NWDAF网络数据分析功能的标准演进

The Standard Evolution of NWDAF Network Data Analysis Function

随着5G业务形态呈现多样化,核心网需要融合人工智能技术,提升网络数据分析能力以满足复杂的业务需求。NWDAF作为5G核心网络架构的一部分,可以向网络提供数据分析服务,为实现网络的自动化和智能化提供重要的技术基础,它的功能在不断地被增强和完善,但在研究和实际应用时也会面临诸多挑战。聚焦国际标准化组织对NWDAF的研究内容,首先介绍了NWDAF核心技术在国际标准化组织中的研究进展,指出了在3GPP各个标准版本中NWDAF网络分析架构和网络分析能力增强的具体内容;然后分析了NWDAF核心技术未来演进的挑战和方向,指出了NWDAF在实际应用时所面临的实时性、安全性、可靠性以及准确性要求高等挑战,同时针对相关挑战展望了NWDAF技术的发展方向,包括研究可信的分布式AI技术以及跨平台AI模型共享技术等。

With the diversification of 5G business forms,it is necessary for the core network to integrate artificial intelligence technology and improve the network data analysis ability to meet the complex business requirements.As a component of 5G core network architecture,NWDAF can provide data analysis services to the network,and provide an important technical foundation for realizing network automation and intelligence.Although the functionality is constantly enhanced and improved,NWDAF will face many challenges in the research and practical application.This paper focuses on the research content of the International Organization for Standardization on NWDAF.Firstly,the research progress of the International Organization for Standardization on NWDAF core technology is introduced,and the specific content of the NWDAF network analysis architecture and network analysis capability enhancement in each 3GPP standard version is pointed out.Next,this paper summarizes the future challenges and directions of NWDAF core technology,and analyzes the challenges faced by NWDAF in practical application,which require high requirements for real-time,security,reliability and accuracy.Finally,the development direction of NWDAF technology is prospected for related challenges,including the research of trusted distributed AI technology and cross-platform AI model sharing technology.