Wireless networks, in the fifth-generation and beyond, must support diverse network applications which will support the numerous and demanding connections of today's and tomorrow's devices. Requirements such as high data rates, low latencies, and reliability are crucial considerations and artificial intelligence is incorporated to achieve these requirements for a large number of connected devices. Specifically, intelligent methods and frameworks for advanced analysis are employed by the 5G Core Network Data Analytics Function (NWDAF) to detect patterns and ascribe detailed action information to accommodate end users and improve network performance. To this end, the work presented in this paper incorporates a functional NWDAF into a 5G network developed using open source software. Furthermore, an analysis of the network data collected by the NWDAF and the valuable insights which can be drawn from it have been presented with detailed Network Function interactions. An example application of such insights used for intelligent network management is outlined. Finally, the expected limitations of 5G networks are discussed as motivation for the development of 6G networks.

本文中，作者将功能性的5G Core Network Data Analytics Function（NWDAF）应用于基于开源软件的5G网络，从而通过智能分析和处理方法来提供支持高数据速率，低延迟和可靠性要求的5G网络。文章提出了一种基于数据收集和分析的方法，能从收集的网络数据中获取有价值的信息。此外，作者还提出了NWDAF的用途和应用，并讨论了5G网络的一些限制和6G网络的发展前景。

5G/6G核心网络智能支持：NWDAF实现和初步分析