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.
Authors
- Aris Leivadeas (ORCID: https://orcid.org/0000-0002-2996-6824)
- Yosra Njah (ORCID: https://orcid.org/0000-0002-5790-1008)
- Matthias Falkner (ORCID: https://orcid.org/0000-0002-4920-873X)
Institutions
- Cisco Systems (Canada) (CA)
- École de Technologie Supérieure (CA)
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