In modern industrial environments, the factory floor is being transformed. Automated guided vehicles (AGVs) navigate autonomously between workstations, robotic arms coordinate precise, time-critical movements, and dense sensor networks continuously monitor critical process parameters. Behind this choreography of motion and production lies an invisible yet indispensable enabler: wireless communication. As Industry 4.0 unfolds, 5G is emerging as the nervous system of smart manufacturing, promising the low-latency, high-reliability connectivity that wired infrastructure can no longer flexibly provide.
Yet this evolution exposes a fundamental challenge. A single industrial device often needs to transmit multiple types of information simultaneously – from safety-critical control signals to routine status updates – each governed by distinctly different requirements. Even 5G struggles to efficiently accommodate this heterogeneity within a single device's traffic, creating a bottleneck that constrains the potential of industrial automation.
This dissertation introduces multi-service composition (MuSeC), a novel framework enabling the concurrent transmission of multiple services with heterogeneous requirements over shared wireless resources. By rethinking how wireless signals are composed and transmitted, MuSeC enhances both reliability and efficiency – tailoring 5G into a future-proof communication system equipped with the capabilities Industry 4.0 demands.
Niklas Bulk
Industrial Wireless Communication Multi-Service Non-Orthogonal Multiple Access (NOMA) Equidistant Power Allocation QoS-Aware MCS Selection 5G / Private Cellular Networks