无线边缘智能助力智慧社会

王旨; 张兴; 王文博

doi:10.11959/j.issn.1000-0801.2019044

您当前的位置：

首页 >

文章列表页 >

无线边缘智能助力智慧社会

研究与开发 | 更新时间：2024-06-05

- 无线边缘智能助力智慧社会
- Wireless edge intelligence empowers smart society
- 电信科学 2019年35卷第3期页码：54-61
- 作者机构：
- 作者简介：
  
  [ "王旨（1991- ），男，北京邮电大学泛网无线通信教育部重点实验室博士生，主要研究方向为无线通信。" ]
  [ "张兴（1980- ），男，北京邮电大学教授、博士生导师，主要从事无线通信的研究和教学工作。" ]
  [ "王文博（1965- ），男，北京邮电大学副校长、教授、博士生导师，长期从事无线系统的研究和教学工作。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61571054)
- DOI：10.11959/j.issn.1000-0801.2019044
  中图分类号： TN929.5
- 网络出版日期：2019-03，
  
  纸质出版日期：2019-03-20
- 稿件说明：
移动端阅览
王旨, 张兴, 王文博. 无线边缘智能助力智慧社会[J]. 电信科学, 2019,35(3):54-61.

Zhi WANG, Xing ZHANG, Wenbo WANG. Wireless edge intelligence empowers smart society[J]. Telecommunications science, 2019, 35(3): 54-61.
王旨, 张兴, 王文博. 无线边缘智能助力智慧社会[J]. 电信科学, 2019,35(3):54-61. DOI： 10.11959/j.issn.1000-0801.2019044.

Zhi WANG, Xing ZHANG, Wenbo WANG. Wireless edge intelligence empowers smart society[J]. Telecommunications science, 2019, 35(3): 54-61. DOI： 10.11959/j.issn.1000-0801.2019044.

摘要

为了满足增强移动带宽、海量机器类通信和超可靠低时延通信三大5G应用场景的技术需求，无线边缘智能将计算、存储以及网络等核心能力下沉到接入网边缘，并在网络边缘引入深度学习、人工智能等技术，从而赋能数字化生活、数字化社会、数字化工业。首先，阐明了无线边缘智能的概念、面临的挑战和机遇；其次，分析了无线边缘智能的平台部署；最后，探讨了无线边缘智能未来可能的发展方向。

Abstract

To satisfy the technical requirements of eMBB

mMTC and uRLLC in 5G application scenarios

wireless edge intelligence sinks core capabilities of computing

caching and network to the edge of radio access network

as well as introduces technologies such as deep learning/artificial intelligence into the edge cloud

thereby enabling digital life

digital society and digital industry.Firstly

the concept

challenges and opportunities of wireless edge intelligence were clarified.Moreover

the platform deployment of wireless edge intelligence was analyzed.Finally

the possible future deployment directions of wireless edge intelligence were discussed.

关键词

Keywords

references

SHAFI M , MOLISCH A F , SMITH P J , et al . 5G:a tutorial overview of standards,trials,challenges,deployment and practice [J ] . IEEE Journal on Selected Areas in Communications , 2017 , 35 ( 6 ): 1201 - 1221 .

GUPTA A , JHA R K . A survey of 5G network:architecture and emerging technologies [J ] . IEEE Access , 2015 ( 3 ): 1206 - 1232 .

PALATTELLA M R , DOHLER M , GRIECO A , et al . Internet of things in the 5G era:enablers,architecture,and business models [J ] . IEEE Journal on Selected Areas in Communications , 2016 , 34 ( 3 ): 510 - 527 .

AKPAKWU G A , SILVA B J , HANCKE G P , et al . A survey on 5G networks for the internet of things:communication technologies and challenges [J ] . IEEE Access , 2018 ( 6 ): 3619 - 3647 .

IDC . Mobile edge computing-a gateway to 5G era [R ] . 2016 .

ABBAS N , ZHANG Y , TAHERKORDI A , et al . Mobile edge computing:a survey [J ] . IEEE Internet of Things Journal , 2018 , 5 ( 1 ): 450 - 465 .

MAO Y , YOU C , ZHANG J , et al . A survey on mobile edge computing:the communication perspective [J ] . IEEE Communications Surveys ＆ Tutorials , 2017 , 19 ( 4 ): 2322 - 2358 .

MACH P , BECVAR Z . Mobile edge computing:a survey on architecture and computation offloading [J ] . IEEE Communications Surveys ＆ Tutorials , 2017 , 19 ( 3 ): 1628 - 1656 .

