Thanks to the availability of mobile devices and the spread of broadband access around the world, the number
of network users continues to grow. This has raised user awareness when it comes to the quality of content
they consume. Many service providers and operators focus on monitoring QoN (Quality of Network) and QoS
(Quality of Service) parameters, particularly those influenced by bandwidth and latency. However, for most
end-users, quality is understood as the subjective QoE (Quality of Experience), a mixture of several individual
factors. This paper presents a QoN evaluation, carried out under real-time operating conditions at a university
campus, considering the overall performance of the cellular network. The study involved 50 mobile devices,
i.e., smartphones, used by students during their typical activity throughout a week. The results were gathered
on the eve of 5G, using a custom-built Android application. This application enabled the acquisition of valuable
data about the wireless link, including download and upload speed, latency (pink), the ID of the serving base
station, and type of cellular connection. This approach can be used to detect the strengths and weaknesses of
back-end networks.