Modeling End-to-End Latency in Private 5G Networks

Abstract

Industry 4.0, known as a new industrial generation, is the key to creating more productive, sustainable, and integrated industrial systems. It also enables companies in various sectors, such as logistics and manufacturing, to improve productivity, efficiency, usability, and optimization in the production processes carried out within their factory premises. In Industry 4.0 use cases, there are stringent requirements, such as high-accuracy positioning, low latency, and reliability. Therefore, applying 5G technology plays a critical role in meeting these criteria for enterprise private network solutions. In this context, the thesis offers an overview of the private 5G networks and their deployment options. The thesis also discusses how each option works. Furthermore, the thesis evaluates the feasibility, the pros, and the cons of each option based on various parameters, such as technological or business aspects. In addition, the thesis simulates the mobile robot use case as a typical example to demonstrate the advantages of a private 5G network via the considered architectures. The thesis models and compares the latency between the discussed architectures based on the various distances to the core network. Finally, the thesis outcomes offer various deployment options for private 5G networks to be suitable for the needs of enterprises.