Performance Analysis of a Private 5G SA Campus Network

Konferenz: Mobilkommunikation - 26. ITG-Fachtagung
18.05.2022 - 19.05.2022 in Osnabrück

Tagungsband: ITG-Fb. 304: Mobilkommunikation – Technologien und Anwendungen

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Mallikarjun, Sachinkumar Bavikatti; Schellenberger, Christian; Schotten, Hans Dieter (Institute for Wireless Communications and Navigation University of Kaiserslautern, Germany)
Hobelsberger, Christopher

Inhalt:
5G has become a reality and there is a strong momentum in the global market as it is growing rapidly. Mobile network operators (MNOs) around the world have already upgraded parts of their networks to 5G stand-alone (SA) operation. 5G subscriptions are projected to exceed 4.39 billion by end of 2027 [1]. Private campus networks (PCN) are also being built to trial new applications that were not possible before. These networks are limited to specific areas such as company premises and optimized for different applications like autonomous driving. Applications have to be adapted to appropriately reflect changing user experiences and network speeds in order to fully exploit 5G’s potential. Measuring the performance is crucial for the assessments of the networks, as they can influence anything from investment decisions to legislative measures. Currently, the measurement technologies are not well adapted for private 5G campus networks. This paper presents the results of the performance analysis of the private 5G SA campus network deployed on the campus of the Technische Universität Kaiserslautern. The 5G SA PCN is operating in band n78 with 100 MHz bandwidth (3.7-3.8 GHz) adhering to the Release 15 3GPP standards. For the measurements, an internal speed test server and external speed test application are used to measure parameters like download and upload speeds,latency and jitter. Additionally, measurement tools from Rohde and Schwarz are used to measure signal strength parameters like RSS, SS-RSRP and SS-SINR of the different Radio Heads at the same time. The measurements are recorded in indoor and outdoor environments running different services on the internal and external server.