While global markets are still actively deploying 5G infrastructure, the race to define the architecture of the next decade’s connectivity standard is already underway. e& UAE, the flagship telecom arm of the global technology group e&, and Abu Dhabi-based Khalifa University have released a comprehensive technical framework mapping out the transition to 6G.
Titled “6G AI-Native Networks: Architecture, Intelligence, and the Path to Autonomous Connectivity,” the joint whitepaper proposes a network design built fundamentally around artificial intelligence, positioning the UAE as a critical contributor to how the world’s next generation of connectivity will operate.
Quick Facts
- AI embedded directly into 6G network core architecture.
- Framework targets ITU IMT-2030 and 3GPP Release 21+ standards.
- Introduces dedicated AI-plane for autonomous network decision-making.
Designing an AI-Native Telecom Architecture
Historically, telecom operators have treated artificial intelligence as an overlay—a tool applied on top of existing network infrastructure to optimize specific functions. The blueprint introduced by e& UAE and Khalifa University outlines a fundamental departure from this approach, defining an architecture where intelligence is a foundational property of the network standard itself.
The core of this framework is the introduction of a dedicated “AI-plane.” This new architectural layer operates alongside the traditional user, control, and management planes of a telecom network.
By integrating this AI-plane natively, the network gains the ability to execute continuous sensing, learning, reasoning, and autonomous decision-making simultaneously across radio, core, and edge domains.
The architecture also heavily features digital twin integration. This allows networks to model and simulate their own behavior in real time, supporting predictive optimization and enabling faster autonomous responses to fluctuating network conditions.
Establishing Global 6G Standards from the Middle East
The telecom industry is entering a critical window where foundational technical decisions will dictate the reality of 6G when commercial rollouts begin later this decade.
By publishing a structured technical framework, e& UAE and Khalifa University aim to actively inform and shape global standard processes, securing a seat at the table for the Middle East in the development of next-generation telecom infrastructure.
The whitepaper is explicitly targeted at the ITU’s IMT-2030 framework—the international specification process for 6G—and future 3GPP Release 21+ standards, which serve as the technical body responsible for defining worldwide mobile network construction.
To provide standardization bodies with concrete data rather than conceptual targets, the UAE-based research introduces measurable AI-native key performance indicators. These metrics include decision latency for closed-loop autonomy, learning accuracy, and energy efficiency per AI inference.
Core Pillars and Future Network Applications
The transition to an AI-native 6G infrastructure is built upon five enabling technical pillars. These include pervasive AI and machine learning frameworks, distributed cloud-edge computing, advanced integrated sensing technologies, open programmable architectures, and a strict focus on sustainability-driven design for optimal energy efficiency.
These foundational changes will unlock a new class of enterprise and consumer applications.
According to the whitepaper, the autonomous connectivity of 6G will support fully immersive holographic and augmented reality experiences complete with haptic feedback. On a larger scale, the ultra-low latency and high computational power of the network will enable city-scale intelligent transportation systems and advanced industrial automation environments.
About e& UAE and Khalifa University
e& UAE is the flagship telecom operating arm of e&, a global technology group headquartered in the United Arab Emirates. Khalifa University is a top-ranked research institution based in Abu Dhabi. The collaboration aims to merge the operator’s real-world commercial network experience with university-led technical research to produce deployable, rigorous connectivity frameworks.
Source: Middle East AI News
