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Keysight and Samsung Advance AI-for-RAN Based on the NVIDIA AI Aerial Platform

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Keysight Technologies (NYSE: KEYS) has partnered with Samsung and NVIDIA to develop AI models for 5G-Advanced and 6G technologies. The collaboration focuses on enhancing RAN (Radio Access Network) performance through AI-based channel estimation.

The project, developed within the AI-RAN Alliance, demonstrates significant improvements in network performance:

  • 30% better cell edge throughput compared to traditional static rules-based approaches
  • Enhanced system capacity and network efficiency
  • Reduced power consumption

The implementation utilizes Samsung's radio point and distributed unit based on the NVIDIA AI Aerial platform, running on NVIDIA GH200 Grace Hopper Superchip, alongside Keysight's Channel Emulation and Core Emulation Solutions. The technology will be showcased at Mobile World Congress 2025.

Keysight Technologies (NYSE: KEYS) ha collaborato con Samsung e NVIDIA per sviluppare modelli di intelligenza artificiale per le tecnologie 5G-Advanced e 6G. La collaborazione si concentra sul miglioramento delle prestazioni della RAN (Rete di Accesso Radio) attraverso la stima dei canali basata su AI.

Il progetto, sviluppato all'interno dell'AI-RAN Alliance, dimostra miglioramenti significativi nelle prestazioni della rete:

  • 30% di throughput migliore ai bordi delle celle rispetto agli approcci tradizionali basati su regole statiche
  • Aumento della capacità del sistema e dell'efficienza della rete
  • Riduzione del consumo energetico

L'implementazione utilizza il punto radio e l'unità distribuita di Samsung basati sulla piattaforma NVIDIA AI Aerial, in esecuzione sul superchip NVIDIA GH200 Grace Hopper, insieme alle soluzioni di Emulazione del Canale e Emulazione del Core di Keysight. La tecnologia sarà presentata al Mobile World Congress 2025.

Keysight Technologies (NYSE: KEYS) se ha asociado con Samsung y NVIDIA para desarrollar modelos de IA para las tecnologías 5G-Advanced y 6G. La colaboración se centra en mejorar el rendimiento de la RAN (Red de Acceso Radio) a través de la estimación de canales basada en IA.

El proyecto, desarrollado dentro de la AI-RAN Alliance, demuestra mejoras significativas en el rendimiento de la red:

  • 30% más de rendimiento en los bordes de las celdas en comparación con los enfoques tradicionales basados en reglas estáticas
  • Aumento de la capacidad del sistema y eficiencia de la red
  • Reducción del consumo de energía

La implementación utiliza el punto de radio y la unidad distribuida de Samsung basados en la plataforma NVIDIA AI Aerial, funcionando en el superchip NVIDIA GH200 Grace Hopper, junto con las soluciones de Emulación de Canal y Emulación de Núcleo de Keysight. La tecnología se presentará en el Mobile World Congress 2025.

Keysight Technologies (NYSE: KEYS)는 삼성 및 NVIDIA와 협력하여 5G-Advanced 및 6G 기술을 위한 AI 모델을 개발했습니다. 이 협력은 AI 기반 채널 추정을 통해 RAN(무선 접속 네트워크) 성능을 향상시키는 데 초점을 맞추고 있습니다.

AI-RAN Alliance 내에서 개발된 이 프로젝트는 네트워크 성능에서 상당한 개선을 보여줍니다:

  • 전통적인 정적 규칙 기반 접근 방식에 비해 셀 엣지 처리량이 30% 향상되었습니다.
  • 시스템 용량 및 네트워크 효율성 향상
  • 전력 소비 감소

이 구현은 NVIDIA AI Aerial 플랫폼을 기반으로 한 삼성의 무선 포인트 및 분산 유닛을 사용하며, NVIDIA GH200 Grace Hopper 슈퍼칩에서 실행됩니다. Keysight의 채널 에뮬레이션 및 코어 에뮬레이션 솔루션과 함께 사용됩니다. 이 기술은 2025년 모바일 월드 콩그레스에서 선보일 예정입니다.

Keysight Technologies (NYSE: KEYS) s'est associé à Samsung et NVIDIA pour développer des modèles d'IA pour les technologies 5G-Advanced et 6G. La collaboration se concentre sur l'amélioration des performances de la RAN (Réseau d'Accès Radio) grâce à une estimation des canaux basée sur l'IA.

