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Keysight, Samsung, and NVIDIA Collaborate on AI-Optimised RAN Technology
Keysight, Samsung, and NVIDIA Collaborate on AI-Optimised RAN Technology
RAN-tastic Hype

Keysight, Samsung, and NVIDIA Collaborate on AI-Optimised RAN Technology

This enables Samsung to integrate these AI models into its virtual RAN (vRAN) software.

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Key takeaways

  • Keysight, Samsung, and NVIDIA collaborate to enhance 5G-advanced and 6G RAN performance using AI.
  • Samsung integrates AI models into its virtual RAN software, showcased at Mobile World Congress 2025.
  • The AI-RAN Alliance addresses traditional RAN challenges like throughput, latency, and resource efficiency.
  • Samsung's recent RedCap trial marks a milestone in private 5G network capabilities.
  • Project Moohan combines multimodal AI with advanced XR features for Samsung's first Android XR headset.
5 min

US-based Keysight Technologies has partnered with Samsung and NVIDIA to develop AI models to improve radio access network (RAN) performance for 5G-advanced and 6G technologies. This collaboration enables Samsung to integrate these AI models into its virtual RAN (vRAN) software, which will be showcased at the Mobile World Congress (MWC) 2025 in Barcelona.

Developed under the AI-RAN Alliance, the initiative addresses key challenges in traditional RAN systems, such as limited throughput, high latency, and inefficient resource utilisation. 

This development comes right after the company’s recent collaboration with Hyundai to complete what is claimed to be the industry’s first end-to-end reduced capability (RedCap) trial over a private 5G network. 

Samsung will also unveil its first Android XR headset, Project Moohan, by integrating multimodal AI with advanced XR capabilities. 

Charlie Zhang, senior VP at Samsung Research America, stated, “This collaboration marks a significant milestone as we move toward AI-native and sustainable telecommunication networks.” 

AI-based channel estimation models have demonstrated a 30% improvement in cell edge throughput during lab tests compared to conventional methods. These advancements optimise resource allocation, enhance system capacity, and reduce power consumption.

Samsung’s AI model evaluation was conducted using an end-to-end setup featuring its radio point and distributed unit (DU) on NVIDIA’s AI Aerial platform powered by the GH200 Grace Hopper Superchip. 

Keysight’s Channel Emulation Solutions enabled precise testing under various conditions. Giampaolo Tardioli, GM and VP at Keysight, highlighted the transformative potential of this partnership in advancing energy-efficient networks.

Soma Velayutham, GM for AI, 5G and telecoms at NVIDIA, also emphasised the flexibility and efficiency gains unlocked by AI in signal processing pipelines. The collaboration is expected to drive innovation and accelerate the global adoption of AI-enhanced RAN technologies.

At MWC 2025, Jio Platforms Limited (JPL), along with AMD, Cisco, and Nokia, also announced plans to develop an Open Telecom AI Platform. It offers a ‘multi-domain intelligence’ framework to introduce AI and automation to ‘every layer’ of network operations. 

Even AWS has entered the game with its new cloud solutions to boost 5G networks for telecom operators. 
At the same event, SynaXG (a provider of AI-RAN solutions), in collaboration with Kyocera (Japanese manufacturer), and NVIDIA claimed to have unveiled the world’s first software-defined mmWave 5G vRAN solution.

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