Evaluation Of 4g Lte User Side Data Qos Measurement Tools The Case Of Addis Ababa Ethiopia

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Measuring Quality of Service (QoS) for a specific mobile network system may be performed by a network operator, Internet service provider, or governmental regulator based on their objectives. Since telecom stakeholders may not use similar measurement methods and tools, their measured values for the selected parameters may not yet be the same. As a result, there is disagreement among stakeholders regarding the benchmark and evaluations. The service coverage and the QoS are critically important for a successful operator business. So, mobile operators should continuously monitor their network performance and undertake optimization and expansion operations on a need basis. The techniques and tools for measuring QoS should be evaluated.The area of study proposed in the thesis is the evaluation of 4G Long Term Evolution (LTE) mobile network system data QoS measurement factors and tools. QoS measurement tools and factors are evaluated based on the selected parameters' reference value.rnThe thesis evaluates and analyzes the data QoS mobile network measurement tools and factors in the context of Addis Ababa, Ethiopia, using the most relevant throughput and latency performance metrics on Ethio telecom's 4G LTE mobile network. Evaluation of static download speed, upload speed, and latency measurements using Ookla Speedtest, RTR-NetTest, and Nemo Handy-A are conducted using Mean Absolute Percentage Error (MAPE). The achieved evaluated results of download speed measured by the Ookla Speedtest, RTR-NetTest, and Nemo Handy-A to the reference value, 35 Mbps, are 57.35%, 84.22%, and 47.54%, respectively. The evaluated results of upload speed measured by Ookla Speedtest, RTR-NetTest, and Nemo Handy-A to the reference value, 32 Mbps, are 30.42%, 56.47%, and 25.27% correspondingly. The achieved evaluated results of latency measured by the Ookla Speedtest, RTR-NetTest, and Nemo Handy-A to the reference value, 27msec, are 42.06%, 493.56%, and 13.66% respectively. The main reasons for the difference in errors are server location, bottleneck, and parameter estimation methods of the measurement tools.

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Evaluation Of 4g Lte User Side Data Qos Measurement Tools The Case Of Addis Ababa Ethiopia

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