Feature-Aware D2D Content Caching Strategy

被引：0
|
作者：
Yang J. [1 ,2 ,3 ]
Li J. [1 ,2 ,3 ]
机构：
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
[2] Optical Communication and Networks Key Laboratory of Chongqing, Chongqing
[3] Ubiquitous Sensing and Networking Key Laboratory of Chongqing, Chongqing
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2020年 / 42卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Content caching; D2D communication; Edge network; Exploration; -; exploitation; Value prediction;
D O I：
10.11999/JEITdzyxxxb-42-9-2201
中图分类号：
学科分类号：
摘要：
Device to Device (D2D) communications can effectively offload base station traffic. In D2D networks, the popular content is not only needs to be shared, but also the individual content is needs to be cached. In this paper, the problem of cache content selection is researched. A Content Social Value Prediction(CSVP) method based on feature perception is proposed. Value prediction can not only reduce latency, but also reduce the number of cache replacements and reduce cache costs. Firstly, the current value of content is calculated by combining user features and content features, and then future value is calculated through user social relationships. The small base station provides the user with a personalized content caching service according to the value of the content, and the base station selects a content with a larger value in the individual cache content of each small base station as popular content. Simulation results show that the caching strategy based on the proposed method can alleviate the base station traffic effectively, and reduce the delay by about 20%~40%.
引用
收藏
页码：2201 / 2207
页数：6
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