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講演抄録/キーワード
講演名 2018-10-30 15:30
[招待講演]Multi-Access Edge Computing in 5G Networks and Beyond: A Survey
Quoc-Viet PhamChangwon National Univ.)・Won-Joo HwangInje Univ.
技報オンラインサービス実施中
抄録 (和) Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is
foreseen that the emerging 5G network and beyond will face an unprecedented increase in traffic volume and computation
demands. However, mobile devices usually have the limited storage capacities and finite processing capabilities, thus how to run
compute-intensive applications on resource-poor users has recently become a natural concern. Multi-access edge computing
(MEC), a key technology in the emerging 5G network, has been developed to optimize mobile resources by hosting computeintensive
computations and provide many other benefits. In doing so, MEC enables a wide variety of applications, where the
real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. The realization
of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities.
While there are some existing surveys for MEC systems, they are limited to specific aspects and potential use cases of MEC
[1-2], for instance, overview, architecture and computation offloading, resource allocation, and mathematical frameworks. These
articles are very shallow in addressing challenges of MEC in the context of other 5G technologies. To the best of our knowledge,
there is no existing survey that is done to stimulate the integration of MEC and 5G technologies. The purpose of our work is to
provide a holistic overview of MEC and its potential use cases and applications. The main part of our work is a survey of up-todate
researches on the integration of MEC with 5G technologies including non-orthogonal multiple access, wireless power
transfer and energy harvesting, unmanned aerial vehicle, IoT, and network densification. We further summarize lessons learned
from state-of-the-art works and discuss challenges and potential future directions for MEC research. In the following figure, we
illustrate this survey by showing some MEC-based applications and listing 5G technologies discussed. Additionally, we provide
a system model to explain the problem of computation offloading and resource allocation in MEC systems [2]. 
(英) Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is
foreseen that the emerging 5G network and beyond will face an unprecedented increase in traffic volume and computation
demands. However, mobile devices usually have the limited storage capacities and finite processing capabilities, thus how to run
compute-intensive applications on resource-poor users has recently become a natural concern. Multi-access edge computing
(MEC), a key technology in the emerging 5G network, has been developed to optimize mobile resources by hosting computeintensive
computations and provide many other benefits. In doing so, MEC enables a wide variety of applications, where the
real-time response is strictly required, e.g., driverless vehicles, augmented reality, robotics, and immerse media. The realization
of MEC in the 5G network is still in its infancy and demands for constant efforts from both academic and industry communities.
While there are some existing surveys for MEC systems, they are limited to specific aspects and potential use cases of MEC
[1-2], for instance, overview, architecture and computation offloading, resource allocation, and mathematical frameworks. These
articles are very shallow in addressing challenges of MEC in the context of other 5G technologies. To the best of our knowledge,
there is no existing survey that is done to stimulate the integration of MEC and 5G technologies. The purpose of our work is to
provide a holistic overview of MEC and its potential use cases and applications. The main part of our work is a survey of up-todate
researches on the integration of MEC with 5G technologies including non-orthogonal multiple access, wireless power
transfer and energy harvesting, unmanned aerial vehicle, IoT, and network densification. We further summarize lessons learned
from state-of-the-art works and discuss challenges and potential future directions for MEC research. In the following figure, we
illustrate this survey by showing some MEC-based applications and listing 5G technologies discussed. Additionally, we provide
a system model to explain the problem of computation offloading and resource allocation in MEC systems [2].
キーワード (和) Multi-Access Edge Computing / 5G Networks and Beyond / Resource Allocation, Computation Offloading / / / / /  
(英) Multi-Access Edge Computing / 5G Networks and Beyond / Resource Allocation, Computation Offloading / / / / /  
文献情報 信学技報
資料番号  
発行日  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
査読に
ついて
本技術報告は査読を経ていない技術報告であり,推敲を加えられていずれかの場に発表されることがあります.

研究会情報
研究会 SR RCS  
開催期間 2018-10-30 - 2018-10-31 
開催地(和) Mandarin Hotel, Bangkok, Thailand 
開催地(英) Mandarin Hotel, Bangkok, Thailand 
テーマ(和) SmartCom2018 
テーマ(英) SmartCom2018 
講演論文情報の詳細
申込み研究会 SR 
会議コード 2018-10-SR-RCS 
本文の言語 英語 
タイトル(和)  
サブタイトル(和)  
タイトル(英) Multi-Access Edge Computing in 5G Networks and Beyond: A Survey 
サブタイトル(英)  
キーワード(1)(和/英) Multi-Access Edge Computing / Multi-Access Edge Computing  
キーワード(2)(和/英) 5G Networks and Beyond / 5G Networks and Beyond  
キーワード(3)(和/英) Resource Allocation, Computation Offloading / Resource Allocation, Computation Offloading  
キーワード(4)(和/英) /  
キーワード(5)(和/英) /  
キーワード(6)(和/英) /  
キーワード(7)(和/英) /  
キーワード(8)(和/英) /  
第1著者 氏名(和/英/ヨミ) Quoc-Viet Pham / Quoc-Viet Pham /
第1著者 所属(和/英) Changwon National University (略称: Changwon National Univ.)
Changwon National University (略称: Changwon National Univ.)
第2著者 氏名(和/英/ヨミ) Won-Joo Hwang / Won-Joo Hwang /
第2著者 所属(和/英) Inje University (略称: Inje Univ.)
Inje University (略称: Inje Univ.)
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講演者
発表日時 2018-10-30 15:30:00 
発表時間 25 
申込先研究会 SR 
資料番号  
巻番号(vol) IEICE-118 
号番号(no) no.274 
ページ範囲  
ページ数 IEICE- 
発行日  


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