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An AI-Driven Intent-Based Network Architecture

delete2024-01-01
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PRE
AI
Y
Yosra Njah *
A
Aris Leivadeas
M
Matthias Falkner
DOI：10.1109/MCOM.001.2400143delete
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Abstract

Abstract

En 中文
Next-generation communication systems are envisioned to offer fully autonomous networks, where infrastructure components will demonstrate self-X capabilities. The emerging paradigm of intentbased 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 (AI)-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.
Keywords:
Quality of service
Medical services
Encryption
Encoding
Bidirectional control
Routing
Firewalls (computing)
Artificial intelligence
Servers
Transformers

Journal

IEEE Communications Magazine cover
IEEE Communications Magazine
IF:
8.2
Papers:
6.9K
Citations:
2.2W

Organization

C
cisco systems inc
Scholars:
383
Papers: 354
Citations: 0
Cited Papers

Cited Papers

No cited papers available