In cellular networks, the densification of connected devices and base stations engender the ever-growing traffic intensity, and caching popular contents with smart management is a promising way to alleviate such consequences. Our research extends the previously proposed analysis of three-tier cache enabled Heterogeneous Networks (HetNets). The main contributions are threefold. We consider the more realistic assumption; that is, the distribution of small base stations is following Poisson-Poisson cluster processes, which reflects the real situations of geographic restriction, user dense areas, and coverage-holes. We propose the allocation of downlink data transmission capacity according to the cases of requested contents which are either cached or non-cached in nearby nodes and elucidate the traffic efficiency of the allocation under the effect of clustered deployment of small base stations. The throughput and delay of the allocation system are derived based on the approximated sojourn time of the Discriminatory Processor Sharing (DPS) queue. We present the results of achievable efficiency and such a system's performance for a better caching solution to the challenges of future cellular networks.
翻译:在蜂窝网络中,连通装置和基地站的密度化导致交通强度不断上升,而以智能管理方式收缩流行内容是缓解这类后果的一个大有希望的方法。我们的研究扩展了先前提议的对三层缓存促成异质网络(HetNets)的分析。主要贡献有三重。我们认为,更现实的假设是:小型基地站的分布遵循Poisson-Poisson集群程序,这反映了地理限制、用户密集地区和覆盖孔等真实情况。我们建议根据请求的内容,分配下链接数据传输能力,这些内容要么隐藏在附近节点,要么没有隐藏在附近节点,并阐明在集群部署小型基地站的影响下分配的交通效率。分配系统的吞吐量和延迟根据差别处理共享(DPS)队列的大约隔冬时间来计算。我们介绍了可实现的效率的结果和这种系统的表现,以便更精确地解决未来蜂窝网络的挑战。