ETSI . Mobile edge computing:a key technology towards 5G [S ] . 2015 .

ETSI . Developing software for multi-access edge computing [S ] . 2017 .

ETSI . MEC in 5G networks [S ] . 2018 .

GAO X , OUYANG D , SUN J , et al . AI in China:a survey [J ] . IEEE Intelligent Systems , 2008 , 23 ( 6 ): 26 - 32 .

LINTHICUM D S . Making sense of AI in public clouds [J ] . IEEE Cloud Computing , 2017 , 4 ( 6 ): 70 - 72 .

SHARIATMADARI H , RATASUK R , IRAJI S , et al . Machine-type communications:current status and future perspectives toward 5G systems [J ] . IEEE Communications Magazine , 2015 , 53 ( 9 ): 10 - 17 .

CHIANG M , ZHANG T . Fog and IoT:an overview of research opportunities [J ] . IEEE Internet of Things Journal , 2016 , 3 ( 6 ): 854 - 864 .

ETSI . MEC deployments in 4G and evolution towards 5G [S ] . 2018 .

YU Y . Mobile edge computing towards 5G:vision,recent progress,and open challenges [J ] . China Communications , 2016 , 13 ( Supplement2 ): 89 - 99 .

BEGIN T , BAYNAT B , GALLARDO G A , et al . An accurate and efficient modeling framework for the performance evaluation of DPDK-based virtual switches [J ] . IEEE Transactions on Network and Service Management,2018,10.1109/TNSM , 2018 :2874476.

LUO G , YUAN Q , ZHOU H , et al . Cooperative vehicular content distribution in edge computing assisted 5G-VANET [J ] . China Communications , 2018 , 15 ( 7 ): 1 - 17 .

HUANG X , YU R , KANG J , et al . Distributed reputation management for secure and efficient vehicular edge computing and networks [J ] . IEEE Access , 2017 ( 5 ): 25408 - 25420 .

GARG S , SINGH A , BATRA S , et al . UAV-empowered edge computing environment for cyber-threat detection in smart vehicles [J ] . IEEE Network , 2018 , 32 ( 3 ): 42 - 51 .

XIONG Z , ZHANG Y , NIYATO D , et al . When mobile blockchain meets edge computing [J ] . IEEE Communications Magazine , 2018 , 56 ( 8 ): 33 - 39 .

LIU M , YU R , TENG Y , et al . Computing offloading and content caching in wireless blockchain networks with mobile edge computing [J ] . IEEE Transactions on Vehicular Technology,2018,10.1109/TVT , 2018 :.2866365.

JIAO Y , WANG P , NIYATO D , et al . Social welfare maximization auction in edge computing resource allocation for mobile blockchain [C ] // 2018 IEEE International Conference on Communications,May 20-24,2018,Kansas City,MO,USA . Piscataway:IEEE Press , 2018 : 1 - 6 .

HOU W , NING Z , GUO L . Green survivable collaborative edge computing in smart cities [J ] . IEEE Transactions on Industrial Informatics , 2018 , 14 ( 4 ): 1594 - 1605 .

LI M , SI P , ZHANG Y . Delay-tolerant data traffic to software-defined vehicular networks with mobile edge computing in smart city [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 10 ): 9073 - 9086 .

XU H , YU W , GRIFFITH D , et al . A survey on industrial internet of things:a cyber-physical systems perspective [J ] . IEEE Access , 2018 ( 6 ): 78238 - 78259 .

PORAMBAGE P , OKWUIBE J , LIYANAGE M , et al . Survey on multi-access edge computing for internet of things realization [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 4 ): 2961 - 2991 .

UGWUANYI E E , GHOSH S , IQBAL M , et al . Reliable resource provisioning using bankers’ deadlock avoidance algorithm in MEC for industrial IoT [J ] . IEEE Access , 2018 ( 6 ): 43327 - 43335 .

SUN W , LIU J , YUE Y , et al . Double auction-based resource allocation for mobile edge computing in industrial internet of things [J ] . IEEE Transactions on Industrial Informatics , 2018 , 14 ( 10 ): 4692 - 4701 .

浏览量

966

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向垂直行业专网的确定性SLA指标分级研究

基于智能超表面辅助的组网分析

5G多路冗余传输技术综述

星地融合下的手机直连关键技术研究

配电网5G通信架构及其时延可靠性研究