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 da...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.展开更多
5G移动网络从2019年正式商用至今,在全国发展超9亿用户,占国内移动网络用户的51.3%。随着业务高速发展,带来的是5G移动通信业务的多样性和通信场景的复杂性,当前5G网络并没有足够的智能化能力支撑差异化通信业务以及复杂通信场景资源调...5G移动网络从2019年正式商用至今,在全国发展超9亿用户,占国内移动网络用户的51.3%。随着业务高速发展,带来的是5G移动通信业务的多样性和通信场景的复杂性,当前5G网络并没有足够的智能化能力支撑差异化通信业务以及复杂通信场景资源调度的需求。第三代合作伙伴计划(3rd generation partnership project,3G P P)拟将A I引入5G网络中,从而保证网络服务质量、优化网络功能和增强网络自动化运维能力。网络数据分析功能(network data analytics function,NWDAF)作为5G核心网络的架构之一,可向网络提供数据分析服务,为网络自动化和智能化提供基础技术支撑。本文将详细阐述NWDAF技术的增强演进、技术原理,以及AI技术如何赋能未来业务和服务场景,为5GC在未来更好地满足用户需求,提升运营商业务水平和服务质量提供有效参考。展开更多
基金supported by the National Key Research and Development Program of China under Grant No.2023YFE0200700National Natural Science Foundation of China under Grant No.62171474ZTE Industry University-Institute Cooperation Funds under Grant No.IA20241014013。
文摘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.
文摘5G移动网络从2019年正式商用至今,在全国发展超9亿用户,占国内移动网络用户的51.3%。随着业务高速发展,带来的是5G移动通信业务的多样性和通信场景的复杂性,当前5G网络并没有足够的智能化能力支撑差异化通信业务以及复杂通信场景资源调度的需求。第三代合作伙伴计划(3rd generation partnership project,3G P P)拟将A I引入5G网络中,从而保证网络服务质量、优化网络功能和增强网络自动化运维能力。网络数据分析功能(network data analytics function,NWDAF)作为5G核心网络的架构之一,可向网络提供数据分析服务,为网络自动化和智能化提供基础技术支撑。本文将详细阐述NWDAF技术的增强演进、技术原理,以及AI技术如何赋能未来业务和服务场景,为5GC在未来更好地满足用户需求,提升运营商业务水平和服务质量提供有效参考。
