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Cooperation-Based Probabilistic Caching Strategy in Clustered Cellular Networks

机译:集群蜂窝网络中基于合作的概率缓存策略

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摘要

This letter will discuss the probabilistic caching strategies in spatially clustered cellular networks. Thanks to the content preference of mobile users, proactive caching can be adopted as a promising technique to diminish the backhaul traffic and to decrease the content delivery latency. However, basically there are two obstacles to accomplish the caching policy, i.e., the limited storage capacity of small cells to cache large amount of multimedia contents, and the too small number of users under each base station to imply the content aggregation effect. Traditional caching strategies of the base station only concern its local requests from the connected users through wireless links, but neglect the potential benefit from the cluster feature of the network infrastructure and user traffic demand. In this letter, we proposed a new policy called "Caching as a Cluster", where small cells can exchange content with each other to fulfill every user request within the cluster of base stations. Intuitively, this cooperation between base stations makes a difference to decrease the content delivery latency of mobile users in clustered cellular networks as testified in our numerical simulation.
机译:这封信将讨论空间群集的蜂窝网络中的概率缓存策略。由于移动用户对内容的偏爱,可以将主动缓存作为一种有前途的技术来减少回程流量并减少内容交付延迟。然而,基本上实现缓存策略有两个障碍,即,小小区的存储容量有限,无法缓存大量的多媒体内容,并且每个基站下的用户数量太少,无法暗示内容聚合的效果。基站的传统缓存策略仅涉及通过无线链路从连接的用户发出的本地请求,而忽略了网络基础结构的群集功能和用户流量需求带来的潜在好处。在这封信中,我们提出了一种称为“缓存作为群集”的新策略,其中小小区可以相互交换内容,以满足基站群集中的每个用户请求。直观地讲,基站之间的这种协作在减少集群蜂窝网络中移动用户的内容交付延迟方面有所不同,正如我们的数值模拟所证明的那样。

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