Loading...

Showing 20 of 1774

Sort:
Popularity
Popularity Newest Relevancy
Popularity Newest Relevancy
Samsung, NVIDIA, and Keysight Demonstrate End-to-End AI-RAN Validation Workflow

Added to favorites

Removed from favorites

Samsung, NVIDIA, and Keysight Demonstrate End-to-End AI-RAN Validation Workflow

Samsung Electronics, NVIDIA, and Keysight are advancing a unified validation approach for artificial intelligence radio access network (AI-RAN) development. As artificial intelligence moves deeper into the radio access network, engineering teams need a reliable way to generate realistic datasets, train artificial intelligence / machine learning models, and benchmark performance before field deployment. Working together, the companies demonstrated an end-to-end AI-RAN validation workflow at Mobile World Congress 2026 in Barcelona. The workflow uses Keysight’s AI-RAN Simulation Toolset with the NVIDIA Aerial Testbed and Samsung-developed AI / ML models to validate AI-driven radio access network behavior in a controlled environment. For Samsung, NVIDIA, and Keysight, the objective was to bring the AI-RAN validation process into a single automated workflow. That meant connecting data generation, artificial intelligence / machine learning training, and benchmarking so teams can evaluate performance with more consistency and confidence before deployment. The companies demonstrated an integrated AI-RAN validation workflow using Keysight’s AI-RAN Simulation Toolset, the NVIDIA Aerial Testbed, and Samsung-developed AI / ML models. The workflow focused on the Physical Uplink Shared Channel (PUSCH) channel estimation use case, bringing realistic scenario generation, model training, and performance benchmarking into a unified process.

Viewed 20 of 1774 Load More