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Conference Paper Video Streaming QoS Prediction based on Downlink Control Information of LTE Cell
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Authors
GyeongJune Hahm, MinHo Han, HyeYeon Kwon
Issue Date
2023-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1154-1156
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC58733.2023.10393134
Abstract
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.
KSP Keywords
5G networks, LTE Networks, QoS prediction, Quality Measurement, Short time, Video streaming service, base station, quality evaluation, quality-of-service(QoS)