Exploration of NWDAF Development Architecture for 6G AI-Native Networks  

作　　者：HE Shiwen PENG Shilin DONG Haolei WANG Liangpeng AN Zhenyu 

机构地区：[1]School of Computer Science and Engineering,Central South University,Changsha 410083,China [2]Purple Mountain Laboratories,Nanjing 210096,China

出　　处：《ZTE Communications》2025年第1期45-52,共8页中兴通讯技术(英文版)

基　　金：supported by the National Key Research and Development Program of China under Grant No.2023YFE0200700;National Natural Science Foundation of China under Grant No.62171474;ZTE Industry University-Institute Cooperation Funds under Grant No.IA20241014013。

摘　　要：Artificial intelligence(AI)-native communication is considered one of the key technologies for the development of 6G mobile communication networks.This paper investigates the architecture for developing the network data analytics function(NWDAF)in 6G AI-native networks.The architecture integrates two key components:data collection and management,and model training and management.It achieves real-time data collection and management,establishing a complete workflow encompassing AI model training,deployment,and intelligent decision-making.The architecture workflow is evaluated through a vertical scaling use case by constructing an AI-native network testbed on Kubernetes.Within this proposed NWDAF,several machine learning(ML)models are trained to make vertical scaling decisions for user plane function(UPF)instances based on data collected from various network functions(NFs).These decisions are executed through the Ku-bernetes API,which dynamically allocates appropriate resources to UPF instances.The experimental results show that all implemented models demonstrate satisfactory predictive capabilities.Moreover,compared with the threshold-based method in Kubernetes,all models show a significant advantage in response time.This study not only introduces a novel AI-native NWDAF architecture but also demonstrates the potential of AI models to significantly improve network management and resource scaling in 6G networks.

关 键 词：6G AI-native NWDAF UPF scaling 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]