Savonia’s 5G Private Network’s Performance And Quality Of Service Analysis

Abstract

Safeguarding a high quality network is of paramount importance which includes measuring of the bandwidth, throughput (uplink and downlink) and network coverage. Communication Service Providers (CSPs) in telecommunication ecosystem rely on signal testing to collect data for network improvement. Network performance analysis needs to be conducted before Internet of Things (IoT) devices and others are deployed on the network in order to ascertain the latency of the network especially where there are several nodes in the network transmitting data simultaneously. The Savonia 5G private network has been completed and practically tested, but the network coverage and signal availability at some certain points of the university's 5G network coverage rooms have not been fully conducted and verified.

This thesis focused on testing the Savonia's 5G mmWave NSA Private network of the indoor radios installed at the Kampussydän and the Vesi Labra licensed with n257 and n258 frequency band. At these locations, pinpoints were taken where there were possible line of sight to the 5g radio mounted on the wall at approximately 4-4.5m above the floor level. Three 5G mmWave modules were used to connect to the 5G core network via the indoor radios which serves as a gateway for the test laptop running on Windows 11 OS connected via the CAT6 ethernet cable. A mmWave mobile phone Asus EXP21 connected via the the air interface and also served as an USB tethering device. Two open source tool, Openspeedtest and Iperf3 were locally installed on the Savonia's server and were triggered manually from the client end for the measurement alongside Window Ping tools for Round-Trip Time.

At the end, the thesis provided a crystal performance, QoS of the private network with the 5G modules and end devices also with concrete reason for this method implementation in other wireless communication technology rollouts. The comprehension and adherence to the quality of service, reliability and limititations of the network will facilitate the deployment and management of massive IoT devices and end users' turnover.