Trinity research project to integrate agentic AI in mobile and wireless communication systems
Researchers from Trinity and Adapt, the Research Ireland centre for AI-driven digital content technology are leading a project to transform how AI is integrated into mobile and wireless communication systems.
NAIRA (Native AI for Energy Efficient and Sustainable Radio Access Networks) is a pioneering initiative that envisions a new generation of intelligent, energy-aware networks capable of learning, adapting, and optimising themselves in real time.
At its core, NAIRA seeks to embed AI natively within the very architecture of the radio access network (RAN), moving beyond traditional approaches where AI operates as an external optimisation tool. This shift introduces Agentic AI, a new class of autonomous, goal-driven agents that can make local and collective decisions across the network. By doing so, NAIRA will enable networks that can autonomously reconfigure, and optimise, while dynamically balancing energy efficiency, service quality, and operational cost.
The three-year project, funded for €2.5 million via Call 7 of the Disruptive Technologies Innovation Fund (DTIF), will be coordinated by Prof Marco Ruffini from Trinity’s School of Computer Science and Statistics (pictured) and Adapt, and his co-principa investigator Dr Merim Dzaferagic. Industry partners include Dell Technologies, Red Hat, Intel Research and Development Ireland, Software Research Systems, and Tyndall National Institute.
Prof Ruffini said: “NAIRA responds to the rapidly growing energy consumption of communication infrastructures, which is one of the most pressing global challenges – both from a logistical and sustainability perspective.
“As data traffic continues to rise and connectivity becomes ubiquitous, mobile networks have emerged as a major source of energy demand within the ICT sector. NAIRA will address this issue by combining the latest innovations in AI, distributed intelligence, and Open RAN architectures to deliver a sustainable, high-performance framework for the networks of the future.”
Dr Dzaferagic added: “By enabling intelligent collaboration among network components and continuous learning at the edge, NAIRA will demonstrate how artificial intelligence can be harnessed to drastically reduce energy use without compromising connectivity or user experience.
“Its outcomes will contribute directly to Europe’s green and digital transitions, setting the stage for AI-native 6G systems that are both sustainable and self-evolving.”
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