Knowledge-based Intent Modeling for Next Generation Cellular Networks

TL;DR

This paper introduces a knowledge graph-based approach for modeling and processing intents in next-generation cellular networks, enhancing the representation of consumer expectations and system data handling.

Contribution

It proposes a novel knowledge-based intent modeling methodology that extends existing standards for improved network service management.

Findings

Validated approach for next-generation cellular services

Enhanced intent representation using knowledge graphs

Demonstrated potential for improved network management

Abstract

Intent-based networking (IBN) facilitates the representation of consumer expectations in a declarative and domain-independent form. However, mapping intents to service and resource models remains an open challenge. IBN requires handling existing system data in a structured yet flexible structure way. Knowledge graphs provide an efficient conceptual framework for constructing contexts and organizing known information. We utilize knowledge graphs to construct a knowledge-based for modeling of intents in the networking domain. In addition, this work also proposes a knowledge-based intent modeling and processing methodology, extending the standardized intent common model proposed by TM Forum for next-generation cellular networks and services. The proposed knowledge-based IBN approach is demonstrated for next-generation cellular services, validating its potential.