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Competitive Caching of Contents in 5G Edge Cloud Networks

机译:5G Edge云网络内容的竞争缓存

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摘要

The surge of mobile data traffic forces network operators to cope withcapacity shortage. The deployment of small cells in 5G networks is meant toreduce latency, backhaul traffic and increase radio access capacity. In thiscontext, mobile edge computing technology will be used to manage dedicatedcache space in the radio access network. Thus, mobile network operators will beable to provision OTT content providers with new caching services to enhancethe quality of experience of their customers on the move. In turn, the cachememory in the mobile edge network will become a shared resource. Hence, westudy a competitive caching scheme where contents are stored at given price setby the mobile network operator. We first formulate a resource allocationproblem for a tagged content provider seeking to minimize the expected missedcache rate. The optimal caching policy is derived accounting for popularity andavailability of contents, the spatial distribution of small cells, and thecaching strategies of competing content providers. It is showed to induce aspecific order on contents to be cached based on their popularity andavailability. Next, we study a game among content providers in the form of ageneralized Kelly mechanism with bounded strategy sets and heterogeneousplayers. Existence and uniqueness of the Nash equilibrium are proved. Finally,extensive numerical results validate and characterize the performance of themodel.
机译:移动数据流量的激增迫使网络运营商应对容量不足的问题。在5G网络中部署小型蜂窝意味着减少等待时间,回程流量并增加无线电接入容量。在这种情况下,移动边缘计算技术将用于管理无线电接入网络中的专用缓存空间。因此,移动网络运营商将能够向OTT内容提供商提供新的缓存服务,以提高他们的客户在旅途中的体验质量。反过来,移动边缘网络中的缓存内存将成为共享资源。因此,研究一种竞争性的缓存方案,其中内容以移动网络运营商设定的给定价格存储。我们首先为标签内容提供商制定资源分配问题,以寻求最大程度地降低预期的未命中缓存率。得出最佳缓存策略,考虑到内容的受欢迎程度和可用性,小型单元的空间分布以及竞争内容提供者的缓存策略。已经显示出,基于要流行的内容和可用性,可以对要缓存的内容产生特定的顺序。接下来,我们以具有受限策略集和异构玩家的广义凯利机制的形式研究内容提供商之间的博弈。证明了纳什均衡的存在性和唯一性。最后,大量的数值结果验证并表征了模型的性能。

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