Keysight Technologies, in collaboration with Samsung Electronics and NVIDIA, has demonstrated an integrated end-to-end Artificial Intelligence Radio Access Network (AI-RAN) testing and validation workflow at Mobile World Congress 2026 in Barcelona. The showcase focuses on the Physical Uplink Shared Channel (PUSCH) channel estimation use case, automating realistic dataset generation, AI/ML model training, and repeatable performance benchmarking within a single, unified workflow. This approach addresses key challenges in validating AI-driven RAN modules under diverse real-world conditions, reducing deployment risk and accelerating innovation for operators and vendors.
As AI integrates deeper into radio access networks, validating physical-layer algorithms like channel estimation—critical for throughput, reliability, and user experience—requires realistic, repeatable testing across varied network conditions. Traditional approaches often separate data collection, training, and benchmarking, hindering comparability and trust prior to deployment. Keysight’s AI-RAN Simulation Toolset unifies these stages, generating controlled yet realistic datasets, training models, and providing actionable performance insights in a streamlined pipeline.
The demonstration leverages:
This closed-loop workflow enables engineers to compare AI approaches consistently, identify performance gains, and reduce risk before field trials.
“As 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,” said Soma Velayutham, Vice President, AI & Telecoms, NVIDIA.
“Our 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,” said Charlie Zhang, Executive Vice President, Samsung Research America.
“AI in the RAN only delivers value when it can be validated with confidence. Working with NVIDIA and Samsung, we’re 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,” said Balaji Raghothaman, Chief Technologist-6G, Keysight.
The collaboration highlights a practical path forward for AI-native networks, combining advanced simulation, compute platforms, and commercial hardware to support scalable, reliable AI-RAN deployment.
About Keysight Technologies
At Keysight, we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product life cycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world.
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