Date of Award

5-2019

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Engineering and Sciences

First Advisor

Ivica Kostanic

Second Advisor

Josko Zec

Third Advisor

Carlos E. Otero

Fourth Advisor

Maria Pozo De Fernandez

Abstract

In the past ten years, we have witnessed an increase in demand for mobile services as we have come to depend more and more on mobile phones as an indispensable part of everyday life. And not merely for making phone calls or sending text messages, but also for services such as games, mobile banking, streaming videos and making video calls. These mobile applications consume far more data than simple voice calls. Reflecting what an end user experiences when using a mobile device is an aspect that has not yet been properly catered for. The LTENetScan framework introduced a novel method for evaluating the performance of LTE network. LTENetScan seeks to locate, identify and assess the live radio frequency and associated parameters of a cellular LTE network. The desired end result is to assist the RF engineer to analyze the network and subsequently improve the mobile user’s quality of service by making appropriate adjustments. The following steps were the main structures of the LTENetScan App in phase 1. • Create the android Application • Display the serving and neighbor cells data such as RSRP, RSRQ, RSSI and PCI • Classify the LTE parameters based in their typical range as good and bad for the signal strength values • Evaluate and analyze the data of the serving cells • Record the radio frequency measurements during DT in excel sheet • Displaying the result to the end user in the form of a coverage map In phase 2, the tool was implemented and tested by the following steps. • Displaying the result to the end user in the form of a coverage map In phase 2, the tool was implemented and tested by the following steps. • Evaluate the accuracy level by comparing measurements taken by LTENetScan App with the comparable results from a radio network scanner • Evaluate the stability of the app Displaying the result to the end user in the form of a coverage map In phase 2, the tool was implemented and tested by the following steps. • Evaluate the accuracy level by comparing measurements taken by LTENetScan App with the comparable results from a radio network scanner • Evaluate the stability of the app Evaluate the accuracy level by comparing measurements taken by LTENetScan App with the comparable results from a radio network scanner • Evaluate the stability of the app The LTENetScan App achieved high correlations with the radio network scanner. This analysis aims to help RF engineers to evaluate the cellular network and to adjust them to provide a better service to their clients, as well as to represent a simple and low cost alternative to expensive professional drive-test tools and may help to make the data collection process even more productive and easier to accomplish.

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