Video Streaming QoS Prediction based on Downlink Control Information of LTE Cell

Although 5G networks are becoming more active, there is still a high reliance on LTE networks at least 5G networks are operated in Non-standalone (NSA) mode. Accordingly, it is necessary to continuously monitor and evaluate the quality of service (QoS) of LTE. In general, quality measurement of an LTE network is conducted with a small number of devices during the short time. In this study, to overcome the existing quality measurement limitations, we propose a method of predicting the quality evaluation of video streaming services using downlink control information of targeted LTE base station, enhancing assessment scope and accuracy.