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Betas: Deriving Quantiles from MOS-QoS Relations of IQX Models for QoE Management

机译:Betas:从IQX模型的MOS-QoS关系中获取量级QoE管理

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Most Quality of Experience (QoE) studies report only the mean opinion scores (MOS) and existing models typically map Quality of Service (QoS) parameters to the MOS. However, service providers may be interested in the share of users that are not at all satisfied, and their corresponding QoE levels. From the QoE management point of view, the circumstances leading to the QoE levels perceived by a certain percentage of users, e.g. the 10% most annoyed users, are of utmost importance. Proper metrics are the 10%-quantiles of QoE values. Knowledge of those quantiles helps service providers to estimate the need for countermeasures in order to prevent annoyed users from churning on one hand, and to avoid overprovisioning on the other hand. The contribution of this paper is the derivation of quantiles from existing MOS-QoS relations. This allows to reuse existing subjective MOS results and MOS models without rerunning the experiments. We consider exemplary the IQX model (describing the MOS-QoS relation) for the derivation of the quantile-QoS relation. A practical guideline for the computation of the quantiles is provided.
机译:大多数质量体验(QoE)研究仅报告了平均意见分数(MOS)和现有模型通常将服务质量(QoS)参数映射到MOS。然而,服务提供商可能对不满意的用户的份额以及它们相应的QoE级别感兴趣。从QoE管理的角度来看,情况导致QoE水平所感知的一定比例的用户,例如百分比。 10%最恼火的用户,至关重要。适当的指标是QoE值的10%。对这些量级的知识有助于服务提供商来估计对策的需求,以防止恼火的用户一方面搅拌,并避免另一方面过度曝光。本文的贡献是来自现有MOS-QoS关系的量级衍生。这允许重复使用现有的主观MOS结果和MOS模型,而无需重新定步实验。我们考虑示例性IQX模型(描述MOS-QoS关系),用于定位 - QoS关系的推导。提供了计算量岩的实用指南。

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