AI-Driven Network Autonomy: Intent-Based Closed-Loop Architecture

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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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-23
DOI
https://doi.org/10.5281/zenodo.21508399
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Network Autonomy: Intent-Based Closed-Loop Architecture

Nashaiman Tahir
Zenodo (CERN European Organization for Nuclear Research)
Software-Defined Networks and 5G
article

AI-Driven Network Autonomy: Intent-Based Closed-Loop Architecture

Nashaiman Tahir
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
University of Swabi (PK), Women University Swabi
Affordable and clean energy
Openalex Percentile: Top 6%
Software-Defined Networks and 5G
DOIOpen Access PDFOpenAlex
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AI-Driven Network Autonomy: Intent-Based Closed-Loop Architecture — Nashaiman Tahir · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS