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Evaluating communication performance in private 5G smart factory deployments
Date
2025-06-09
Abstract
The integration of private 5G networks in Industry 4.0 presents a significant opportunity to enhance manufacturing automation, real-time machine-to-machine (M2M) communication, and industrial IoT applications. This study evaluates the throughput and latency performance of private 5G networks in smart manufacturing environments, focusing on two distinct Radio Access Network (RAN) platforms: Stock RAN and Open RAN. The experimental analysis assesses subscriber-to-subscriber and subscriber-to-data centre communication, measuring performance under varying network loads. The results highlight key trade-offs between Open RAN and Stock RAN, emphasizing the need for application-specific deployment strategies in private 5G networks. These insights contribute to ongoing research in wireless industrial networking, guiding network engineers and system integrators in optimizing private 5G deployments for smart manufacturing applications.
Supervisor
Description
Publisher
Institute of Electrical and Electronics Engineers IEEE
Citation
2025 35th Irish Signals and Systems Conference (ISSC)