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On Wed, 5 Mar, 4:02 PM UTC
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Keysight and Samsung Advance AI-for-RAN Based on the NVIDIA AI Aerial Platform
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 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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Keysight, Samsung, and NVIDIA Collaborate on AI-Optimised RAN Technology
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.
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Keysight and Samsung advance 5G with AI-based RAN tech By Investing.com
SANTA ROSA, Calif. - Keysight Technologies , Inc. (NYSE: NYSE:KEYS), a $26.57 billion market cap technology leader with a robust current ratio of 2.95, has announced a collaboration with Samsung (KS:005930) and NVIDIA (NASDAQ:NVDA) to develop artificial intelligence (AI) models aimed at improving radio access network (RAN) performance. The collaboration focuses on enhancing system capacity, reducing power consumption, and increasing throughput for Samsung's 5G-Advanced and 6G technologies. According to InvestingPro data, the company maintains a healthy gross profit margin of 62.57%, demonstrating its operational efficiency in the competitive tech sector. The initiative, part of the AI-RAN Alliance work item, will be showcased at the Mobile World Congress 2025. Keysight's Channel Emulation Solutions have been instrumental in training these AI models, which have demonstrated a 30% improvement in cell edge throughput in lab environments compared to traditional static rules-based approaches. Nine analysts have recently revised their earnings expectations upward for the upcoming period, as revealed by InvestingPro analysis, suggesting growing confidence in the company's technological initiatives. Samsung's implementation of the AI model into their vRAN software solution, showcased using Keysight's technology, marks a significant step toward more efficient and powerful telecommunications networks. The AI model, which focuses on precise channel estimation and optimized resource allocation, was evaluated using an end-to-end setup that included Samsung's radio point and a distributed unit based on the NVIDIA AI Aerial platform, running on the NVIDIA GH200 Grace Hopper Superchip platform. Senior Vice President at Samsung Research, Charlie Zhang, expressed excitement about the performance benefits realized through the collaboration. NVIDIA's Vice President of Telecoms, Soma Velayutham, highlighted the flexibility and efficiency gains unlocked by AI in radio signal processing pipelines. Giampaolo Tardioli, Vice President of 6G and Next (LON:NXT) Generation Technology at Keysight, emphasized the transformative potential of AI-native networks resulting from this partnership. This technological advancement is expected to drive innovation and encourage the adoption of AI-enhanced RAN technologies, contributing to the evolution of next-generation telecommunication networks that are not only AI-native but also sustainable. Despite a recent 9.46% decline in share price over the past week, Keysight's strong market position and innovative developments continue to attract investor attention. For deeper insights into Keysight's financial health and growth potential, including access to comprehensive Pro Research Reports covering 1,400+ top stocks, visit InvestingPro. The information presented in this article is based on a press release statement from Keysight Technologies, Inc. In other recent news, Keysight Technologies reported strong financial results for the first quarter of fiscal year 2025, surpassing analysts' expectations. The company achieved an earnings per share (EPS) of $1.82, exceeding the forecasted $1.69, and reported revenue of $1.3 billion, which was higher than the expected $1.28 billion. Despite these positive earnings, Keysight's stock experienced a decline in after-hours trading. In another development, Keysight Technologies and MediaTek achieved a significant milestone in 5G technology by reaching nearly 12Gbps data throughput in lab tests. This collaboration highlights the advancement in 5G capabilities, which is essential for applications demanding high-speed connectivity. Additionally, Keysight has expanded its radio frequency (RF) portfolio by introducing new compact RF and microwave measurement instruments. These new tools aim to enhance wireless product development and manufacturing with features such as low phase noise and high spectral purity. Meanwhile, Viavi Solutions (NASDAQ:VIAV) announced plans to acquire the high-speed ethernet and network security business lines of Spirent (LON:SPT) Communications from Keysight Technologies. The deal is valued at $425 million and is expected to close in the second quarter of 2025. This acquisition is projected to boost Viavi's Network (LON:NETW) and Service Enablement revenue by $180 million within the first year post-closing.
