An AI-Driven Intent-Based Network Architecture

Next-generation communication systems are envisioned to offer fully autonomous networks, where infrastructure components will demonstrate self-X capabilities. The emerging paradigm of intent-based networking (IBN) facilitates autonomous operations and user-friendly management, eliminating the need for continuous human intervention. This article offers a comprehensive overview of the IBN paradigm, its core technologies, and its transformative impact on network resilience and efficiency, proposing an end-to-end artificial intelligence (All-powered IBN architecture (IBNA). The article initially explores the main components of an IBNA, which encompasses structured iterations of refinement, activation, and assurance. Then, it presents network softwarization and AI-powered schemes for each component. Finally, it consolidates all the proposed schemes into one comprehensive pipeline, demonstrating the feasibility of a full IBNA implementation.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-11-04
DOI
https://doi.org/10.1109/mcom.001.2400143
Citations
10
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
3.49
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article

An AI-Driven Intent-Based Network Architecture

Aris Leivadeas, Yosra Njah, Matthias Falkner
10 citations
IEEE Communications Magazine
Software-Defined Networks and 5G
3.49
article

An AI-Driven Intent-Based Network Architecture

Aris Leivadeas, Yosra Njah, Matthias Falkner
article en
10 citations

Abstract

Next-generation communication systems are envisioned to offer fully autonomous networks, where infrastructure components will demonstrate self-X capabilities. The emerging paradigm of intent-based networking (IBN) facilitates autonomous operations and user-friendly management, eliminating the need for continuous human intervention. This article offers a comprehensive overview of the IBN paradigm, its core technologies, and its transformative impact on network resilience and efficiency, proposing an end-to-end artificial intelligence (All-powered IBN architecture (IBNA). The article initially explores the main components of an IBNA, which encompasses structured iterations of refinement, activation, and assurance. Then, it presents network softwarization and AI-powered schemes for each component. Finally, it consolidates all the proposed schemes into one comprehensive pipeline, demonstrating the feasibility of a full IBNA implementation.

IEEE Communications MagazineVol. 63(4)
Cisco Systems (Canada) (CA), École de Technologie Supérieure (CA)
Openalex Percentile: Top 7%
Software-Defined Networks and 5G
3.49
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