Trends
Samsung and KT validate AI-RAN on commercial networks, boosting 6G prospects
Samsung and KT show AI RAN can enhance user connectivity, though broader commercial adoption still faces technical and strategic hurdles.
Headline
Samsung and KT show AI RAN can enhance user connectivity, though broader commercial adoption still faces technical and strategic hurdles.
Context
Samsung Electronics and KT Corporation have successfully demonstrated AI-based Radio Access Network (AI RAN) optimisation on KT’s commercial mobile network in Seongnam, Gyeonggi Province. The validation, announced this week, marks the first time the technology has been tested under real operating conditions rather than controlled simulations. The field trial covered around 18,000 users across areas with varying signal-quality challenges. AI RAN adjusts radio parameters at an individual-user level, rather than applying uniform optimisation to an entire cell. By learning from usage patterns and movement behaviour, the system predicts connection instability and proactively adjusts network configurations to reduce failures.
Evidence
Pending intelligence enrichment.
Analysis
According to the companies, users who previously experienced repeated connection problems saw a significant drop in failures after the AI RAN-driven adjustments were applied. Service quality also improved for other users within the same geographic zones, indicating broader cell-level benefits. Samsung’s research division and KT’s Future Network Laboratory plan to expand testing to additional commercial environments, viewing AI-driven optimisation as a foundational component of future 6G architectures. Also Read: AWS launches Project Rainier with 500,000 Trainium2 chips Also Read: Telus and Samsung push Open RAN upgrade The validation is a meaningful milestone for next-generation RAN development, particularly as global vendors and operators explore how artificial intelligence can respond to the rising complexity of future networks. AI RAN is expected to play a major role in 6G, where billions of connected devices, new mobility patterns and ultra-low latency requirements will demand real-time, automated decision-making within the network.
Key Points
- Samsung Electronics and KT Corporation have successfully demonstrated AI-based Radio Access Network optimisation on a live commercial network, showing potential advances for 6G development.
- The validation highlights technical gains but also raises questions about real-world operational complexity, costs, and the path to broad commercial adoption.
Actions
Pending intelligence enrichment.
