AI & Technology

DOCOMO and Samsung Pioneer AI-RAN User-Level Network Optimization to Eliminate Mobile Streaming Delays

Breakthrough joint verification cuts network performance drops by nearly half, paving the way for personalized 6G wireless architecture and intelligent spectrum management.

By 19Network Editorial Team · Aug 10, 2026 · 5 min read

Two modern smartphones display high-definition video streaming beside the stylized logos of Samsung and NTT DOCOMO.

NTT DOCOMO and Samsung Electronics complete AI-RAN trials, cutting network speed drops from 13.1% to 7.2% through user-level predictive optimization.

Key Takeaways

Successful Technology Verification: NTT DOCOMO and Samsung Electronics completed trial verifications for AI-driven radio access network (AI-RAN) technology that adjusts connection settings per individual user.
Significant Performance Boost: In commercial and test network simulations, the frequency of transmission speed drops fell from 13.1% down to 7.2%.
Predictive User Intelligence: The system learns individual movement paths and service usage patterns to adjust frequencies before quality degradation occurs.
GPP Standardization Contribution: The partners co-developed an efficient data-processing procedure to reduce network load, submitting the protocol to the 3GPP standards body.
Foundation for 6G Networks: The achievement establishes a core building block for personalized 6G infrastructure and intelligent, real-time wireless resource allocation.

In a technical milestone that promises to reshape mobile connectivity standards, Japanese telecommunications giant NTT DOCOMO and South Korean electronics leader Samsung Electronics have announced the successful validation of user-customized communication quality optimization technology powered by artificial intelligence. The joint achievement utilizes AI-driven Radio Access Network (AI-RAN) architecture to analyze individual user behavior and real-time wireless conditions, dynamically adjusting network parameters before mobile users experience service degradation or buffering. Traditionally, cellular base stations operate on a macro-level allocation model. In conventional 4G and 5G network configurations, a base station applies uniform transmission parameters across all connected devices within a given sector, irrespective of whether an individual device is streaming ultra-high-definition video, reading a text document, or navigating via GPS. When signal degradation occurs due to environmental obstacles, structural interference, or physical movement, the network typically reacts after the connection speed has already dropped, resulting in video buffering, audio clipping, or call…