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对于流媒体数据业务,用户会更多的考虑其体验质量(QoE).由于LTE网络的利用率较低,在长流传输过程中带宽通常得不到充分利用,造成数据下载时间延长,并可能伴随有网络延时、抖动、数据重传的问题.这种不利因素不仅有损QoE,也造成设备不必要的能耗.针对用户QoE的分析,提出一个基于多层框架的QoE分析模型(M-QoE),它由应用层的QoS机制、网络层的QoE机制和主观QoE机制组成,从多个层面量化分析QoE的影响因素.基于M-QoE模型,提出一种基于QoE的LET传输节能方法,该方法综合考虑了QoE和能效的问题,根据用户行为习惯和感知体验来断定是否终止当前的请求链接,以此增加设备的休眠时间,降低设备的耗能.实验结果表明,E~2-QoE方法具有明显的节能效果.
For streaming media data services, users will be more concerned about their Quality of Experience (QoE), because of the low utilization of LTE networks, bandwidth is often underutilized during long-stream transmission, resulting in longer data download times and possibly With the problems of network delay, jitter and data retransmission.This disadvantage not only detracts from QoE, but also causes unnecessary energy consumption of the device.According to the analysis of user QoE, a multi-layer framework based QoE analysis model (M -QoE), which consists of the QoS mechanism at the application layer, the QoE mechanism at the network layer, and the subjective QoE mechanism to quantify and analyze the influencing factors of QoE from multiple aspects.On the basis of M-QoE model, a QoE-based LET transmission energy-saving method , Which takes into account the QoE and energy efficiency issues and decides whether to terminate the current request link according to user behavior and perception experience to increase the sleeping time of the device and reduce the energy consumption of the device.Experimental results show that E ~ 2- QoE method has obvious energy saving effect.