基于边缘计算无线网络的社交感知D2D缓存内容部署策略

Tingting Xu, Jian Jiao, Xin Chen, Ying Chen
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引用次数: 5

摘要

在移动终端设备中缓存流行的文件,并通过设备对设备(D2D)通信技术传输这些文件,可以在边缘计算无线网络上卸载基站(BS)的流量。用户设备(UE)是移动的,D2D通信链路随时可能断开。此外,ue由具有社会属性的人承担。在研究D2D缓存内容部署策略时考虑移动终端的这些信息,可以提高缓存效率。为了降低从数据库中请求文件的概率,我们设计了一种高效的社会感知缓存内容部署策略,该策略包括社区发现机制、缓存节点选择算法和文件缓存概率确定算法。仿真实验证明了我们的D2D缓存内容部署策略可以提高边缘计算无线网络的流量卸载率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social-Aware D2D Caching Content Deployment Strategy over Edge Computing Wireless Networks
Caching the popular files in mobile terminal equipments and transferring those files via Device-to-Device (D2D) communication technology can offload the traffic from the Base Station(BS) over edge computing wierless network. The user equipments(UE) are mobile and the D2D communication links may drop any instant. In addition, UEs are carried by people with social attributes. Considering those information about mobile terminals when we study the D2D caching content deployment strategy can improve the caching efficiency. In order to reduce the probability of requesting files from BS, we design an efficient social-aware caching content deployment strategy, which includes the community discovery mechanism, the caching nodes selection algorithm and the file caching probability determination algorithm. Simulation experiments are provided to prove that our D2D caching content deployment strategy can improve the traffic offload rate in edge computing wireless networks.
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