du deploys Nokia’s autonomous 5G Advanced slicing to create self-optimizing, intent-driven connectivity services

du deploys Nokia’s autonomous 5G Advanced slicing to create self-optimizing, intent-driven connectivity services

(IN BRIEF) Nokia and du have deployed the world’s first autonomous 5G Advanced slicing solution, enabling du to deliver premium, self-adjusting network slices that automatically align with real-time performance needs. The system uses Nokia’s AirScale hardware, MantaRay intelligence, and rApps automation to evaluate slice behavior and modify RAN policies without human intervention. With machine-learning-driven controls, du can ensure dedicated capacity for enterprise customers and provide low-latency slices for gaming and other demanding consumer services. du CTO Saleem Alblooshi said the milestone strengthens du’s ability to guarantee service performance and prepares its network for eventual 6G capabilities, while Nokia’s Mikko Lavanti highlighted the role of autonomous slicing in service differentiation and future monetization opportunities.

(PRESS RELEASE) ESPOO, 3-Dec-2025 — /EuropaWire/ — Nokia and du have taken a major step forward in the evolution of mobile networks by rolling out the first commercial implementation of an autonomous 5G Advanced network slicing solution. This new capability redefines how connectivity can be delivered, allowing du to offer tailored, premium-grade slices of its 5G network that can adjust themselves automatically to meet the real-time demands of different customers and applications.

With this deployment, du can create slices that actively “manage themselves”—constantly monitoring performance conditions in the radio access network and modifying policies on the fly without manual intervention. This introduces a level of adaptability designed for high-stakes and high-traffic scenarios alike: from enterprise operations requiring guaranteed throughput, to live event broadcasting, interactive gaming, immersive XR environments, and emerging AI-driven use cases.

Machine learning sits at the core of the new automation layer. For example, if an enterprise customer requires assured capacity in a dense urban zone, the system can preserve their network conditions regardless of congestion. In a busy location filled with gamers and data-heavy users, the network can automatically assign a low-latency slice to ensure a smooth, uninterrupted experience. The solution is powered by several Nokia technologies, including 5G AirScale base stations, Nokia MantaRay intelligence, and operational automation through rApps.

du’s Chief Technology Officer, Saleem Alblooshi, said the milestone strengthens the operator’s ability to deliver exceptional connectivity experiences across its network. He highlighted that intent-based slicing gives du a way to guarantee performance today while preparing its architecture for even more advanced capabilities expected as the industry transitions toward 6G.

Mikko Lavanti, Nokia’s Senior Vice President for Mobile Networks in the Middle East and Africa, described the deployment as a strong demonstration of Nokia’s collaborative innovation with leading operators. He noted that autonomous slicing provides a practical path for telecom providers to differentiate their services and unlock new revenue opportunities, while supporting the next wave of digital applications that depend on high reliability and instantaneous responsiveness.

The capability delivered by this project serves as a model for how autonomous slicing can support commercial services at national scale. It enables du to build a more intelligent, responsive, and efficient 5G network that can support next-generation services for businesses, industries, and everyday users.

About Nokia

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile, and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Media inquiries 

Nokia Press Office
Email: 

SOURCE: Nokia

MORE ON NOKIA, ETC.:

EDITOR'S PICK:

Comments are closed.