{"id":31329,"date":"2026-03-12T09:15:00","date_gmt":"2026-03-12T09:15:00","guid":{"rendered":"https:\/\/www.engineernewsnetwork.com\/blog\/?p=31329"},"modified":"2026-03-02T11:02:21","modified_gmt":"2026-03-02T11:02:21","slug":"ai-ran-testing-using-digital-twins","status":"publish","type":"post","link":"https:\/\/www.engineernewsnetwork.com\/blog\/ai-ran-testing-using-digital-twins\/","title":{"rendered":"AI-RAN testing using digital twins"},"content":{"rendered":"\n

Rohde & Schwarz<\/a><\/strong>, in collaboration with NVIDIA, continues to drive AI-RAN innovation for 5G-Advanced and 6G. The latest testbed integrates ray-tracing-based, site-specific channel emulation with the NVIDIA Sionna Research Kit to enable digital twin-based hardware-in-the-loop testing without leaving the lab.<\/p>\n\n\n

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Testbed for AI\/ML-based neural receiver<\/figcaption><\/figure>\n<\/div>\n\n\n

The testbed integrates hardware-in-the-loop site-specific channel emulation using the NVIDIA Sionna Research Kit, enabling testing of AI-RAN applications under realistic channel conditions. The demonstration highlights the long-term collaboration of Rohde & Schwarz and NVIDIA, focusing on prototyping and validation of AI-RAN with cutting-edge test and measurement solutions.<\/p>\n\n\n\n

Evolving from prior proof-of-concepts in advanced neural receiver design \u2013 including custom constellations for pilotless communication \u2013 the new testbed advances from link-level validation to system-level verification using the full 5G NR protocol stack.<\/p>\n\n\n\n

Powered by a single NVIDIA DGX Spark, the NVIDIA Sionna Research Kit runs a software-defined 5G RAN based on OpenAirInterface, while supporting AI inference workloads that comply with the strict real-time constraints of wireless systems. To showcase the flexibility of the research platform, a novel AI\/ML-enhanced link adaptation algorithm has been integrated into the end-to-end system. It dynamically adjusts the downlink modulation and coding scheme (MCS) to optimise spectral efficiency and link reliability. The AI-driven link adaptation can learn not only site-specific propagation characteristics but also user equipment-specific behavior on the fly, emphasising the need for end-to-end testbeds that capture these effects.<\/p>\n\n\n\n

The testbed integrates the R&S SMW200A vector signal generator featuring dynamic channel emulation capabilities and the FSW signal and spectrum analyzer. Jointly, these instruments enable the emulation of complex site-specific radio channels, seamlessly interfacing with the NVIDIA Sionna RT differentiable ray-tracing software. This closed-loop setup enables researchers and developers to evaluate the performance of novel AI-driven RAN features under dynamic, site-specific RF conditions \u2013 all without leaving the lab.<\/p>\n","protected":false},"excerpt":{"rendered":"

Rohde & Schwarz, in collaboration with NVIDIA, continues to drive AI-RAN innovation for 5G-Advanced and 6G. The latest testbed integrates ray-tracing-based, site-specific channel emulation with the NVIDIA Sionna Research Kit to enable digital twin-based hardware-in-the-loop testing without leaving the lab. Testbed for AI\/ML-based neural receiver The testbed integrates hardware-in-the-loop site-specific channel emulation using the NVIDIA …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[151],"tags":[14464,13669,5940,14465],"class_list":["post-31329","post","type-post","status-publish","format-standard","","category-engineer-news-network-bookshop","tag-ai-ran","tag-nvidia","tag-rohde-schwarz","tag-vidia-sionna-research-kit"],"yoast_head":"\nAI-RAN testing using digital twins - Engineer News Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.engineernewsnetwork.com\/blog\/ai-ran-testing-using-digital-twins\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-RAN testing using digital twins - Engineer News Network\" \/>\n<meta property=\"og:description\" content=\"Rohde & Schwarz, in collaboration with NVIDIA, continues to drive AI-RAN innovation for 5G-Advanced and 6G. The latest testbed integrates ray-tracing-based, site-specific channel emulation with the NVIDIA Sionna Research Kit to enable digital twin-based hardware-in-the-loop testing without leaving the lab. 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