Mobile edge computing and application in traffic offloading

Mobile edge computing(MEC)makes it possible to deploy and provide service locally,which is close to the users,by enabling the IT and cloud computation capacity at the radio access network (RAN).Thus,MEC can improve the quality of experience (QoE) by reducing the latency,and decrease the network oper...

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Main Authors: Jianmin ZHANG, Weiliang XIE, Fengyi YANG, Zhouyun WU, Liang XIE
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2016-07-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016165/
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author Jianmin ZHANG
Weiliang XIE
Fengyi YANG
Zhouyun WU
Liang XIE
author_facet Jianmin ZHANG
Weiliang XIE
Fengyi YANG
Zhouyun WU
Liang XIE
author_sort Jianmin ZHANG
collection DOAJ
description Mobile edge computing(MEC)makes it possible to deploy and provide service locally,which is close to the users,by enabling the IT and cloud computation capacity at the radio access network (RAN).Thus,MEC can improve the quality of experience (QoE) by reducing the latency,and decrease the network operation cost through reducing backhaul capacity requirement.Meanwhile,based on the network context information (location,network traffic load,radio information,etc) exposure to applications and services,MEC can further improve the QoE of user and provide the platform to third-party partners for application and service innovation.Besides the introduction of MEC,the detailed MEC platform was presented.Furthermore,the traffic offloading solution based on MEC was proposed and compared with the solution of local IP access and selected IP traffic offload (LIPA/SIPTO).In addition,the problems and challenges of the MEC were also discussed in detail.
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institution Kabale University
issn 1000-0801
language zho
publishDate 2016-07-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-c4243133f0c0466da6a97ca15e3d6ffd2025-01-15T03:25:12ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-07-013213214359801233Mobile edge computing and application in traffic offloadingJianmin ZHANGWeiliang XIEFengyi YANGZhouyun WULiang XIEMobile edge computing(MEC)makes it possible to deploy and provide service locally,which is close to the users,by enabling the IT and cloud computation capacity at the radio access network (RAN).Thus,MEC can improve the quality of experience (QoE) by reducing the latency,and decrease the network operation cost through reducing backhaul capacity requirement.Meanwhile,based on the network context information (location,network traffic load,radio information,etc) exposure to applications and services,MEC can further improve the QoE of user and provide the platform to third-party partners for application and service innovation.Besides the introduction of MEC,the detailed MEC platform was presented.Furthermore,the traffic offloading solution based on MEC was proposed and compared with the solution of local IP access and selected IP traffic offload (LIPA/SIPTO).In addition,the problems and challenges of the MEC were also discussed in detail.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016165/MECMEC platformtraffic offloadingLIPA/SIPTO
spellingShingle Jianmin ZHANG
Weiliang XIE
Fengyi YANG
Zhouyun WU
Liang XIE
Mobile edge computing and application in traffic offloading
Dianxin kexue
MEC
MEC platform
traffic offloading
LIPA/SIPTO
title Mobile edge computing and application in traffic offloading
title_full Mobile edge computing and application in traffic offloading
title_fullStr Mobile edge computing and application in traffic offloading
title_full_unstemmed Mobile edge computing and application in traffic offloading
title_short Mobile edge computing and application in traffic offloading
title_sort mobile edge computing and application in traffic offloading
topic MEC
MEC platform
traffic offloading
LIPA/SIPTO
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016165/
work_keys_str_mv AT jianminzhang mobileedgecomputingandapplicationintrafficoffloading
AT weiliangxie mobileedgecomputingandapplicationintrafficoffloading
AT fengyiyang mobileedgecomputingandapplicationintrafficoffloading
AT zhouyunwu mobileedgecomputingandapplicationintrafficoffloading
AT liangxie mobileedgecomputingandapplicationintrafficoffloading