Trade-offs for video-providers in LTE networks: Smartphone energy consumption vs wasted traffic

Trade-offs for video-providers in LTE networks: Smartphone energy consumption vs wasted traffic
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LTE 网络中视频提供商的权衡:智能手机能耗与流量浪费

DOI:
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发表时间:
2013
期刊:
2013 22nd ITC Specialist Seminar on Energy Efficient and Green Networking (SSEEGN)
影响因子:
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通讯作者:
J. M. Giménez
J. M. Giménez
中科院分区:
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文献类型:
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作者:
Christian Schwartz;Marc Scheib;T. Hossfeld;P. Tran;J. M. Giménez

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长期演进(LTE)网络向移动的用户提供宽带互联网接入。LTE的主要用例之一是移动的视频。在选择视频传输机制时,视频提供商必须考虑不同的正交度量。消费者期望在下载和回放期间获得高视频体验质量(QoE)和低能耗。视频提供商感兴趣的是最小化其资源和相应的成本,如带宽和浪费的流量。如果用户中止并且附加视频数据已经下载但未播放,则会发生浪费的流量,从而不必要地消耗资源。这提出了以下问题:1)视频提供商如何在降低运营成本和满足客户需求的同时提供视频内容; 2)客户中止行为的影响是什么。为了回答这些问题,我们首先研究了机制选择对能源消耗和浪费的流量的影响。其次,我们发现,不同的用户模型不会影响浪费的流量显着。最后,我们提供的流媒体机制,这是为了更好地满足视频提供商的要求,以及客户的参数选择准则,实现帕累托最优的结果,智能手机的能源消耗和浪费的流量。
Long Term Evolution (LTE) networks provide broadband Internet access to mobile users. One of the main use cases for LTE is a mobile video. When selecting a video transmission mechanism, a video provider has to consider different and orthogonal metrics. The consumer expects a high video Quality of Experience (QoE) and a low energy consumption during download and playback. The video provider is interested in minimizing its resources and corresponding costs, like bandwidth and wasted traffic. Wasted traffic occurs if a user aborts and additional video data is already downloaded but not played out, consuming resources unnecessarily. This raises the questions 1) how a video provider delivers the video contents while reducing the operational costs and satisfying the customers demands 2) what is the influence of the customer abort behaviour. To answer these questions, we first study the influence of mechanism selection on energy consumption and wasted traffic. Second, we show that the different user models do not influence the wasted traffic significantly. Finally, we provide parameter selection guidelines for the Streaming mechanism, which are shown to satisfy better both the requirements of the video provider as well as those of the customer, to achieve Pareto optimal results with regard to the smartphone energy consumption and wasted traffic.