Correlation among Quality of Experience and Quality of Service Parameters for LTE Video Streaming Service: In Case of Addis Ababa, Ethiopia

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Addis Ababa University


The growing popularity of multimedia video streaming services, combined with the increased prevalence of smartphones, has resulted in impressive demand growth and a signi cant need for quality of service (QoS). As a result, making video streaming services available to users in a cost-e ective manner without sacri cing quality is a signi cant challenge. In Ethiopia, the sole telecom services provider, Ethio Telecom (ET), has launched several network expansion projects in recent years to provide quality services. However, there are still customer complaints from di erent parts of the city. This thesis intends to study the spatio-temporal correlation analysis among Qual- ity of Experience (QoE) and QoS parameters for LTE video streaming service and indicate measurement variations. The objective data collection has been collected using Nemo Handy, Opensignal, and Cloud are speed tests. The subjective percep- tions of video streaming users were gathered using a contextually formulated survey questionnaire via a eld experiment campaign including 300 di erent sample users who watched a single YouTube video session. This study is conducted in six di erent locations considering the application, network, and physical layer quality metrics, and we analyze the data using Statistical Package for the Social Sciences(SPSS), Actix Analyzer, and Excel. In all study locations, in particular during the evening and nighttime periods, the measured latency and jitter are not suitable for video streaming services. During these periods, the Mean Opinion Scores (MOS) are less than 3.3 and on average, a MOS result of 3.9 is obtained. According to the correlation analysis results, the highest correlation magnitude is achieved between MOS and playback with a strong positive and statistically signi cant value of (r = .746, p < .001). That is, playback is the main factor responsible for the MOS variation. The strongest correlation among application and network layer parameters is found between download throughput and playback, with values of (r =.711, p < .001). As a result, rather than latency and jitter, download throughput is the main reason for the variation of application layer quality metrics. We found weaker correlation results between network and physical layer quality metrics at Mebrathail and Jemo areas, indicating that the network layer quality matrices are in uenced by the increase in the number of users and other factors, rather than RSRP and SINR.



LTE, QoE, QoS, Correlation, Subjective Measurement, Objec- tive Measurement