Cloud-Enabled Deployment of 5G Core Network with Analytics Features

Abstract

The ongoing evolution of network softwarization is particularly evident in mobile networks. The 5G standard defines core network functions as discrete processes, facilitating seamless virtualization. The next crucial step is to enable cloud-based deployments independent of specific hardware and hypervisors. In this work, we propose a testbed designed for cloud-based 5G network deployment. Our primary objective is to create an environment conducive to experimenting with cloud-based 5G core deployments and facilitating future research in this domain. We rigorously verified the deployment’s correctness, identified key issues, and developed effective solutions to create a robust environment for emerging applications. Additionally, we introduce an innovative extension to a widely used 5G core network implementation by creating a network function that replicates the functionalities of the Network Exposure Function (NEF). This new component facilitates advanced analytics and AI-based optimization, significantly enhancing cloud-based deployments of virtualized 5G networks.

Keywords

• 5G network
• cloud-based deployments
• virtualization
• network slicing
• network analytics