Evaluation Of User Side Quality Of Service Measurement Techniques For Addis Ababa Lte Data Service

Penetration of high-rate and innovative mobile data services has increased to the global mobilernindustry such as social media, video streaming, and other multimedia services. Tornaccommodate such innovative mobile data services, Long Term Evolution (LTE) mobilerntechnology is widely deployed and operational in several countries including Ethiopia wherernEthio telecom has launched LTE data service in the capital Addis Ababa on March 2015. rnTo maintain and sustain satisfactory LTE data services, LTE quality of service (QoS) needs tornbe measured and analyzed so that informed optimization and other decisions are made byrnoperators, regulators and users. Various QoS parameters of data services can be measuredrnusing different network and user side measurement techniques. Drive test is the most commonrnuser side QoS measurement method that is applied by mobile operators and recentlyrncrowdsourcing techniques, where client applications are used to measure and collect QoS datarnfrom users, are being applied. rnIn this thesis, we evaluate the performance of user side QoS measurement techniques for LTErndata services focusing on selected crowdsourcing techniques: OpenSignal and Speedtest. Wernalso present accuracy performance comparison between the crowdsourcing techniques and thernconventional drive test. The performance evaluation and comparison are performed usingrnmeasurement data that we have collected for selected ‘Tikur Anbesa’ area route of AddisrnAbaba. Detail analysis of the measurement techniques based on measured data is providedrnusing Matlab. Furthermore, to understand LTE quality perception by various actors of thernmobile industry, at the beginning of the thesis, we undertook a survey for Addis Ababa LTErnnetwork to the enterprise, end users, Internet Service Provider (ISP) and to the ISP regulatorrnMinistry of Communications and Information technology (MCIT). Results show that, there is a limited awareness to the available measurement techniques andrnthe observed LTE data service is below the expected average value, a summarized result of thernsurvey are discussed in chapter two Section 5.3.3 of this thesis work. rnTo access the quality of experience for LTE data service a downlink throughput and latencyrnkey performance indicators (KPI) are measured. Through the analysis of the measurementrntechniques: OpenSignal, SpeedTest and Nemo Handy for the KPI, we identify a significantrndifference in latency between OpenSignal and Nemo Handy; on the contrary the difference inrnlatency between SpeedTest and Nemo Handy is minimal. The downlink throughput differencernbetween OpenSignal and Nemo Handy is minimal, whereas SpeedTest and Nemo Handy hasrna major difference. We have quantified and evaluated the accuracy between the measurementrntechniques using Root Mean Square Error (RMSE) metric. The key factors affecting the resultsrnin addition to the test server location are discussed.

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