Network Performance Optimization with Intent‑Based Networking: A Review.

Publication Date: 19/01/2026

DOI: 10.52589/BJCNIT-ZDW0FQHA


Author(s): Emmanuel Ikhioya, Adeyemi John.
Volume/Issue: Volume 9, Issue 1 (2026)
Page No: 32-47
Journal: British Journal of Computer, Networking and Information Technology (BJCNIT)


Abstract:

Intent-Based Networking (IBN) is transforming network management by shifting from manual, device-oriented configurations to high-level, intent-driven automation. In an IBN system, network operators express high-level objectives that are automatically translated into detailed network policies and configurations through artificial intelligence (AI), natural language processing (NLP), and closed-loop control mechanisms. This paper reviews recent advances in IBN, with a focus on its architecture, automation techniques, security frameworks, and AI-driven policy generation. Moreover, we discuss intent negotiation frameworks and voice-enabled interfaces for industrial automation. By integrating these technologies with Software-Defined Networking (SDN) and Network Function Virtualization (NFV), IBN optimizes network performance by enhancing resource utilization, reducing latency, and improving overall reliability. This paper also outlines the challenges and future research directions necessary for the deployment of IBN in next-generation networks.

Keywords:

Intent-Based Networking, SDN, NFV, Artificial Intelligence, NLP, Policy Generation, Intent Negotiation, Voice-Enabled Networking, Security.

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