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NTT DOCOMO Implements AI-Driven Network Optimization with Nokia’s MantaRay AutoPilot

NTT DOCOMO has become the first company in Japan to deploy Nokia's MantaRay AutoPilot system, an AI-driven technology designed to optimize mobile network quality. The implementation, effective June 19, marks the first instance of optimizing a commercial mobile network via this system on a public cloud.

The MantaRay AutoPilot system allows for real-time optimization by automatically designing network parameters and policies, eliminating the need for manual pre-design of configurations. This advancement builds on DOCOMO's previous introduction of Nokia's MantaRay SON in November 2025, which automated network optimization through closed-loop control but still required manual configuration.

By specifying desired quality targets, or “intents,” DOCOMO enables the AI to analyze base station quality and performance, determining optimal parameter design and execution schedules. This system can complete a full optimization cycle in as little as 15 minutes, continuously adjusting to congestion patterns across various locations and times of day.

The deployment of MantaRay AutoPilot via a public cloud architecture facilitated rapid implementation, bypassing the constraints of hardware procurement lead times. DOCOMO plans to integrate the system with various cloud-based AI platforms to further enhance its capabilities.

Through this deployment, DOCOMO aims to achieve Autonomous Networks Level 4 as defined by the TM Forum, where AI can predict network conditions and autonomously manage the network without human intervention. The company will continue to evaluate the system's effectiveness in commercial operations, with the goal of advancing AI-driven network management to provide higher-quality communication services.

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