The upcoming Aerial open-source release is packed with capabilities, including:
- Aerial Framework for converting Python code into high-performance CUDA code to run on NVIDIA Aerial RAN computer platforms.
- AI-powered neural models, such as advanced channel estimation for significantly improving wireless performance.
- A dApp framework to provide third-party applications with access to real-time physical layer data through secure application programming interfaces. Developers can deploy AI-powered dApp algorithms that can modify RAN behavior in real time.
- Customizable pipelines with modules that developers can selectively modify or replace with their own code to build full-stack RAN software.
Such features have enabled the first made-in-America AI-native wireless stack, showcasing early 6G applications including spectrum agility and integrated sensing and communications.