Samsung Electronics, in collaboration with KT, has successfully conducted a 6G AI radio access network (AI-RAN) trial on KT’s commercial network in South Korea.
The field test, executed by Samsung Research and KT’s Future Network Laboratory, engaged approximately 18,000 users across multiple locations in Seongnam, Gyeonggi Province. This milestone represents the first live demonstration of 6G AI-RAN technology on a functioning network, following earlier simulations completed in June.
The AI-RAN system leverages artificial intelligence to automatically adjust network configurations for individual users, enhancing connectivity and aiming to minimize issues such as call drops and slow data speeds. Samsung and KT have highlighted the technology’s potential in managing the higher data usage anticipated in next-generation 6G networks.
By personalizing network settings at the user level, AI-RAN could allow operators to maintain stable performance even as data demands increase dramatically.
While the trial’s completion is a significant step, Samsung and KT have not released specific metrics such as throughput, latency, or connection drop rates. Past AI-RAN simulations indicated improvements, including up to an 8.65% throughput increase and fewer dropped connections, along with an 87% detection rate for connection failures and 92% accuracy in addressing them.
However, the results of the Seongnam trial at this larger scale remain unclear. The demonstration may have utilized the 3.5 GHz mid-band spectrum and massive MIMO configurations, such as 32T32R or 64T64R antenna arrays, though full technical details were not disclosed.
The success of Samsung and KT’s test signals broader interest in AI-RAN technology globally. Telecom vendors and equipment manufacturers are increasingly exploring AI-powered network solutions. This trend drives demand for GPU and Neural Processing Unit (NPU) edge hardware, RAN Intelligent Controllers (RIC), and Machine Learning Operations (MLOps).
Companies such as Qualcomm, Intel, and NVIDIA are positioned to benefit as telecom operators expand AI-RAN trials beyond South Korea, with major players including NTT DOCOMO, KDDI, Verizon, and SoftBank engaging in similar pilot programs.
Energy efficiency has emerged as a key consideration for telecom operators evaluating AI-RAN deployments. High-power GPUs, like those from NVIDIA, consume around 300 watts, prompting interest in lower-power AI accelerators that deliver similar optimization benefits without steep energy costs. This balance of performance and efficiency could shape the design of future edge computing infrastructure.
The Seongnam trial represents a pre-6G validation step, with full-scale 6G deployments expected to begin around 2026. As AI-RAN technology matures, it could become an essential tool for managing increasingly complex and data-heavy networks, providing faster, more reliable, and intelligent connectivity for users worldwide.
For Samsung, KT, and the broader telecom industry, this successful field test underscores the growing role of AI in shaping the future of mobile communications.
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