A new proposal to provide estimation of QoS and QoE over WiMAX networks: An approach based on computational intelligence and discrete-event simulation
Victor A. Machado, Carlos Natalino, R. S. Oliveira, Adalberto Melo, Marcelino Silva, Carlos Renato Lisboa Francês, João C. W. A. Costa, Nandamudi Lankalapalli Vijaykumar, Celso Massaki Hirata · 2011
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.