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Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN

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arxiv 2505.15848 v1 pith:FRDYZLHN submitted 2025-05-19 cs.NI cs.ITmath.IT

Sebastian Cammerer , Guillermo Marcus , Tobias Zirr , Fayçal Aït Aoudia , Lorenzo Maggi , Jakob Hoydis , Alexander Keller This is my paper
classification cs.NIcs.ITmath.IT
keywords researchnvidiaplatformsionnaai-ranalgorithmscellularcomputing
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We introduce the NVIDIA Sionna Research Kit, a GPU-accelerated research platform for developing and testing AI/ML algorithms in 5G NR cellular networks. Powered by the NVIDIA Jetson AGX Orin, the platform leverages accelerated computing to deliver high throughput and real-time signal processing, while offering the flexibility of a software-defined stack. Built on OpenAirInterface (OAI), it unlocks a broad range of research opportunities. These include developing 5G NR and ORAN compliant algorithms, collecting real-world data for AI/ML training, and rapidly deploying innovative solutions in a very affordable testbed. Additionally, AI/ML hardware acceleration promotes the exploration of use cases in edge computing and AI radio access networks (AI-RAN). To demonstrate the capabilities, we deploy a real-time neural receiver - trained with NVIDIA Sionna and using the NVIDIA TensorRT library for inference - in a 5G NR cellular network using commercial user equipment. The code examples will be made publicly available, enabling researchers to adopt and extend the platform for their own projects.

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