Samsung and KT validate autonomous network technology with AI and digital twin

Samsung and KT validate autonomous network technology with AI and digital twin at Suwon stadium. The platform simulates wireless networks to automatically adjust settings. The test was carried out with baseball game data over three months.

The AI Cell Twin platform simulates wireless networks in a virtual space to test strategies before implementing them. The technology reduced load imbalance by up to 34% and traffic concentration by up to 16% at some sites. The network automatically adjusts settings without human intervention, using AI for analysis and a digital twin for validation. The technology was tested starting in July, in stadiums with variable traffic. KT and Samsung Electronics verified autonomous wireless network operation based on AI Cell Twin. The validation took place at high-demand locations, where the data load varied significantly.

The technology can improve network efficiency and quality, with no need for manual adjustments. The solution depends on real data and a simulation platform, which limits its application in regions without adequate infrastructure. The AI Cell Twin platform automatically adjusts the network without human intervention, using real data from baseball games. This avoids traffic spikes and ensures constant speed for all users. The technology was tested for three months at Suwon and Yuseong KT Wiz Park, where the load varied significantly.

Operators can use this to optimize networks without needing manual adjustments. This prevents failures and reduces operating costs. The 34% reduction in load imbalance is a breakthrough. The 16% reduction in traffic concentration also helps avoid congestion. The AI Cell Twin platform is a tool that transforms how networks are managed.

Samsung and KT are developing autonomous network technologies based on AI and digital twin to improve network efficiency and quality. The collaboration between companies such as Samsung and KT shows progress in network automation, which can reduce the need for human intervention in operations. The validation of the technology in real baseball stadiums over three months demonstrates the practical application of AI systems in high-demand scenarios.

NTT, for its part, is also investing in MIMO for IoT, showing that the smart network field is expanding. Autonomous network technology is part of a global effort to make networks more efficient and resilient, with applications that go beyond stadiums, such as smart cities and automated industries. Samsung and KT's autonomous network technology changes how operators manage traffic, reducing load imbalance by up to 34% and concentration by up to 16% at critical points. This took place at stadiums in Suwon, where the load varied significantly during baseball games. The validation was carried out in Suwon and at Yuseong KT Wiz Park, showing potential for expansion to other high-mobility scenarios.

With information from news.samsung.com, businesskorea.co.kr and itmedia.co.jp.

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