| Paper Abstract and Keywords |
| Presentation |
2018-10-30 15:30
[Invited Talk]
Multi-Access Edge Computing in 5G Networks and Beyond: A Survey
Quoc-Viet Pham (Changwon National Univ.), Won-Joo Hwang (Inje Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
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]. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Multi-Access Edge Computing / 5G Networks and Beyond / Resource Allocation, Computation Offloading / / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
| Download PDF |
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| Conference Information |
| Committee |
SR RCS |
| Conference Date |
2018-10-30 - 2018-10-31 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Mandarin Hotel, Bangkok, Thailand |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
SmartCom2018 |
| Paper Information |
| Registration To |
SR |
| Conference Code |
2018-10-SR-RCS |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Multi-Access Edge Computing in 5G Networks and Beyond: A Survey |
| Sub Title (in English) |
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| Keyword(1) |
Multi-Access Edge Computing |
| Keyword(2) |
5G Networks and Beyond |
| Keyword(3) |
Resource Allocation, Computation Offloading |
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| Keyword(5) |
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| 1st Author's Name |
Quoc-Viet Pham |
| 1st Author's Affiliation |
Changwon National University (Changwon National Univ.) |
| 2nd Author's Name |
Won-Joo Hwang |
| 2nd Author's Affiliation |
Inje University (Inje Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2018-10-30 15:30:00 |
| Presentation Time |
25 minutes |
| Registration for |
SR |
| Paper # |
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| Volume (vol) |
vol.118 |
| Number (no) |
no.274 |
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