A new proposal to provide estimation of QoS and QoE over WiMAX networks: An approach based on computational intelligence and discrete-event simulation

Author

Machado, Victor A. ; Silva, Carlos N. ; Oliveira, Rosinei S. ; Melo, Alexandre M. ; Silva, Marcelino ; Francês, Carlos R L ; Costa, João C W A ; Vijaykumar, Nandamudi L. ; Hirata, Celso M.

Author_Institution

Fed. Univ. of Para (UFPA), Belem, Brazil

fYear

2011

fDate

24-26 Oct. 2011

Firstpage

1

Lastpage

6

Abstract

This paper presents an estimation of Quality of Experience (QoE) metrics based on Quality of Service (QoS) metrics in WiMAX networks. Applications used to generate such estimations were EvalVid and Network Simulator 2 (NS-2). The QoE was estimated by employing a Multilayer Artificial Neural Network by means of the WEKA tool. The results show a very efficient estimation of metrics of QoE parameters with respect to QoS parameters.

Keywords

WiMax; neural nets; quality of service; EvalVid; Network Simulator 2; QoE; QoS; WEKA tool; WiMAX networks; computational intelligence; discrete-event simulation; multilayer artificial neural network; quality of experience; quality of service; Measurement; Multimedia communication; Predictive models; Quality of service; Real time systems; Streaming media; Training; QoE; QoS; WiMAX; prediction; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (LATINCOM), 2011 IEEE Latin-American Conference on

Conference_Location

Belem do Para

Print_ISBN

978-1-4673-0277-7

Type

conf

DOI

10.1109/LatinCOM.2011.6107419

Filename

6107419