UAE advances AI native vision for future 6G networks
A joint whitepaper from e& UAE and Khalifa University outlines how embedded AI could transform 6G into a predictive and self-optimising connectivity platform.
UAE operator e& (formerly Etisalat) has partnered with Khalifa University to outline a new vision for AI-native 6G networks. Their joint whitepaper presents a framework in which intelligence is embedded at the core of the network architecture rather than added as a feature.
The proposal introduces a dedicated AI plane alongside existing network layers to enable continuous learning and automation. This approach supports sensing, reasoning and autonomous decision-making across radio, core and edge systems.
The framework includes distributed AI agents, digital twin integration and closed-loop automation models. It is designed to support multi-vendor environments while enabling scalable and coordinated intelligence across networks.
Five core pillars underpin the model, including AI frameworks, cloud-edge computing and sustainability-focused design. Together, these elements position 6G as a cognitive infrastructure capable of predictive optimisation and advanced service delivery.
The whitepaper also defines measurable performance indicators such as latency, learning accuracy and energy efficiency. The initiative aims to contribute to global standards while strengthening the UAE’s role in shaping future telecom systems.
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