Heterogeneous multi-layer mobile edge computing for 6G

With the development of the Internet of things,multiple real-time applications will emerge in future 6G communication network.Driven by demands on low-latency services of multiple real-time applications,mobile edge computing (MEC) will become an important technology to improve the user experience an...

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Main Authors: Pengfei WANG, Boya DI, Lingyang SONG, Zhu HAN
Format: Article
Language:zho
Published: China InfoCom Media Group 2020-03-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00147/
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author Pengfei WANG
Boya DI
Lingyang SONG
Zhu HAN
author_facet Pengfei WANG
Boya DI
Lingyang SONG
Zhu HAN
author_sort Pengfei WANG
collection DOAJ
description With the development of the Internet of things,multiple real-time applications will emerge in future 6G communication network.Driven by demands on low-latency services of multiple real-time applications,mobile edge computing (MEC) will become an important technology to improve the user experience and reduce the network cost.However,the computing capacity of a single MEC server is limited,which induces that it is difficult to meet the low-latency requirement of data processing for the computation-intensive applications.A heterogeneous multi-layer mobile edge computing (HetMEC) network architecture was proposed to jointly utilize the computing and transmission resources of both the cloud computing center and multi-layer MEC servers.By reasonably dividing and offloading computing tasks,reliable and efficient computing services were provided for edge applications.Simulation results show that the proposed algorithm could effectively reduce the processing latency,improve the network processing rate and robustness.
format Article
id doaj-art-de84bb47e41e4df985389ef9cbcfafe5
institution Kabale University
issn 2096-3750
language zho
publishDate 2020-03-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-de84bb47e41e4df985389ef9cbcfafe52025-01-15T02:52:52ZzhoChina InfoCom Media Group物联网学报2096-37502020-03-01412113059645766Heterogeneous multi-layer mobile edge computing for 6GPengfei WANGBoya DILingyang SONGZhu HANWith the development of the Internet of things,multiple real-time applications will emerge in future 6G communication network.Driven by demands on low-latency services of multiple real-time applications,mobile edge computing (MEC) will become an important technology to improve the user experience and reduce the network cost.However,the computing capacity of a single MEC server is limited,which induces that it is difficult to meet the low-latency requirement of data processing for the computation-intensive applications.A heterogeneous multi-layer mobile edge computing (HetMEC) network architecture was proposed to jointly utilize the computing and transmission resources of both the cloud computing center and multi-layer MEC servers.By reasonably dividing and offloading computing tasks,reliable and efficient computing services were provided for edge applications.Simulation results show that the proposed algorithm could effectively reduce the processing latency,improve the network processing rate and robustness.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00147/internet of thingsheterogeneous networkmobile edge computingtask assignmentresource allocation
spellingShingle Pengfei WANG
Boya DI
Lingyang SONG
Zhu HAN
Heterogeneous multi-layer mobile edge computing for 6G
物联网学报
internet of things
heterogeneous network
mobile edge computing
task assignment
resource allocation
title Heterogeneous multi-layer mobile edge computing for 6G
title_full Heterogeneous multi-layer mobile edge computing for 6G
title_fullStr Heterogeneous multi-layer mobile edge computing for 6G
title_full_unstemmed Heterogeneous multi-layer mobile edge computing for 6G
title_short Heterogeneous multi-layer mobile edge computing for 6G
title_sort heterogeneous multi layer mobile edge computing for 6g
topic internet of things
heterogeneous network
mobile edge computing
task assignment
resource allocation
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2020.00147/
work_keys_str_mv AT pengfeiwang heterogeneousmultilayermobileedgecomputingfor6g
AT boyadi heterogeneousmultilayermobileedgecomputingfor6g
AT lingyangsong heterogeneousmultilayermobileedgecomputingfor6g
AT zhuhan heterogeneousmultilayermobileedgecomputingfor6g