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Mobility-Aware Caching and Computation Offloading in 5G Ultra-Dense Cellular Networks

机译:5G超密集蜂窝网络中的移动感知缓存和计算分载

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摘要

Recent trends show that Internet traffic is increasingly dominated by content, which is accompanied by the exponential growth of traffic. To cope with this phenomena, network caching is introduced to utilize the storage capacity of diverse network devices. In this paper, we first summarize four basic caching placement strategies, i.e., local caching, Device-to-Device (D2D) caching, Small cell Base Station (SBS) caching and Macrocell Base Station (MBS) caching. However, studies show that so far, much of the research has ignored the impact of user mobility. Therefore, taking the effect of the user mobility into consideration, we proposes a joint mobility-aware caching and SBS density placement scheme (MS caching). In addition, differences and relationships between caching and computation offloading are discussed. We present a design of a hybrid computation offloading and support it with experimental results, which demonstrate improved performance in terms of energy cost. Finally, we discuss the design of an incentive mechanism by considering network dynamics, differentiated user’s quality of experience (QoE) and the heterogeneity of mobile terminals in terms of caching and computing capabilities.
机译:最近的趋势表明,互联网流量越来越多地由内容主导,伴随着流量呈指数增长。为了应对这种现象,引入了网络缓存以利用各种网络设备的存储容量。在本文中,我们首先总结了四种基本的缓存放置策略,即本地缓存,设备到设备(D2D)缓存,小小区基站(SBS)缓存和宏小区基站(MBS)缓存。但是,研究表明,到目前为止,许多研究都忽略了用户移动性的影响。因此,考虑到用户移动性的影响,我们提出了一种联合移动性感知缓存和SBS密度放置方案(MS缓存)。另外,讨论了缓存和计算卸载之间的差异和关系。我们提出了一种混合计算分流的设计,并提供了实验结果,证明了在能源成本方面的改进性能。最后,我们从缓存和计算能力的角度考虑网络动态,差异化的用户体验质量(QoE)和移动终端的异构性,讨论激励机制的设计。

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