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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
DOI10.1109/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
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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.
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