MOBILE EDGE COMPUTING-ENABLED 5G VEHICULAR NETWORKS Toward the Integration of Communication and Computing

被引：85

作者：

Ning, Zhaolong ^{[1
,2
,3
]}

Wang, Xiaojie ^{[4
]}

Huang, Jun ^{[2
]}

机构：

[1] Dalian Univ Technol, Sch Software, Key Lab Ubiquitous Network & Serv Software Liaoni, Dalian, Peoples R China

[2] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing, Peoples R China

[3] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China

[4] Dalian Univ Technol, Sch Software, Dalian, Peoples R China

来源：

IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2019年 / 14卷 / 01期

基金：

中国国家自然科学基金;

关键词：

15;

D O I：

10.1109/MVT.2018.2882873

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To meet the requirements of real-time and missioncritical applications in vehicular networks, mobile edge computing (MEC) has become an emerging ecosystem that extends the centralized cloud computing capability to the edge close to terminal devices. Although MEC can bring various benefits, such as high-efficiency use of mobile backhaul networks, coping with the ever-increasing demands of ubiquitous connectivity, energy-efficient computation, and ultralow latency is still challenging. Nonorthogonal multiple access (NOMA) technology is acknowledged as a promising solution to provide massive connectivity and ubiquitous communications in 5G. © 2005-2012 IEEE.

引用

页码：54 / 61

页数：8

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