Demonstrates improved network policies and energy efficiency in 5G and 6G systems, highlighting automated functions.
This article presents an AI-driven autonomous network architecture for 5G and 6G systems. The proposed closed-loop framework translates business intent into network policies using an AI/ML engine, validated through digital twin simulation. Network telemetry provides feedback for self-optimization and self-healing, reducing human intervention and improving energy efficiency in RAN, Core, Edge and Cloud domains.
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Nashaiman Tahir (2026) studied this question.
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