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Title: Predição de qualidade de experiência em redes wimax em aplicações de video baseada em aspectos de qualidade de serviço
metadata.dc.creator: OLIVEIRA, Rosinei de Sousa
metadata.dc.contributor.advisor1: COSTA, João Crisóstomo Weyl Albuquerque
Keywords: Redes neurais artificiais
Qualidade de vídeo
Issue Date: 2-Jul-2011
Publisher: Universidade Federal do Pará
Citation: OLIVEIRA, Rosinei de Sousa. Predição de qualidade de experiência em redes wimax em aplicações de video baseada em aspectos de qualidade de serviço. 2011. 59 f. Dissertação (Mestrado) - Universidade Federal do Pará, Instituto de Tecnologia, Belém, 2011. Programa de Pós-Graduação em Engenharia Elétrica.
Abstract: The increasing use of telecommunications services mainly wireless has demanded the adoption of new networking standards that offer higher data rates and reach a larger number of users. In this sense the IEEE 802.16 standard, which is based WiMAX emerges as a potential technology for providing broadband in the next generation of wireless networks, mainly because it offers Quality of Service (QoS) for voice streams natively, data and video. Regarding the video-based applications, there has been a steady growth in recent years. In 2011 it is expected that this type of content exceeds 50% of all traffic from mobile devices. Applications like video have a strong appeal to the end user who is who in fact should be the evaluator's level of perceived quality. Given this, we need new forms of performance assessment that take into account the perception of the user, thereby complementing traditional techniques that rely only on network aspects (QoS). In this sense, there was the performance evaluation based on Quality of Experience (QoE) assessment where the end user rather than the application is the main parameter measured. The results of investigations QoE can be used as an extension over the traditional methods of QoS, and at the same time provide information regarding the delivery of multimedia services from the viewpoint of the user. Examples of control mechanisms that may be included in networks that support new approaches are QoE routing process of selecting the base station and traffic conditioning. Both methods of evaluation are complementary, and if used in combination can generate a more robust assessment. However, the large amount of information hinders this combination. In this context, this paper's main objective is to create a methodology to predict video quality WiMAX networks with combined use of simulation techniques and Computational Intelligence (CI). From QoS and QoE parameters obtained from the simulations will be performed to predict the future behavior of the video with the use of Artificial Neural Networks (ANN). On the one hand the use of simulations allows a range of options such as extrapolation of scenarios to mimic the same real-world situations, the IC techniques allow faster analysis of the results so that they are made predictions of future behavior, correlations and others. In the case of this work, we chose to use RNA as it is the most used technique to predict the behavior, as is being proposed in this dissertation.
Appears in Collections:Dissertações em Engenharia Elétrica (Mestrado) - PPGEE/ITEC

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