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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Date
2021-10
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Addis Ababa University
Abstract
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.
Description
Keywords
LTE, QoE, QoS, Correlation, Subjective Measurement, Objec- tive Measurement