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Cooperative Content Caching for Mobile Edge Computing With Network Coding

delete2019-01-01
delete16
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OA
AI
W
Weisheng He
Y
Yuhan Su
X
Xueting Xu
Z
Zhaohui Luo
L
Lianfen Huang *
Xiaojiang Du 封面图
Xiaojiang Du (Xiaojiang Du)
DOI:10.1109/ACCESS.2019.2917977delete
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摘要

摘要

En 中文
As an important technology in next-generation networks, mobile edge computing (MEC) can bring high-speed intelligent network services to users. However, planning MEC file transmission represents a problem to be urgently solved. In addition, network coding has been an emerging technology in recent years, and certain forms of cooperation with wireless relays can improve the transmission efficiency of network data. In this paper, we focus on cooperation in MEC intelligent cache with network coding. First, we built a MEC intelligent cache analysis platform that includes multiple algorithms; it can predetermine which streaming media files should be stored in the limited storage space of the MEC device to provide users the most efficient intelligent network experience. The platform's decision algorithm includes an innovative composite recommendation algorithm that is more comprehensive than the traditional recommendation algorithm. The MEC file extracted from the core network is then simultaneously transmitted to the edge with the real-time normal communication file using an innovative network coding and wireless relay cooperation method; with that, the files stored in the MEC can be cached to the edge. The normal network communication process does not require additional slot costs. The simulation results show that the proposed cooperation scheme can effectively improve network data transmission, improve users' average access rate, and offer users better intelligent network services.
Keyword:
Mobile edge computing
network coding
wireless relay
intelligent cache
cooperative communications
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期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

P
pennsylvania commonwealth system of higher education (pcshe)
学者数:
12.9W
论文数: 11.7W
被引数: 177
X
xiamen university
学者数:
5.9W
论文数: 3.8W
被引数: 67
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