Nokia has signed a major 5G expansion agreement with Taiwan Mobile to accelerate the transition toward AI-native mobile networks across Taiwan. This strategic partnership aims to enhance network performance, automation, and sustainability through the deployment of Nokia’s latest AirScale portfolio. By integrating advanced software and next-generation hardware, the collaboration focuses on creating highly automated, resilient, and energy-efficient infrastructure. This move is designed to support the increasing volume of AI-generated traffic while enabling Taiwan Mobile to explore new monetization opportunities and premium 5G services.
Nokia AirScale Deployment for Taiwan Mobile
The agreement centers on deploying Nokia’s AirScale portfolio, which includes next-generation baseband and radio solutions. These hardware upgrades are specifically engineered to increase network capacity and improve uplink performance, addressing the unique traffic profiles generated by modern AI applications. Beyond hardware, the deal integrates advanced software capabilities to drive intelligence across the network lifecycle. Key components include the MantaRay SON self-organizing networks solution and Predictive Hardware Analytics (PHWA). These tools utilize AI algorithms to automate operations, provide real-time predictive analytics, and enable closed-loop network assurance. By implementing these technologies, Taiwan Mobile seeks to reduce operational complexity and lower its total cost of ownership. The infrastructure upgrades are also positioned to support sophisticated 5G capabilities, such as network slicing and RedCap, ensuring the network remains capable of delivering high-throughput, premium user experiences as demand for data-intensive applications continues to scale.
AI-Driven Intelligence and Sustainability Goals
The partnership introduces a multi-layered AI strategy focusing on intelligence, infrastructure, and environmental impact. For network resilience, Nokia is implementing AI-enabled self-healing and traffic steering capabilities, allowing the network to adapt dynamically to changing conditions and maintain service continuity during extreme scenarios. Sustainability is a core pillar of the agreement; Nokia will deploy AI-powered energy management algorithms to facilitate traffic-aware optimization and proactive power savings. This integration of energy-efficient hardware and intelligent software is intended to help Taiwan Mobile meet its specific ESG targets and build a low-carbon, high-efficiency network. By automating routine maintenance and optimizing power consumption, the collaboration aims to balance high-performance connectivity with the operational necessity of reducing energy footprints. This dual focus on performance and sustainability provides a foundation for 5G-Advanced and future network evolutions, supporting Taiwan Mobile’s broader "Telco+Tech" business strategy and its goal to lead in the AI era.
Key Takeaways
- Nokia will deploy its AirScale portfolio, including next-generation baseband and radio solutions, to expand 5G capacity.
- The agreement includes the MantaRay SON solution and Predictive Hardware Analytics (PHWA) to automate network operations.
- AI-powered energy management algorithms will be used to help Taiwan Mobile achieve its ESG and sustainability targets.
TechInsyte's Take
In our view, this agreement signals a critical shift from traditional 5G deployment toward a specialized "AI-native" architecture. Rather than treating AI as a peripheral add-on, Nokia and Taiwan Mobile are embedding intelligence directly into the RAN (Radio Access Network) layer to manage the complexities of modern traffic. This approach is essential for operators facing the dual pressure of skyrocketing data demands and strict ESG mandates. By prioritizing predictive analytics and automated energy optimization, Taiwan Mobile is positioning itself to handle the high-uplink requirements of AI applications while simultaneously controlling operational costs. This move suggests that future network leadership will be defined by software-driven intelligence rather than raw hardware capacity alone.
Source: GlobeNewswire
