PARAMETERS ASSESSMENT FOR INDUSTRIAL 5G NETWORKS

The Fifth Generation of Mobile Networks (5G) enables ultra-reliable low-latency communication (URLLC), which is essential for industrial automation and Industry 4.0 applications. However, limited research exists on the quantitative evaluation of parameters that influence the performance of 5G architectures in industrial environments. This study investigates the influence of numerology and payload size on network latency and jitter in industrial 5G networks through simulation and graphical analysis. The simulations were conducted using the 5G-LENA module within the NS-3 simulation platform. Results show that for frequencies below 6 GHz, numerology 4 provides optimal performance in terms of latency and jitter. At millimeter-wave frequencies such as 26 GHz, both numerology 3 and numerology 4 provide acceptable performance, though numerology 4 demonstrates better suitability for time-critical applications. Additionally, packet sizes exceeding 650 bytes show improved performance when transmitted using the 26 GHz frequency band. The findings provide insights for designing and optimizing industrial 5G networks that integrate Time-Sensitive Networking (TSN). The study contributes to the development of efficient parameter configurations for reliable and low-latency industrial wireless communication systems.