Samsung Electronics and KT Corporation have completed a live-network validation of AI-based radio access network (AI-RAN) optimization technology. This follows earlier simulation tests and marks the first time the system has been assessed in real operating conditions. The technology focuses on improving user-level communication by adjusting network configurations based on individual wireless environments rather than applying the same settings across all devices connected to a base station.
AI-RAN analyzes user movement patterns, weak-signal areas, and recurring connection issues to anticipate potential disruptions. It then applies tailored configurations to help reduce drops in connectivity. During a field test in Seongnam, Gyeonggi Province, the companies evaluated around 18,000 users across varied conditions. Users with a history of frequent disconnections were given individualized configurations, and the results reflected a meaningful reduction in failures both for these users and others in the surrounding network area.
The findings suggest that user-level optimization may play an important role in preparing networks for future 6G demands, where higher data loads and diverse environments will require more adaptive systems. Samsung and KT plan to extend testing to additional commercial networks and continue research toward integrating AI-driven capabilities into next-generation communication technologies.
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