Intent-Based Network Management in 6G Core Networks
Patrick Lingga, Jeonghyeon Joshua Kim, Jaehoon Jeong
Abstract
Supporting network intelligence is one of the main goals of 6G core networks. Network intelligence can provide a self-driving network that optimizes and adjusts itself with the least amount of human interaction. Intent-Based Networking (IBN) is an approach that can be combined with 6G core networks to provide automation. The IBN concept provides a closed-loop control architecture that is able to adapt to the status of the network by monitoring data from network functions. Network Data Analytics Function (NWDAF) is proposed by the 3rd Generation Partnership Project (3GPP) to collect monitoring data from multiple network functions. This paper proposes an architecture that combines the NWDAF with the IBN concept to merge it with Artificial Intelligence (AI) and Machine Learning (ML) to analyze the monitoring data. The proposed scheme creates a system that will be able to provide automatic verification and optimization for the 6G core networks.