Chapter 1
Introduction
1.1 Communication Networks in Industry 4.0 
1.2 Structure and Publication Overview 
Chapter 2
Industry 4.0 Use Cases Enabled Through Communication Networks
2.1 Single Remote Controlled Robot in a Small Enterprise
2.1.1 Cost-Efficient Automation Strategies for Pick and Place Operations
2.1.2 Demonstrator Utilizing Local Devices with Edge Cloud Processing 
2.1.3 Insights Learned from the Implementation and Presentation
2.2 High Latency in Remote Robot Control via a Web Interface 
2.2.1 Long-Distance Remote Control Utilizing the Public Internet
2.2.2 A Simple Game with Increasing Difficulty Through Latency 
2.2.3 Insights Learned from the Implementation and Presentation
2.3 Achieving Negative Latency Through Artificial Intelligence 
2.3.1 Latency Challenges in Long-Distance Robot Control 
2.3.2 Advancements Derived from the CMIYC Demonstrator 
2.3.3 Deep Neuronal Network for User Input Prediction
2.3.4 Insights Learned in an User Trials
2.4 Densely Packed Remote Controlled Cyber-Physical Systems 
2.4.1 Enhancing Efficiency by Requiring Less Safety Area
2.4.2 Implementation of the Remote Robot Control System
2.4.3 Proof of Concept: Developing a Multi-Robot Demonstrator
2.4.4 Applications Enabled by Remote Controlled Densely Packed Robots
2.4.5 Insights Learned from the Implementation and Presentation
2.5 Summary of Presented Use Cases And Their Required Network Requirements
Chapter 3
Wireless Mesh Networks in Industry 4.0
3.1 Fully Decentralized Organized Wireless Mesh Networks 
3.1.1 Overview of Opportunistic Routing Protocols 
3.1.2 Development of a System Model for Simulations 
3.1.3 Functional Demonstration in Two Illustrative Networks 
3.1.4 Routing Behavior Across 1,000 Randomly Generated Networks 
3.1.5 Conclusion from the Simulative Comparison 
3.2 Wireless Mesh Network with Dynamic Central Leadership
3.2.1 OpenThread Protocol and Setup of our Over-the-Air Testbed
3.2.2 Empirical OpenThread Measurements Under Varying Interference 
3.3 Summary of the Empirical Analysis of Wireless Mesh Networks 
Chapter 4
5G Non-Public Network to Enable Industry 4.0
4.1 Background on 5G Non-Public Networks 
4.1.1 User Equipment in the Context of Industrial Integration 
4.1.2 Core Network Virtualization: From Closed- to Open-Source 
4.1.3 Architectural Approaches to Radio Access Network Deployment 
4.2 Custom 5G NPN Aligning with Industry Requirements and Budgets 
4.2.1 Delineation of Private 5G to WLAN 
4.2.2 Custom Deployment options for 5G Non-Public Networks 
4.3 Measurement Setup for Benchmarking 5G Non-Public Networks 
4.3.1 Initial Testbed Configuration, Ericsson Industry Connect
4.3.2 Analysis of different Software Packet Generators 
4.3.3 Verification of Testbed Capabilities 
4.3.4 Initial Empirical Analysis of a Carrier-Grade 5G Non-Public Network 
4.3.5 Insights Learned from the Initial Testbed Trials 
4.4 Measurements with Multiple Users across Three Radio Access Networks 
4.4.1 Development of the Evolved Testbed Configuration 
4.4.2 Measurement Procedure 
4.4.3 Empirical Analysis Utilizing a Single User Equipment 
4.4.4 Empirical Analysis Utilizing Five concurring User Equipments 
4.4.5 Positioning within the Context of Related Work 
4.5 Summary of the Empirical Evaluation on Custom 5G 
Chapter 5
Conclusion
5.1 Main Contribution 
5.2 Future Work 
Publications
Bibliography