e& UAE and Khalifa University whitepaper sets out 6G poadmap
Intelligence embedded by design, not bolted on afterwards
#UAE #telecom – UAE telecom operator e& UAE, the flagship telecom arm of global technology group e&, and Abu Dhabi-based Khalifa University have jointly published a white paper titled “6G AI-Native Networks: Architecture, Intelligence, and the Path to Autonomous Connectivity.” The paper sets out an architectural blueprint for 6G networks in which artificial intelligence is embedded as a foundational property of the network standard. The whitepaper aims to inform global standardisation processes, including the ITU’s IMT-2030 framework and future 3GPP Release 21+ specifications, positioning the UAE as an active contributor to how the world’s next generation of connectivity gets built.
SO WHAT? – Most of the world is still rolling out 5G, and yet the telecom industry is entering a critical period for the new 6G era. Experts agree that the architectural decisions being made now will determine what 6G looks like when it arrives later this decade. e& UAE and Khalifa University hope that by publishing a structured technical framework with measurable performance metrics and open standards interfaces, they can both hope move 6G standards development forwards and earn a seat at the table for the global standards process.
Here are some key points regarding this whitepaper:
e& UAE and Khalifa University have jointly published a white paper defining an AI-native architecture for 6G networks, in which intelligence is built into the network’s core design rather than layered on top, a fundamental departure from how AI has been used in previous network generations.
The blueprint introduces a dedicated AI-plane sitting alongside the traditional user, control and management planes of a network. This new layer enables continuous sensing, learning, reasoning and autonomous decision-making across radio, core and edge domains simultaneously.
The white paper is explicitly designed to contribute to global standardisation, targeting the ITU’s IMT-2030 framework — the international specification process for 6G — and future 3GPP Release 21+ standards, the technical body responsible for defining how mobile networks are built worldwide.
Five enabling pillars underpin the architecture:
pervasive AI and machine learning frameworks;
distributed cloud-edge computing;
advanced technologies including integrated sensing;
open programmable architectures; and
sustainability-driven design focused on energy efficiency.
The framework introduces measurable AI-native key performance indicators, including decision latency for closed-loop autonomy, learning accuracy and energy efficiency per AI inference, giving standardisation bodies concrete metrics to work with rather than conceptual targets.
Digital twin integration forms a significant part of the architecture, allowing networks to model and simulate their own behaviour in real time, supporting predictive optimisation and faster autonomous responses to changing conditions.
The white paper outlines transformative applications that AI-native 6G could support, ranging from fully immersive holographic and augmented reality experiences with haptic feedback, to city-scale intelligent transportation systems and industrial automation environments.
The collaboration between e& UAE and Khalifa University aims to combine the operator’s real-world network experience with university-led research to produce frameworks that are both technically rigorous and practically deployable.
[Written and edited with the assistance of AI]
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