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Samsung Electronics : and KDDI Successfully Complete AI-Powered Network Optimization Trial on Commercial 5G Standalone Network in Japan

Samsung Electronics : and KDDI Successfully Complete AI-Powered Network Optimization Trial on Commercial 5G Standalone Network in

articleSamsung Electronics Co., Ltd.June 30, 20263/news/samsung-electronics-and-kddi-successfully-complete-ai-powered-network-optimization-trial-on-commercial-5g-standalone-network-in-japan
Samsung Electronics : and KDDI Successfully Complete AI-Powered Network Optimization Trial on Commercial 5G Standalone Network in Japan

About this update from Samsung Electronics Co., Ltd.

Samsung and KDDI Successfully Complete AI-Powered Network Optimization Trial on Commercial 5G Standalone Network in Japan Korea on June 30, 2026 AUDIO Play Download Share open Print Samsung's AI-powered RAN optimization solution delivers up to 52% improvement in 5G downlink throughput Samsung Electronics today announced the successful trial of its AI-powered RAN Speed Optimizer (RSO) on KDDI's commercial 5G Standalone (SA) network in Japan. The joint trial, which began in late 2025 and lasted for several months, demonstrated how AI solutions can deliver benefits in daily operations and actualize a transformative leap in enhancing network performance. Conducted in and around Tokyo, spanning dense urban, suburban and rural areas, the test leveraged 100 MHz of 3.7 GHz TDD spectrum across hundreds of cells. The diverse traffic and network environments allowed robust AI model training to be carried out across real-world conditions. During peak hours, Samsung's RSO delivered an average increase of 31% in 5G downlink throughput across the overall trial area, with gains reaching a maximum increase of 52% in dense urban areas. In addition to substantial performance gains, the trial highlighted the potential and effectiveness of AI-based solutions to enable more precise and adaptive network optimization in commercial environments. Samsung's AI-powered RSO is built to enhance network performance through distinctive parameter optimization per cell. This is a significant change and advancement, where AI-tuned customization moves beyond the conventional cluster-level approach that applies the same parameter settings across multiple cells. Samsung's RSO uses its own AI-based prediction model to analyze site environment data automatically and recommend optimized parameters tailored to each individual cell. The RSO is part of the Samsung CognitiV Network Operations Suite (NOS), a set of diverse AI-powered network automation solutions, AI agents and intelligent applications. This trial benefits operators by automatically adjusting to changing conditions across different network scenarios, allowing for reduced manual intervention and greater cost efficiency. For end users, this means faster and more reliable connections whether they are streaming videos, browsing the web or making calls. "Combining KDDI's accumulated expertise in network innovation and Samsung's technical l...

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