arrow
返回

Cloud-Edge Coordinated Processing: Low-Latency Multicasting Transmission

delete2019-05-01
delete38
delete
OA
AI
S
Shiwen He
Ju Ren 封面图
Ju Ren (Ju Ren) *
J
Jiaheng Wang
黄永明 (Yongming Huang) *
Y
Yaoxue Zhang
W
Weihua Zhuang
S
Shen, Sherman
DOI:10.1109/JSAC.2019.2906791delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Recently, edge caching and multicasting arise as two promising technologies to support high-data-rate and low-latency delivery in wireless communication networks. In this paper, we design three transmission schemes aiming to minimize the delivery latency for cache-enabled multigroup multicasting networks. In particular, full caching bulk transmission scheme is first designed as a performance benchmark for the ideal situation where the caching capability of each enhanced remote radio head (eRRH) is sufficient large to cache all files. For the practical situation where the caching capability of each eRRH is limited, we further design two transmission schemes, namely partial caching bulk transmission (PCBT) and partial caching pipelined transmission (PCPT) schemes. In the PCBT scheme, eRRHs first fetch the uncached requested files from the baseband unit (BBU) and then all requested files are simultaneously transmitted to the users. In the PCPT scheme, eRRHs first transmit the cached requested files while fetching the uncached requested files from the BBU. Then, the remaining cached requested files and fetched uncached requested files are simultaneously transmitted to the users. The design goal of the three transmission schemes is to minimize the delivery latency, subject to some practical constraints. Efficient algorithms are developed for the low-latency cloud-edge coordinated transmission strategies. Numerical results are provided to evaluate the performance of the proposed transmission schemes and show that the PCPT scheme outperforms the PCBT scheme in terms of the delivery latency criterion.
Keyword:
Cache-enabled radio access networks
delivery latency
multigroup multicasting
non-convex optimization
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Journal on Selected Areas in Communications 封面图
IEEE Journal on Selected Areas in Communications
IF:
17.2
论文数:
6.4K
被引数:
3.1W

机构

C
Central South University
学者数:
10.0W
论文数: 7.2W
被引数: 10.9W
S
southeast university - china
学者数:
5.3W
论文数: 4.9W
被引数: 57
U
University of Waterloo
学者数:
2.2W
论文数: 2.3W
被引数: 3.3W
学者 查看更多机构
引用论文

引用论文

Two-Level Transmission Scheme for Cache-Enabled Fog Radio Access Networks
err2019-01-01
err20
errOAAI
errHe, Shiwen; Qi, Chenhao; Huang, Yongming; Hou, Qi; Nallanathan, Arumugam
err分享
err收藏
Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks
err2014-08-01
err750
errOAAI
errBastug, Ejder; Bennis, Mehdi; Debbah, Merouane
err分享
err收藏
Cache-Enabled Physical Layer Security for Video Streaming in Backhaul-Limited Cellular Networks
err2018-02-01
err50
errOAAI
errXiang, Lin; Ng, Derrick Wing Kwan; Schober, Robert; Wong, Vincent W. S.
err分享
err收藏
Hybrid Content Caching in 5G Wireless Networks: Cloud Versus Edge Caching
err2018-05-01
err118
PREAI
errKwak, Jeongho; Kim, Yeongjin; Le, Long Bao; Chong, Song
err分享
err收藏
Near-Optimal and Truthful Online Auction for Computation Offloading in Green Edge-Computing Systems
err2020-04-01
err103
errOAAI
errZhang, Deyu; Tan, Long; Ren, Ju; Awad, Mohamad Khattar; Zhang, Shan; Zhang, Yaoxue; Wan, Peng-Jun
err分享
err收藏
Enabling Low-Latency Applications in Fog-Radio Access Networks
err2017-01-01
err146
PREAI
errShih, Yuan-Yao; Chung, Wei-Ho; Pang, Ai-Chun; Chiu, Te-Chuan; Wei, Hung-Yu
err分享
err收藏
学者 查看更多内容