| |||||||
ShanghaiTech University Knowledge Management System
Low-Rank Matrix Completion for Mobile Edge Caching in Fog-RAN via Riemannian Optimization | |
2016-12-08 | |
会议录名称 | 2016 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
![]() |
发表状态 | 已发表 |
DOI | 10.1109/GLOCOM.2016.7841970 |
摘要 | The upcoming big data era requires tremendous computation and storage resources for communications. By pushing computation and storage to network edges, fog radio access networks (Fog-RAN) can effectively increase network throughput and reduce transmission latency. Furthermore, we can exploit the benefits of cache enabled architecture in Fog-RAN to deliver contents with less latency. Radio access units (RAUs) need content delivery from fog servers through wireline links whereas multiple mobile devices need contents from RAUs wirelessly. This work proposes a unified low-rank matrix completion (LRMC) approach to solving the content delivery problem in both wireline and wireless parts of Fog-RAN. To attain a low caching latency, we present a high precision approach with Riemannian trust-region method to solve the challenging LRMC problem by exploiting the quotient manifold geometry of fixed-rank matrices. Numerical results show that the new approach has a faster convergence rate, is able to achieve optimal results, and outperforms other state-of-art algorithms. |
关键词 | Edge caching Fog-RAN low-rank matrix completion Riemannian optimization |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
会议地点 | Washington, DC, United states |
会议日期 | 4-8 Dec. 2016 |
URL | 查看原文 |
收录类别 | CPCI ; EI |
语种 | 英语 |
资助项目 | Shanghai Sailing Program[16YF1407700] |
WOS研究方向 | Engineering ; Telecommunications |
WOS类目 | Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000401963303001 |
出版者 | IEEE |
EI入藏号 | 20171203471212 |
EI主题词 | Big data ; Digital storage ; Fog ; Radio links ; Radio transmission |
EI分类号 | Atmospheric Properties:443.1 ; Radio Systems and Equipment:716.3 ; Data Storage, Equipment and Techniques:722.1 ; Data Processing and Image Processing:723.2 ; Algebra:921.1 |
WOS关键词 | SCALE CONVEX-OPTIMIZATION |
原始文献类型 | Proceedings Paper |
来源库 | IEEE |
引用统计 | 正在获取...
|
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/1956 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_石远明组 信息科学与技术学院_博士生 |
通讯作者 | Yang, Kai |
作者单位 | 1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China 2.Univ Calif Davis, Dept ECE, Davis, CA 95616 USA |
第一作者单位 | 信息科学与技术学院 |
通讯作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Yang, Kai,Shi, Yuanming,Ding, Zhi. Low-Rank Matrix Completion for Mobile Edge Caching in Fog-RAN via Riemannian Optimization[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 |
修改评论
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。