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2010•International Conference on Advanced Communication TechnologyRequires access

A study on a QoS/QoE correlation model for QoE evaluation on IPTV service

Hyun Jong Kim, Seong Gon Choi

Open publisher page 156 citations

Abstract

We develop a QoS/QoE correlation model for IPTV QoE evaluation. With the growth of QoE interest, IPTV providers need a method to control QoE when QoE is not satisfied by subscribers. Network providers can evaluate subscriber's QoE using QoS parameters weight and some analyzed values which is from the proposed model, and control QoE as deduce QoS parameters(delay, loss, jitter etc) associated with QoE. Through our proposed QoS/QoE correlation model, network providers can predict subscribers' QoE value in offered network environment and, on the contrary, constitute network environment which can meet an optimum QoE.

About this research paper

What this paper is about

We develop a QoS/QoE correlation model for IPTV QoE evaluation. With the growth of QoE interest, IPTV providers need a method to control QoE when QoE is not satisfied by subscribers. Network providers can evaluate subscriber's QoE using QoS parameters weight and some analyzed values which is from the proposed model, and control QoE as deduce QoS parameters(delay, loss, jitter etc) associated with QoE. Through our proposed QoS/QoE correlation model, network providers can predict subscribers' QoE value in offered network environment and, on the contrary, constitute network environment which can meet an optimum QoE.

Why it matters

OpenAlex reports 156 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We develop a QoS/QoE correlation model for IPTV QoE evaluation. With the growth of QoE interest, IPTV providers need a method to control QoE when QoE is not satisfied by subscribers. Network providers can evaluate subscriber's QoE using QoS parameters weight and some analyzed values which is from the proposed model, and control QoE as deduce QoS parameters(delay, loss, jitter etc) associated with QoE. Through our proposed QoS/QoE correlation model, network providers can predict subscribers' QoE value in offered network environment and, on the contrary, constitute network environment which can meet an optimum QoE.

Key concepts: IPTV, Quality of experience, Computer science, Quality of service, Jitter, Computer network, Service provider, Service (business)

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