Keysight and Samsung Advance AI-for-RAN Based on the NVIDIA AI Aerial Platform
Keysight Technologies,
Inc. has collaborated with Samsung and NVIDIA to
train artificial intelligence (AI) models for Samsung’s 5G-Advanced and 6G
technologies. This enables Samsung to integrate a powerful AI model in their
vRAN software solution, which will be demonstrated at Keysight’s booth, during
Mobile World Congress 2025 (#5F41 Hall 5). The project is being developed at
the AI-RAN Alliance as a work item.
Operators face significant
challenges with traditional RAN performance, including limited throughput, high
latency, and inefficient resource utilization. In commercial 5G deployments,
uplink performance is often a concern, especially at the cell edge where
limited user equipment (UE) transmission power affects the base station’s received
signal-to-noise ratio (SNR). Conventional channel estimation algorithms
struggle in low SNR regions due to excessive noise. AI modeling offers a new
approach by enabling precise channel estimation, optimizing resource
allocation, and reducing power consumption. This enhances system capacity,
improves network efficiency, and delivers superior user experiences.
Keysight’s
Channel Emulation Solutions provide channel generation
capabilities for a wide variety of channel conditions, along with real-time
signal processing and radio frequency (RF) capabilities. Samsung successfully
generated advanced AI models for channel estimation in the uplink receiver, resulting in significant gains observed
in the lab environment. For example, simulated experiments showed a 30% better
cell edge throughput by using an AI model for channel estimation instead of
the current static rules-based approach. The performance evaluation of this AI
model was conducted using an end-to-end setup that included Samsung’s radio
point and a distributed unit (DU) based on the NVIDIA AI
Aerial platform. It was implemented on the NVIDIA GH200 Grace Hoppe Superchip
platform, and Keysight Channel Emulation and Core Emulation Solutions.
This accomplishment will drive innovation and pave the way for
the widespread adoption of AI-enhanced RAN technologies.
Charlie Zhang, Senior Vice President at Samsung Research, said: “We
are excited to realize these amazing performance benefits of AI-based channel
estimation through close collaboration with Keysight, NVIDIA, and the AI-RAN
Alliance. This is an important milestone for our industry, as we evolve toward
a future of next-generation telecommunication networks that are AI-native and sustainable.”
Soma Velayutham, Vice President, Telecoms at NVIDIA, said: “With
the power of AI, the radio signal processing pipeline can be much more
flexible, unlocking significant performance and efficiency gains. Keysight’s
AI-for-RAN innovation, in collaboration with Samsung and NVIDIA, is a
significant step toward smarter, more reliable AI-native wireless networks.”
Giampaolo Tardioli, Vice President, 6G and Next Generation
Technology at Keysight, said: “Our collaboration with
Samsung, NVIDIA, and AI-RAN Alliance underscores the transformative potential
of AI-native networks. This partnership not only enhances performance and
reduces power consumption but also paves the way for more energy-efficient
networks.”
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