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    Home » AI-Native 6G Networks White Paper by e& UAE and Khalifa University
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    AI-Native 6G Networks White Paper by e& UAE and Khalifa University

    Art RyanBy Art RyanMarch 18, 2026Updated:April 24, 2026No Comments3 Mins Read
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    Key Takeaways

    • e& UAE and Khalifa University released a white paper on AI-native 6G networks, focusing on integrating AI into telecom infrastructure.
    • The new architecture features an ‘AI plane’ for real-time data processing and automated decision-making within network functions.
    • The paper emphasizes standards and global alignment for AI-native 6G networks to ensure compatibility with future telecom requirements.
    • AI-native 6G networks aim for autonomous operations, reducing the need for human control and optimizing resource allocation dynamically.
    • This initiative represents a significant evolution in telecom design, with intelligence embedded at every layer of the network system.

    e& UAE and Khalifa University introduced a white paper on AI-native 6G networks. The document focuses on integrating artificial intelligence into future telecom systems. It defines how AI-native 6G networks will operate as intelligent and autonomous infrastructures. The paper presents a structured approach to embedding AI into network design from the start.


    Architecture and Design of AI-Native 6G Networks

    The white paper describes a new architecture for AI-native 6G networks. It introduces an “AI plane” as a core layer within the system. This layer manages intelligence across all network functions. It processes data in real time and enables automated decisions.

    The design supports closed-loop automation. Networks continuously monitor their own performance. They adjust operations without manual input. This improves efficiency and reduces response time.

    The framework also defines AI performance metrics. These indicators measure how intelligence operates within the network. They ensure consistent evaluation of AI capabilities.


    Standards and Global Alignment for AI-Native 6G Networks

    The document proposes open interfaces for AI-native 6G networks. These interfaces aim to align with global telecom standards. The framework supports future IMT-2030 requirements and 3GPP developments.

    The paper highlights the role of e& UAE in global standardization. The company contributes to shaping international 6G frameworks. Khalifa University provides research support in AI and network systems.

    The collaboration combines academic research with industry deployment knowledge. This approach supports the development of scalable and interoperable systems.


    Autonomous Operations in AI-Native 6G Networks

    AI-native 6G networks are designed to function with minimal human control. The system enables autonomous decision-making across operations. Networks can optimize resources and respond to changes instantly.

    The paper outlines requirements for future connectivity. These include advanced wireless technologies and full AI lifecycle management. Intelligence becomes a built-in function rather than an external addition.

    The initiative supports ongoing development of next-generation networks in the UAE. It builds on earlier work in 5G and 6G research programs.

    The white paper positions AI-native 6G networks as a shift in telecom design. Intelligence is integrated into every layer of the system. This enables continuous adaptation and improved network performance.

    Source: https://www.middleeastainews.com/p/e-and-uae-and-khalifa-university

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    Art Ryan

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