摘要
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 media streaming data traffic,users care more about their quality of experience (QoE). But in the long streaming trans- mission process of LTE network, the bandwidth is often not fully utilized, resulting in a long data downloading time, and may be accompanied by network delay,jitter,data retransmission. This disadvantage not only damages QoE, but also causes unnecessary power consumption. For user QoE analysis, a multiple framework QoE analysis model (M-QoE) is proposed. This model is consists of the ap- plication layer QoS mechanism,the network layer QoE mechanism and the subjective QoE mechanism,and can analyze user perceived QoE from multiple perspectives. Based on the M-QoE model, an energy-efficient method in LTE network transmission supporting QoE (E1-QoE) is proposed. This method takes into account the issue of QoE and energy efficiency, and determines whether to terminate the current request links according to user behavior and perceptual experience to increase the sleep time of equipment and reduce the device energy consumption. Experimental results show that E2-QoE has significant energy efficiency.
出处
《小型微型计算机系统》
CSCD
北大核心
2016年第11期2509-2513,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61363067)资助
广西自然科学基金项目(2012GXNSFAA053226)资助