twin simulation platform enables testing of algorithms in physically precise digital replicas Aerial Commercial Test Bed (ARC-OTA) system allows deployment of AI models over the air and real-time testing Sionna 1.0 open-source library features a lightning-fast ray tracer for radio propagation and new simulation capabilities Sionna Research Kit enables researchers to prototype AI-RAN algorithms in just a few hours using NVIDIA Jetson platform NVIDIA 6G Developer Program aims to complement AI-RAN and 6G research with over 2,000 members Companies enhance their simulation solutions with NVIDIA AODT, while operators optimize radio access network performance AI-native signal processing transforms wireless networks, delivering real-world results
NVIDIA has recently made a significant announcement in the field of wireless networks, expanding its Aerial Research portfolio to support the development of AI-native wireless networks. The move is aimed at empowering developers and telecom leaders to pioneer these networks, which are designed to meet the demands of billions of AI-enabled connected devices, sensors, robots, cameras, and autonomous vehicles.
The Aerial Research portfolio provides a comprehensive set of tools for researchers, developers, and industry leaders to build, test, and deploy groundbreaking AI-native wireless innovations. The expanded portfolio includes new solutions such as the Aerial Omniverse Digital Twin (AODT) on NVIDIA DGX Cloud, the Aerial Commercial Test Bed (ARC-OTA), the NVIDIA Sionna 1.0 open-source library, and the Sionna Research Kit on NVIDIA Jetson.
The Aerial Omniverse Digital Twin is a simulation platform that enables developers to test and fine-tune algorithms in physically precise digital replicas of entire wireless systems. This platform is now available on NVIDIA DGX Cloud, allowing developers to access it from anywhere, whether on premises, on laptops, or via the public cloud.
The Aerial Commercial Test Bed (ARC-OTA) is a full-stack AI-RAN deployment system that enables developers to deploy new AI models over the air and test them in real time. This system is now available on NVIDIA MGX and can be used through manufacturers such as Supermicro or as a managed offering via Sterling Skywave.
The Sionna 1.0 open-source library is the most widely used GPU-accelerated open-source library for research in communication systems, with over 135,000 downloads. The latest release of Sionna features a lightning-fast ray tracer for radio propagation, a versatile link-level simulator, and new system-level simulation capabilities.
The Sionna Research Kit is powered by the NVIDIA Jetson platform and integrates accelerated computing for AI and machine learning workloads as well as a software-defined RAN built on OAI. This kit enables researchers to connect 5G equipment and begin prototyping AI-RAN algorithms for next-generation wireless networks in just a few hours.
The NVIDIA Aerial Research ecosystem for AI-RAN and 6G includes the NVIDIA 6G Developer Program, an open community that serves over 2,000 members representing leading technology companies, academia, research institutions, and telecom operators using NVIDIA technologies to complement their AI-RAN and 6G research. Testing and simulation will play a crucial role in developing AI-native wireless networks.
Companies such as Amdocs, Ansys, Keysight, MathWorks, and VIAVI are enhancing their simulation solutions with NVIDIA AODT, while operators have created digital twins of their radio access networks to optimize performance with changing traffic scenarios. The AI-RAN Alliance has also chosen nine out of ten demonstrations for Mobile World Congress developed using the NVIDIA Aerial Research portfolio, leading to breakthrough results.
SoftBank and Fujitsu demonstrated an up to 50% throughput gain in poor radio environments using AI-based uplink channel interpolation. DeepSig developed OmniPHY, an AI-native air interface that eliminates traditional pilot overhead, harnessing neural networks to achieve up to 70% throughput gains in certain scenarios. Using the NVIDIA AI Aerial platform, OmniPHY integrates machine learning into modulation, reception, and demodulation to optimize spectral efficiency, reduce power consumption, and enhance wireless network performance.
"This AI-native signal processing is transforming wireless networks, delivering real-world results," said Jim Shea, cofounder and CEO of DeepSig. "By integrating deep learning to the air interface and leveraging NVIDIA's tools, we're redefining how AI-native wireless networks are designed and built."
In addition to the Aerial Research portfolio, developers can build applications that deliver dramatically higher performance using the open ecosystem of NVIDIA CUDA-X libraries, built on CUDA.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Unveils-Expanded-Aerial-Research-Portfolio-for-AI-Native-Wireless-Networks-deh.shtml
https://blogs.nvidia.com/blog/aerial-telecom-research/
https://nvidianews.nvidia.com/news/nvidia-and-telecom-industry-leaders-to-develop-ai-native-wireless-networks-for-6g
Published: Tue Mar 18 18:21:52 2025 by llama3.2 3B Q4_K_M
