Performance of Caching-Based D2D Video Distribution with Measured Popularity Distributions
Performance of Caching-Based D2D Video Distribution with Measured Popularity Distributions
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DOI：
10.1109/globecom38437.2019.9013504
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Ming-Chun Lee;Mingyue Ji;A. Molisch;Nishanth R. Sastry
中科院分区：
文献类型：
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作者：
Ming-Chun Lee;Mingyue Ji;A. Molisch;Nishanth R. Sastry
点播视频占无线数据流量的大部分。基于缓存和设备到设备（D2D）通信相结合的视频分发方案保证了视频传输的数量级更高的频谱效率，但依赖于集中需求分布的原则。本文首次基于实测的蜂窝需求分布，对这类方案的吞吐量-中断权衡进行了分析和评估。特别是，我们使用了来自英国流行的视频流媒体服务BBC iPlayer的超过1亿次请求的数据集作为分析和评估的基础。根据实际流行度分布，提出了一个可实现的标度律，并证明该标度律与文献报道的标度律相同。我们发现，对于基于实际设置的数值评估，可以实现数量级的改进。我们的结果表明，在实践中，文献中基于缓存的D2D所承诺的好处可以保留在蜂窝网络中。
On-demand video accounts for the majority of wireless data traffic. Video distribution schemes based on caching combined with device-to-device (D2D) communications promise order-of-magnitude greater spectral efficiency for video delivery, but hinge on the principle of concentrated demand distributions. This paper presents, for the first time, the analysis and evaluations of the throughput-outage tradeoff of such schemes based on measured cellular demand distributions. In particular, we use a dataset with more than 100 million requests from the BBC iPlayer, a popular video streaming service in the U.K., as the foundation of the analysis and evaluations. We present an achievable scaling law based on the practical popularity distribution, and show that such scaling law is identical to those reported in the literature. We find that also for the numerical evaluations based on a realistic setup, order-of-magnitude improvements can be achieved. Our results indicate that the benefits promised by the caching-based D2D in the literature could be retained for cellular networks in practice.