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Keysight Technologies, Samsung, and NVIDIA have joined forces to develop AI models that enhance radio access network (RAN) performance for 5G-Advanced and 6G technologies, promising improved throughput, reduced power consumption, and increased system capacity.
Keysight Technologies, Samsung, and NVIDIA have announced a groundbreaking collaboration to develop artificial intelligence (AI) models aimed at improving radio access network (RAN) performance for 5G-Advanced and 6G technologies 12. This initiative, developed under the AI-RAN Alliance, addresses key challenges in traditional RAN systems and promises significant advancements in telecommunications infrastructure.
The collaboration has resulted in the successful generation of advanced AI models for channel estimation in the uplink receiver. These models have demonstrated remarkable improvements in lab environments, including a 30% increase in cell edge throughput compared to conventional static rules-based approaches 13. The AI models are designed to enhance system capacity, improve network efficiency, and deliver superior user experiences.
Samsung will integrate these powerful AI models into their virtual RAN (vRAN) software solution, which will be showcased at the Mobile World Congress (MWC) 2025 in Barcelona 2. The implementation utilizes Samsung's radio point and a distributed unit (DU) based on the NVIDIA AI Aerial platform, running on the NVIDIA GH200 Grace Hopper Superchip platform 1.
Keysight's Channel Emulation Solutions have played a crucial role in providing channel generation capabilities for various conditions, along with real-time signal processing and radio frequency (RF) capabilities 1. The AI-based approach enables:
These advancements are particularly significant for addressing uplink performance concerns in commercial 5G deployments, especially at cell edges where limited user equipment (UE) transmission power affects the base station's received signal-to-noise ratio (SNR) 1.
The collaboration is expected to drive innovation and accelerate the global adoption of AI-enhanced RAN technologies 2. Charlie Zhang, Senior Vice President at Samsung Research, emphasized the importance of this milestone in evolving toward AI-native and sustainable telecommunication networks 12.
Soma Velayutham, Vice President of Telecoms at NVIDIA, highlighted the flexibility and efficiency gains unlocked by AI in radio signal processing pipelines 13. Giampaolo Tardioli, Vice President of 6G and Next Generation Technology at Keysight, underscored the transformative potential of AI-native networks resulting from this partnership 13.
This collaboration aligns with other significant developments in the telecommunications industry. For instance, Jio Platforms Limited (JPL), along with AMD, Cisco, and Nokia, has announced plans to develop an Open Telecom AI Platform, offering a 'multi-domain intelligence' framework to introduce AI and automation to various layers of network operations 2.
As the industry moves towards more advanced and efficient network technologies, collaborations like the one between Keysight, Samsung, and NVIDIA are paving the way for the next generation of telecommunication networks that are both AI-native and sustainable.
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Nokia, Nvidia, and major telecom companies are collaborating to accelerate the development of AI-powered Radio Access Networks (AI-RAN), aiming to enhance 5G network efficiency and pave the way for 6G technology.
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SoftBank and Fujitsu have signed an MoU to collaborate on developing AI-RAN, aiming for commercialization by 2026. They will jointly research vRAN software and establish a verification lab in Dallas, Texas.
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SoftBank and Nvidia collaborate to create the world's first AI and 5G integrated network, while also announcing plans for Japan's most powerful AI supercomputer using Nvidia's latest technology.
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T-Mobile is leading the charge in AI-driven 5G innovation, partnering with NVIDIA, Ericsson, and Nokia to establish a new AI-RAN Innovation Center. This initiative aims to revolutionize mobile networks and enhance user experiences.
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Verizon, in partnership with Samsung and Qualcomm, has successfully implemented a multi-vendor RAN Intelligent Controller in its commercial network, marking a significant advancement in Open RAN technology and AI integration for improved network efficiency.
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