Samsung and KT Validate AI-RAN Optimisation on Live Networks

Samsung and KT Showcase Breakthrough in AI-RAN Optimisation

Samsung and KT, a prominent telecoms operator, have successfully demonstrated the capabilities of AI-driven Radio Access Network (AI-RAN) optimisation on live commercial networks. This landmark achievement highlights the potential of artificial intelligence in maintaining service stability, even as users navigate through challenging and dynamic environments. Following a simulation phase completed in June, this marks the first time this advanced architecture has been validated outside of controlled lab conditions—bringing the technology closer to real-world applications.

As data consumption continues to surge globally, traditional network strategies that apply a uniform configuration across entire cell sectors are proving inadequate. Samsung and KT’s AI-RAN innovation represents a paradigm shift in network operations. Instead of forcing devices to adjust to fixed network settings, the AI-powered system dynamically adapts to each device’s context and connectivity conditions, ensuring uninterrupted service quality.

How AI-RAN Technology Works

The AI-RAN system leverages predictive analytics to tailor configurations for every connected device in real time. Unlike legacy base stations that offer a one-size-fits-all approach, AI-RAN analyses each user’s movement patterns, network usage history, and environmental variables. By identifying connectivity risk factors ahead of time, the system preemptively adjusts network parameters to avoid potential disruptions. This innovative use of artificial intelligence optimises the user experience, particularly for those in high-mobility or weak-signal areas.

In the trial conducted in Seongnam, Gyeonggi Province, Samsung Research and KT’s Future Network Laboratory focused on approximately 18,000 users, with a particular emphasis on historically problematic areas for connectivity. The results were compelling—a significant reduction in interruptions for targeted users, alongside overall network performance enhancement. By optimising for outliers or “edge cases,” the AI system also benefited non-targeted users in the same coverage zones. This underscores how adaptive technologies can boost network reliability and efficiency across the board.

Implications for Future 6G Networks

The successful deployment and validation of AI-RAN on commercial networks signal a new era for next-generation connectivity, serving as a foundation for 6G network development. As 5G evolution continues, the ability to handle skyrocketing data loads and complex mobility demands will only grow in importance. Samsung and KT’s findings highlight how AI-integrated solutions will play a central role in ensuring that future networks are not only faster but also more intelligent and adaptive.

According to JinGuk Jeong, Executive Vice President at Samsung Research, “This is a major milestone that shows how AI can improve user experience on real-world commercial networks.” Echoing this sentiment, Jong-Sik Lee, Executive Vice President at KT, noted, “Together with Samsung, we will continue developing customised optimisation technologies to deliver stable and uninterrupted service, paving the way for core 6G capabilities.”

What This Means for Businesses and Consumers

The validation of AI-RAN technology confirms a shift toward more software-defined, predictive wireless infrastructure. Business leaders managing mobile workforces or IoT deployments should view this as a signal to assess connectivity providers’ roadmaps for AI-integrated networks. Critical Service Level Agreements (SLAs) will benefit from these advancements, especially in challenging connectivity scenarios like rural areas or crowded urban zones.

As telecom operators integrate AI-driven optimisation technologies, consumers can look forward to fewer dropped calls, seamless streaming, and improved network reliability, irrespective of their location or mobility. This aligns with a broader push to create smarter, more resilient communication frameworks that will underpin the hyper-connected world of tomorrow.