z-Normalized Download and Upload throughput on UMTS Networks

Abstract

Wireless data networks as become the most efficient and reliable telecommunication services for providing internet services to most people around the globe. Over 50 billion wireless devices is expected to be connected by the end of 2020, all of which are likely going to demand access to the internet making the demand for wireless connectivity, coverage, capacity and services to continually expanding; all of which can be evaluated based on end user satisfaction. The end users demand reliable, accurate, consistent tools and methodology that help them to measure the download and upload throughput; also the operators are interested to predict the future throughput based on historical data from the past. In this research, we come up with a methodology to effectively and accurately measure the download and upload of the UMTS data network in a real wireless environment from end users point using three selected operators on the University of Ilorin main Campus. We normalized mathematically the measured value and compare the performance with the minimum value for UMTS wireless network and there after compare each operator to provide the end user with an effective decision tool in order to acquire maximum satisfaction. Based on the result we suggested an app should be develop similar to that used in the study and then the measurement period should be increased for better prediction by operators and to provide more data information for the end users to aid their decision thereby increasing their satisfaction

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Keywords

Normalized, RantCell, throughput, UMTS

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