Catenaa, Sunday, April 26, 2026- Nokia, Nvidia, and Orange have launched a joint initiative to develop artificial intelligence-based radio access networks, known as AI-RAN. The project aims to improve mobile network performance, increase energy efficiency, and prepare infrastructure for future 6G systems.
The companies said the collaboration will explore how AI and GPU-based computing can be integrated directly into radio networks. The goal is to shift mobile infrastructure toward more automated and software-driven systems.
The partnership will test how GPU-powered radio processors can enhance signal processing and improve overall network performance. These systems are designed to handle complex radio functions that traditionally rely on fixed hardware.
A key focus is the use of artificial intelligence to optimize radio access network operations in real time. This includes traffic scheduling, beamforming, interference management, and power control.
By automating these processes, the companies aim to reduce network congestion and improve efficiency across mobile systems. AI models will also be tested for predictive optimization, allowing networks to adjust performance before congestion occurs.
The project includes both cloud-based and purpose-built radio environments. This hybrid approach is intended to give telecom operators more flexibility in how they deploy and manage network resources.
Energy efficiency and network performance goals
A major objective of the AI-RAN initiative is reducing energy consumption across telecom infrastructure. Mobile networks are increasingly energy-intensive due to rising data demand and expanding 5G usage.
The companies said AI-driven systems could reduce unnecessary energy use by optimizing how and when network resources are activated. This includes adjusting processing loads and radio transmission strength based on demand.
Orange said the collaboration is part of its broader strategy to build more efficient and sustainable networks. The operator is focusing on improving performance while reducing operational costs and environmental impact.
6G readiness and spectrum strategy
The partners also plan to improve spectral efficiency across existing and future frequency bands. This includes the upper 6 GHz band, which is expected to play an important role in future 6G deployment.
The companies said the AI-RAN system is designed to support a smooth transition toward 6G networks. Instead of replacing infrastructure, the system will allow software-based upgrades over time.
This approach is intended to extend the lifespan of current networks while preparing them for next-generation requirements. It also supports more efficient use of computing resources across telecom systems.
Orange said AI integration could enable advanced features such as radio sensing and predictive network adjustments. These capabilities may allow networks to respond dynamically to environmental and traffic changes.
Industry competition and parallel projects
The AI-RAN initiative comes as other telecom companies explore similar technologies. Ericsson recently signed a cooperation agreement with SK Telecom to study AI-based radio networks.
That project focuses on improving automation, security, and energy efficiency in mobile systems. It reflects a wider industry shift toward AI-driven telecom infrastructure.
Telecom vendors are increasingly competing to define how artificial intelligence will be integrated into future 5G and 6G networks. The goal is to build more adaptive systems capable of handling growing data demand.
Company roles and statements
Orange said the collaboration with Nokia and Nvidia supports its long-term network transformation strategy. The company said it is working to build systems that are more efficient, flexible, and sustainable.
Nokia said artificial intelligence is reshaping how telecom networks are designed and operated. The company said AI-RAN represents a step toward cognitive and self-optimizing networks.
Nvidia is contributing GPU technology that enables high-performance computing within radio systems. This allows more advanced processing to be performed closer to the network edge.
Executives from all three companies said the collaboration is aimed at creating a unified architecture that combines AI and radio access technologies.
Nokia is also expanding its infrastructure footprint in other regions. The company is involved in broadband expansion projects in underserved areas in the United States.
These deployments include optical transport systems, routing infrastructure, and fixed access equipment. The goal is to improve connectivity in rural and low-access regions.
Industry analysts say these parallel efforts highlight Nokia’s broader strategy of combining traditional telecom infrastructure with next-generation technologies.
The AI-RAN project reflects a broader transformation in the telecom industry toward intelligent and software-defined networks. Operators are preparing for higher data usage, automation, and future 6G deployment.
Industry experts expect artificial intelligence to play a central role in shaping mobile networks over the next decade. AI integration is likely to influence both performance and network architecture.
The collaboration between Nokia, Nvidia, and Orange is among the most advanced efforts so far to bring AI directly into radio access infrastructure.
