e& UAE and Khalifa University have released a white paper outlining a framework for AI-native 6G networks, presenting a blueprint for integrating artificial intelligence directly into the architecture of next-generation connectivity systems.
Titled “6G AI-Native Networks: Architecture, Intelligence, and the Path to Autonomous Connectivity,” the paper proposes a model in which intelligence is embedded as a core element of the network rather than an add-on feature. The framework aims to contribute to global discussions on future telecom standards, including IMT-2030 and upcoming 3GPP Release 21+ specifications.
The proposed architecture introduces a dedicated AI plane operating alongside traditional network layers such as user, control, and management planes. This AI layer would enable continuous sensing, learning, and autonomous decision-making across radio, core, and edge networks.
The white paper outlines several key components for AI-native 6G, including distributed AI agents, closed-loop network autonomy, digital twin integration, and standardized interfaces to support multi-vendor and multi-domain network environments.
It also highlights five foundational pillars for AI-native 6G development: pervasive AI and machine learning frameworks, distributed cloud-edge computing infrastructure, advanced sensing technologies, open programmable network architectures, and sustainability-driven design.
The framework suggests that future 6G networks will function as cognitive infrastructure capable of predictive optimization and autonomous operations, supporting advanced applications such as immersive holographic communication and intelligent city-scale transportation systems.
The white paper also proposes measurable performance metrics for AI-native networks, including decision latency in autonomous systems, AI learning accuracy, and energy efficiency per AI inference.
Through the collaboration, e& and Khalifa University aim to strengthen the UAE’s role in global telecom research and contribute to the development of international standards for next-generation AI-driven connectivity.
