DocumentCode :
1614615
Title :
QoS-QoE correlation neural network modeling for mobile internet services
Author :
Rivera, Sebastian ; Riveros, Horacio ; Ariza-Porras, Christian ; Lozano-Garzon, Carlos ; Donoso, Yezid
Author_Institution :
Computing and System Engineering Department Universidad de los Andes, Bogotá, Colombia
fYear :
2013
Firstpage :
75
Lastpage :
80
Abstract :
The user´s loyalty is a key component to be considered by the mobile telecommunication operator into a highly competitive environment with a continuous growth of mobile internet services. For this reason, we propose a methodology to support the network performance decision to provide mobile internet services based in the users perception. The correlation between the Quality of Service parameters and the Quality of Experience is the base of this methodology; we use two different neural network models to obtain the final correlation model. The model is proved gathering information of five different cells using a 3G modem and a 3G mobile phone (Android OS). In this work we are validating the model obtained only with gathering network performance parameters.
Keywords :
Androids; Correlation; Humanoid robots; Mobile communication; Mobile computing; Neural networks; Quality of service; Decision making tool; Mobile internet services; Network performance; Neural networks; Quality of experience; Quality of service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Management and Telecommunications (ComManTel), 2013 International Conference on
Conference_Location :
Ho Chi Minh City, Vietnam
Print_ISBN :
978-1-4673-2087-0
Type :
conf
DOI :
10.1109/ComManTel.2013.6482369
Filename :
6482369
Link To Document :
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