Distributed mobile devices caching over edge computing wireless networks

Xi Zhang, Qixuan Zhu
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引用次数: 18

Abstract

In edge computing wireless networks, popular data contents can be stored in mobile devices to provide the local data resources services, so that a mobile user can obtain these data contents directly from its nearby mobile devices instead of the remote service provider. Even though each mobile device's caching memory can be limited, caching in mobile devices offers the great potential of caching capability because of the massive mobile devices. In this paper, we focus on a single cellular network where mobile users' requested data contents are cached in nearby peer mobile devices and are served by device-to-device (D2D) communications. We propose the caching in mobile devices schemes through deriving the minimum distance between two actively offloaded mobile user receivers to optimize the D2D throughput while guaranteeing the D2D channel quality. We also quantify the improvements of this offloading supported cellular network in terms of (1) the upper and lower bound of offloading probability, (2) average throughput of offloaded traffic, (3) average content downloading delay, and (4) variance of total number of potential D2D links, which result in more superior network performances than pure cellular networks. Finally, we evaluate and validate the network improvements using our proposed mobile devices caching framework through numerical analyses.
在边缘计算无线网络上的分布式移动设备缓存
在边缘计算无线网络中,可以将流行的数据内容存储在移动设备中,提供本地数据资源服务,使移动用户可以直接从其附近的移动设备中获取这些数据内容,而不是从远程服务提供商处获取。尽管每个移动设备的缓存内存有限,但由于移动设备数量庞大,移动设备中的缓存提供了缓存功能的巨大潜力。在本文中,我们关注的是单个蜂窝网络,其中移动用户请求的数据内容缓存在附近的对等移动设备中,并通过设备对设备(D2D)通信提供服务。我们提出了一种移动设备缓存方案,通过推导两个主动卸载的移动用户接收器之间的最小距离来优化D2D吞吐量,同时保证D2D信道质量。我们还从(1)卸载概率的上限和下限、(2)卸载流量的平均吞吐量、(3)平均内容下载延迟和(4)潜在D2D链路总数的方差等方面量化了这种支持卸载的蜂窝网络的改进,这些改进导致了比纯蜂窝网络更优越的网络性能。最后,我们通过数值分析来评估和验证使用我们提出的移动设备缓存框架的网络改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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