Next Generation AI-native Mobile Network Architecture for Emerging AI Agents.

Next Generation AI-native Mobile Network Architecture for Emerging AI Agents.

The rapid development of AI, including emerging AI devices, AI applications and services, is driving the need for an AI-native architecture that integrates intelligence into network functions, procedures and operations. This proposal explores next-generation system architecture to support the needs emerging AI agents - intelligent systems capable of real-time decision-making, adaptive learning, and human-like interaction.
By embedding AI agents directly into the communication infrastructure, this approach enhances efficiency, autonomy, and user experience across various domains, from human-machine collaboration to autonomous network planning and design. Unlike conventional AI-driven optimizations, a native AI-based network architecture treats AI as an intrinsic component rather than an add-on, enabling more dynamic, flexible and scalable interactions. This research aims to define the basic principles of such architecture, investigate the impact of AI agents on mobile network architecture, and propose a framework for their implementation, positioning emerging AI agents as key enablers of next-generation communication systems.

Partners that have “Network for AI” and/or “AI for Network” background to form international consortium from representatives of different countries.