Le projet, développé au sein de l'AI-RAN Alliance, démontre des améliorations significatives des performances du réseau :

  • 30 % de meilleur débit en bordure de cellule par rapport aux approches traditionnelles basées sur des règles statiques
  • Augmentation de la capacité du système et de l'efficacité du réseau
  • Réduction de la consommation d'énergie

L'implémentation utilise le point radio et l'unité distribuée de Samsung basés sur la plateforme NVIDIA AI Aerial, fonctionnant sur le superchip NVIDIA GH200 Grace Hopper, ainsi que les solutions d'Émulation de Canal et d'Émulation de Noyau de Keysight. La technologie sera présentée au Mobile World Congress 2025.

Keysight Technologies (NYSE: KEYS) hat sich mit Samsung und NVIDIA zusammengetan, um KI-Modelle für 5G-Advanced und 6G-Technologien zu entwickeln. Die Zusammenarbeit konzentriert sich auf die Verbesserung der RAN (Radio Access Network)-Leistung durch KI-basierte Kanalschätzung.

Das im Rahmen der AI-RAN Alliance entwickelte Projekt zeigt erhebliche Verbesserungen der Netzwerkleistung:

  • 30% besserer Zellrand-Durchsatz im Vergleich zu traditionellen statischen regelbasierten Ansätzen
  • Erhöhte Systemkapazität und Netzwerkeffizienz
  • Reduzierter Energieverbrauch

Die Implementierung nutzt den Funkpunkt und die verteilte Einheit von Samsung, die auf der NVIDIA AI Aerial-Plattform basieren und auf dem NVIDIA GH200 Grace Hopper Superchip laufen, zusammen mit den Channel Emulation und Core Emulation Lösungen von Keysight. Die Technologie wird auf dem Mobile World Congress 2025 vorgestellt.

Positive
  • 30% improvement in cell edge throughput performance
  • Strategic partnership with industry leaders Samsung and NVIDIA
  • Innovation in AI-native network technology for 5G-Advanced and 6G
Negative
  • None.

Insights

Keysight's collaboration with Samsung and NVIDIA represents a significant strategic advancement in AI-enabled wireless network technology. The partnership has yielded tangible results, achieving 30% better cell edge throughput through AI-based channel estimation compared to traditional approaches - addressing a critical pain point in commercial 5G deployments.

This development positions Keysight at the intersection of two transformative technologies: advanced telecommunications and artificial intelligence. By enabling Samsung to integrate AI models into their vRAN software solutions, Keysight demonstrates its evolution beyond traditional test and measurement into enabling next-generation network architectures.

The collaboration leverages complementary strengths: Keysight's channel emulation expertise, Samsung's radio technology, and NVIDIA's AI computing platform. This strategic alignment with industry leaders enhances Keysight's credibility in the evolving AI-for-RAN ecosystem and could potentially expand its addressable market as operators seek solutions for network optimization and power efficiency.

While the immediate revenue impact remains uncertain, this positions Keysight within the growing trend toward AI-native networks - a market expected to expand significantly as 5G-Advanced and 6G technologies mature. The partnership demonstrates Keysight's commitment to innovation in an industry increasingly focused on software-defined, AI-optimized solutions.

  • Develops a new AI model to enhance RAN performance and throughput, increase system capacity, and reduce power consumption
  • Collaboration enables Samsung to deploy AI-optimized RAN software globally
  • Demonstration is facilitated by the AI-RAN Alliance and will be showcased at Mobile World Congress 2025

SANTA ROSA, Calif.--(BUSINESS WIRE)-- Keysight Technologies, Inc. (NYSE: KEYS) 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 Hopper 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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About Keysight Technologies

At Keysight (NYSE: KEYS), 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. Learn more at Keysight Newsroom and www.keysight.com.

Keysight Media Contacts

North America PR Team

pdl-americas-keysight@keysight.com

Fusako Dohi

Asia

+81 42 660-2162

fusako_dohi@keysight.com

Jenny Gallacher

Europe

+44 118 927 4003

jenny.gallacher@keysight.com

Source: Keysight Technologies, Inc.

FAQ

What performance improvement does Keysight's AI-based RAN solution achieve for KEYS?

The AI-based channel estimation solution achieves 30% better cell edge throughput compared to traditional static rules-based approaches.

When will Keysight (KEYS) demonstrate the AI-RAN technology with Samsung?

The technology will be demonstrated at Mobile World Congress 2025 at Keysight's booth #5F41 Hall 5.

What specific problems does Keysight's AI-RAN solution address in 5G networks?

It addresses throughput, high latency, inefficient resource utilization, and poor uplink performance at cell edges due to UE transmission power.

What hardware platform is Keysight using for the AI-RAN implementation?

The solution uses NVIDIA GH200 Grace Hopper Superchip platform, along with Keysight's Channel Emulation and Core Emulation Solutions.

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