Nokia and Taiwan Mobile have announced a 5G expansion agreement aimed at accelerating the operator’s transition toward AI-native mobile networks. The collaboration will focus on improving network performance, automation, resilience, and energy efficiency as operators prepare for growing demand from AI-driven applications and advanced connectivity services.

Under the agreement, Nokia will deploy its AirScale portfolio, including next-generation baseband and radio solutions, along with software capabilities designed to enhance Taiwan Mobile’s existing 5G infrastructure. The upgrades are expected to increase network capacity, improve uplink performance, enhance spectrum efficiency, and support new service opportunities enabled by advanced 5G capabilities.

A key element of the deployment is the integration of artificial intelligence across multiple areas of network operations. Nokia will introduce AI-driven tools designed to automate network management, improve operational visibility, and enable predictive maintenance.

Applying AI Across the Network Life Cycle

The agreement highlights several areas where AI is being integrated into mobile network operations:

AI-driven network intelligence: Nokia will provide software capabilities that use AI-powered analytics and automation to improve network performance and operational efficiency. These include Predictive Hardware Analytics (PHWA) and MantaRay SON, Nokia’s self-organizing network solution designed to automate network optimization and support closed-loop assurance.

Networks optimized for AI traffic: As AI applications generate new traffic patterns and higher performance requirements, Taiwan Mobile will leverage upgraded radio and baseband technologies to increase capacity and improve network responsiveness. These enhancements are designed to support emerging applications while maintaining quality of service for users.

AI-based energy management: Energy optimization is another focus of the deployment. AI-powered algorithms will enable traffic-aware network adjustments and proactive power management, helping Taiwan Mobile reduce energy consumption while supporting sustainability goals.

Improved network resilience: AI-enabled self-healing and traffic steering capabilities will help the network adapt dynamically to changing conditions. These capabilities are intended to improve service continuity and strengthen resilience during periods of high demand or challenging operating conditions.

Supporting 5G-Advanced Evolution

The expanded infrastructure will support future network capabilities, including network slicing and RedCap (Reduced Capability) connectivity. These technologies are expected to enable new enterprise and consumer applications while allowing operators to create more flexible and efficient networks.

By combining advanced radio access technologies with AI-based automation, Taiwan Mobile is positioning its network for the next phase of mobile evolution, where intelligent software management will play a larger role in optimizing performance, reducing operating costs, and improving sustainability.

As telecom operators worldwide explore AI-native architectures, deployments such as this illustrate the growing role of automation, predictive analytics, and intelligent energy management in the evolution of mobile networks.

Source: Nokia

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