slamic Azad University, Computer Engineering Department
Abstract: (3 Views)
In the era of hyper-complex networks composed of billions of intelligent devices, cloud infrastructures, and fi(h- and sixth-generaMon
technologies, tradiMonal network management methods face crises of scalability, operaMonal complexity, and a deep gap between high-
level business objecMves and low-level technical implementaMons. This gap results in increased errors, reduced agility, and difficulMes in
guaranteeing service quality. This review paper aims to provide a comprehensive framework for the transiMon from conceptual models of
Intent-Based Networking (IBN) to producMon-level operaMonal systems, exploring the role of IBN in bridging this gap and advancing toward
autonomous networks. Based on a systemaMc review of the historical evoluMon of network management, the architecture and core
components of IBN, deployment challenges in real environments, and maturity assessment models of autonomous systems are examined.
The results demonstrate that IBN, through intent translaMon and automated decision-making, enhances agility, reduces MTTR, improves
reliability, and ensures coordinaMon across mulM-domain environments. However, challenges such as integraMon with legacy
infrastructures, security concerns, organizaMonal resistance, and lack of standardizaMon remain. Frameworks such as TM Forum ANMM and
ETSI ENI are idenMfied as key tools for assessing IBN maturity. A successful transiMon to IBN requires open architectures, distributed
intelligence, and conMnuous learning loops. In the future, autonomous networks leveraging IBN, alongside 6G, Edge CompuMng, and Digital
Twin technologies, are expected to evolve into self-aware networks. This paper concludes with pracMcal recommendaMons for researchers
and industry stakeholders to ensure a safe and phased deployment of IBN systems.