基于http的LTE服务的QoE估计仿真

Alessandro Vizzarri, F. Davide
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引用次数: 1

摘要

长期演进(LTE)使带宽消耗的HTTP应用程序成为视频流。移动网络营办商(MNO)致力保证最终用户可接受的服务质素(QoS)和体验质素(QoE)水平。运输信息与应用信息之间的关联是MNO采用的一种重要方法。如果第二个实体(如Over the Top (OTT))在内容交付过程中进行合作,则这种相关性会更有用。在科学文献中,为了将QoE与QoS关联起来,使用了不同的数学模型。本文以基于HTTP的Web服务为例,对HTTP网页浏览和HTTP视频流进行了分析。利用OPNET仿真软件工具对不同场景进行了仿真。如果服务完全由MNO管理(MNO管理类),或者OTT与自己的内容合作(OTTmanaged),它们可能会有所不同。这就是YouTube的例子。通过回归均值聚类技术对结果进行分析。
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Simulation of HTTP-based Services Over LTE for QoE Estimation
Long Term Evolution (LTE) enables bandwidth consuming HTTP applications as video streaming. Mobile Network Operator (MNO) is committed to guarantee acceptable levels of Quality of Service (QoS) and Quality of Experience (QoE) perceived by the end user. A correlation between the transport informations with the application informations is an important approach to be adopted by the MNO. This correlation is more useful if a second entity, as the Over The Top (OTT), cooperates for the content delivery process. In the scientific literature different mathematical models are used in order to correlate QoE to the QoS. This paper aims at analyse them in case of of HTTP based Web services as HTTP web browsing and HTTP video streaming. Different scenarios are simulated using OPNET simulation software tool. They can differ if the service is fully managed by the MNO (MNO-managed class) or if OTT cooperates with own content (OTTmanaged). This is the case of YouTube. Results are analysed through regression kmeans clustering techniques.
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