NTT DOCOMO and VIAVI Solutions have completed a collaborative study showcasing AI-driven radio access network (RAN) control for next-generation 6G mobile networks. The results will be presented at VIAVI’s Stand 5B18 during Mobile World Congress (MWC) Barcelona 2026.
Traditionally, base stations perform beamforming by selecting transmission beams based on network quality feedback from user devices (UEs). In this demonstration, DOCOMO’s Self-awareness Network concept was tested using VIAVI’s digital twin and TeraVM AI RAN Scenario Generator (AI RSG) simulator. The study showed that reducing network control overhead can improve system throughput by up to 20%, freeing more wireless resources for data transmission.
The tests were conducted in a simulated environment representing multiple base stations around the Tokyo Station area. Each base station chose the optimal beam for each UE from eight candidates, relying on predicted network quality rather than extensive real-time measurements. These predictions were generated by VIAVI’s AI RSG, while the digital twin provided the simulated network measurements
“This demonstration shows that the Self-awareness Network concept significantly reduces the need for conventional network quality measurements and UE reporting,” said Ian Langley, Senior Vice President, Wireless Business Unit, VIAVI. “Intelligent technologies such as tailored network digital twins and AI-powered simulators based on high-quality, trusted, real-world data enable highly efficient network control.”
“AI and digital twin are expected to be deployed across a broad range of industries, and AI for network will contribute to the full spectrum of 6G values. We believe that this cooperation between the two companies will contribute to the realization of 6G technologies, including AI for network,” said Hiroyuki Oto, Senior Vice President, General Manager of 6G-Tech Department, NTT DOCOMO.
DOCOMO’s Self-awareness Network is a concept leveraging AI and digital twin technologies to improve network performance and efficiency across diverse radio environments. Network quality is evaluated within a digital twin environment using data such as location information and radio propagation characteristics to determine optimal network control. Network control is then performed based on these evaluation results, whereby the utilization of AI technology can enable real-time adaptation to dynamic environments.
DOCOMO and VIAVI will continue to advance studies on 6G mobile communications. The two companies will also further explore related technologies, including AI and digital twins.
