Distributed Mobile Devices Caching Over Edge Computing Wireless Networks
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abstract
2017 IEEE. 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.
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2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
