{"id":941154,"date":"2026-03-02T13:47:05","date_gmt":"2026-03-02T18:47:05","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/keysight-and-samsung-demonstrate-end-to-end-ai-ran-validation-workflow-with-nvidia\/"},"modified":"2026-03-02T13:47:05","modified_gmt":"2026-03-02T18:47:05","slug":"keysight-and-samsung-demonstrate-end-to-end-ai-ran-validation-workflow-with-nvidia","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/keysight-and-samsung-demonstrate-end-to-end-ai-ran-validation-workflow-with-nvidia\/","title":{"rendered":"Keysight and Samsung Demonstrate End-to-End AI-RAN Validation Workflow with NVIDIA"},"content":{"rendered":"

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Keysight and Samsung Demonstrate End-to-End AI-RAN Validation Workflow with NVIDIA<\/b><\/p>\n

\nJoint demonstration at MWC 2026 streamlines data collection, artificial intelligence and machine learning training, and benchmarking for AI-driven radio access network modules<\/p>\n

SANTA ROSA, Calif.–(BUSINESS WIRE<\/a>)–Keysight Technologies, Inc.<\/a> (NYSE: KEYS) and Samsung Electronics are collaborating to demonstrate an end-to-end Artificial Intelligence Radio Access Network (AI-RAN) testing and validation workflow with NVIDIA at Mobile World Congress 2026 in Barcelona. The demonstration shows how Keysight\u2019s AI-RAN solution streamlines the validation of AI-driven RAN modules using the Physical Uplink Shared Channel (PUSCH) channel estimation use case, bringing data generation, artificial intelligence\/machine learning (AI\/ML) training, and performance benchmarking into a single automated workflow to accelerate innovation and reduce deployment risk for operators and vendors.<\/p>\n

\nAs AI moves deeper into the RAN, engineers must validate algorithms across diverse real-world network conditions. Data collection, model training, and performance benchmarking often occur in separate environments, making results difficult to compare, reproduce, and trust prior to deployment, particularly for physical-layer functions such as channel estimation that directly impact throughput, reliability, and user experience.<\/p>\n

\nTo address this, Keysight AI-RAN Simulation Toolset<\/a> orchestrates an integrated, end\u2011to\u2011end workflow that automates realistic dataset and scenario generation, AI\/ML model training, and repeatable benchmarking, enabling engineers to compare approaches consistently and gain clear performance insights before field testing. At MWC, this workflow is implemented end-to-end using partner compute and radio platforms to validate AI-driven RAN behavior in a realistic, controlled environment.<\/p>\n

\nThe demonstration integrates Keysight\u2019s AI RAN Simulation Toolset with the NVIDIA Aerial Testbed, an end-to-end, over-the-air AI-RAN research testbed running on platforms including NVIDIA GH200 and NVIDIA <\/a>DGX Spark<\/a>, the NVIDIA Aerial Omniverse Digital Twin (a network digital twin) along with commercial radio hardware such as Analog Devices\u2019 Titan O-RU platform. AI\/ML models were developed by Samsung, NVIDIA, and Keysight, and are trained and benchmarked within a unified test workflow to deliver actionable performance insights.<\/p>\n

Soma Velayutham, Vice President, AI & Telecoms, NVIDIA, said<\/b>: \u201cAs AI moves deeper into the radio access network, validating complex algorithms across diverse, real-world conditions becomes even more critical. By leveraging NVIDIA AI Aerial platforms into a unified workflow, Keysight is simplifying the end-to-end data pipeline, essential for training, validating, and deploying AI-native 5G and 6G networks.\u201d<\/p>\n

Charlie Zhang, Executive Vice President, Samsung Research America, said:<\/b> \u201cOur partnership with Keysight and NVIDIA is revolutionizing network deployment by delivering integrated AI-RAN validation, bridging the gap between theoretical models and real-world implementation. This collaboration empowers the industry to confidently adopt AI-driven RAN solutions, ensuring robust and commercially viable foundations for the future of 6G networks.\u201d<\/p>\n

Balaji Raghothaman, Chief Technologist-6G, Keysight, said:<\/b> \u201cAI in the RAN only delivers value when it can be validated with confidence. Working with NVIDIA and Samsung, we\u2019re demonstrating a streamlined, automated workflow that unifies data generation, AI\/ML training, and benchmarking, helping operators and vendors accelerate deployment, reduce risk, and make more informed decisions as they introduce AI-driven RAN capabilities.\u201d<\/p>\n

Resources:<\/b><\/p>\n