Estudio del handover en redes lte mediante mediciones de campo: análisis del comportamiento del handover en redes celulares lte mediante modelos de clasificación por árboles de decisión y knn.

Abstract

This work detects and studies the handover process, identifying the parameters that affect the quality of service when making a VoIP call in an LTE network. The first chapter addresses the choice of mobile tools with the ability to collect RF parameters such as transmission and reception power, identifying the stations that offer mobile telephone service in a given area in real time and GPS location. In addition, they are compatible with any mobile device known as UE (User Equipment) with a user-friendly interface for viewing data and coverage maps of the serving cell. The second chapter deals with data processing, performing a debugging, eliminating errors in data capture. In addition, to add dependent parameters such as the calculation of speed, azimuth angle, distance at which the user is with respect to the base station and the variable to be predicted, which is the handover, was integrated. On the other hand, the software to be used in the analysis is mentioned, the R programming language. In the same way, it describes what machine learning consists of and the type of techniques that this entail, finally the command lines to be used are described. for data analysis and their respective outputs. For the third chapter, the results obtained in the study from the classification models by decision tree and nearest neighbor KNN are presented.