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Samsung Advances AI in Mobile Networks With NVIDIA
Samsung Advances AI in Mobile Networks With NVIDIA

Syyaha

time18-03-2025

  • Business
  • Syyaha

Samsung Advances AI in Mobile Networks With NVIDIA

Riyadh, Saudi Arabia – Mar. 18, 2025 – Samsung Electronics Co., Ltd. today announced that the company is working with NVIDIA to advance AI-RAN technologies. The collaboration underscores Samsung's commitment to fostering a robust ecosystem and diversifying the computing platforms available. This endeavor aims to support a smooth and easy adoption of AI in mobile networks by expanding the ecosystem of Central Processing Unit (CPU) and bolstering partnerships with Graphics Processing Unit (GPU) companies. To maximize and bring the power of AI into Radio Access Networks (RAN), Samsung has made significant technological progress leveraging its in-house AI and radio expertise since the beginning of 2024. One of the pivotal milestones achieved was the interoperability between Samsung's O-RAN compliant virtualized RAN (vRAN) and NVIDIA's accelerated computing, which took place in Samsung Research's lab in late last year. Samsung has successfully demonstrated a proof-of-concept to verify how NVIDIA's accelerated computing can be seamlessly integrated into software-based networks to help enhance AI capabilities. This achievement further solidifies Samsung's strides in moving ahead with its unique innovation of combining AI and RAN. With the baseline, Samsung can seamlessly deliver AI-RAN by integrating its vRAN (virtualized Distributed Unit, vDU) with NVIDIA's accelerated computing into a commercial-off-the-shelf (COTS) server where Samsung's vRAN software is installed. At Mobile World Congress (MWC) 2025, Samsung showcased its real-world vRAN combined with NVIDIA's accelerated computing In addition, the companies will continue to explore the best-of-breed combinations of AI-RAN options leveraging Samsung vRAN with NVIDIA's Grace CPU and/or GPU based AI platform using Compute Unified Device Architecture (CUDA) technologies. All of these are optimal for each network deployment environment—from rural, sub-urban to dense urban. At MWC 2025, Samsung presented its leadership in AI-For-RAN innovations, as exemplified through two AI-RAN demonstrations, endorsed by the AI-RAN Alliance and developed in collaboration with various members including NVIDIA. The demonstrations included AI-based physical uplink shared channel (PUSCH) estimation and non-uniform modulation, showing a glimpse in innovative ways to infuse AI into mobile networks. Samsung and NVIDIA met at Samsung's booth during MWC 2025 to discuss the companies' collaboration to advance AI in network (From left, NVIDIA Senior Vice President for Telecom Ronnie Vasishta and Samsung Electronics Executive Vice President & Head of R&D June Moon) 'While AI is reshaping the telecommunications landscape, Samsung is helping operators to build the right network architecture and environment where AI can thrive, all powered by our proven and AI-powered vRAN,' said June Moon, Executive Vice President, Head of R&D, Networks Business at Samsung Electronics. 'This collaboration with NVIDIA signifies our continued efforts to expand GPU and CPU ecosystem, and we look forward to exploring more possibilities in the future.' 'AI-RAN is a critical technology that delivers transformative gains in network utilization, efficiency and performance, while enabling new AI services,' said Ronnie Vasishta, Senior Vice President for Telecom at NVIDIA. 'Samsung is a frontrunner in AI-RAN development. Their vRAN expertise and software integrated with the NVIDIA's AI accelerated computing will accelerate the path to AI-native wireless networks.' As one of the founding members of the AI-RAN Alliance forged in 2024, Samsung is actively participating in advancing AI-RAN technologies with academic institutions and industry leaders like NVIDIA. As an elected Vice Chair of Board of Directors as well as the Working Group #3 (AI-on-RAN), Samsung is leading industry towards AI-powered next-generation networks. Samsung's end-to-end software-based network architecture is the optimal foundation to easily deploy and adopt AI across every layer of the network. As such, Samsung can empower operators with its flexible networks and sharpen their competitive edge to stay at the front of the AI era. This advancement opens doors for utilizing network infrastructure not only for mobile communications but also for processing general workloads, providing a data center-like network architecture that will present new business opportunities. Samsung has pioneered the successful delivery of 5G end-to-end solutions, including chipsets, radios and cores. Through ongoing research and development, Samsung drives the industry to advance 5G networks with its market-leading product portfolio, from vRAN 3.0, Open RAN, core to private network solutions and AI-powered automation tools and applications. The company currently provides innovative network solutions to mobile operators and enterprises that deliver boundless connectivity to hundreds of millions of users worldwide. The post Samsung Advances AI in Mobile Networks With NVIDIA appeared first on سياحة.

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

Yahoo

time04-03-2025

  • Business
  • Yahoo

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 SANTA ROSA, Calif., March 04, 2025--(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." Resources Product page: Channel Emulation Solutions MWC 25 event page: Keysight at Mobile World Congress 2025 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 View source version on Contacts Keysight Media Contacts North America PR Teampdl-americas-keysight@ Fusako DohiAsia+81 42 660-2162fusako_dohi@ Jenny GallacherEurope+44 118 927 Sign in to access your portfolio

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