Paper Abstract and Keywords |
Presentation |
2018-10-31 10:25
[Poster Presentation]
Computational Capability and Radio Resource Allocation for Mobile Edge Computing Ryuji Kobayashi, Koichi Adachi (UEC) SR2018-75 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Due to the rapid advancement of the computing power of mobile devices, the interest in mobile applications and services have been rapidly growing. Since the computing power of mobile devices are not yet to be sufficient to process heavy tasks, the concept of mobile edge computing (MEC) has attracted huge attention. A MEC server which can process such heavy tasks is located at the edge of the radio access network (RAN) such as a base station (BS). Thus, mobile user (MU) can request the MEC server to process the task that it wishes to execute, and get the response within short time. If multiple MUs possess tasks that need to be processed by MEC server, MUs and MEC need to transmit and receive tasks using limited radio resources. In addition, MEC server also has to handle multiple tasks. Therefore, the radio and computational resources need to be allocated to each MU by taking into account the wireless channel condition and the computational power of MUs and MEC. In this paper, we propose an allocation scheme of the radio and computation resources to minimize the processing completion time of tasks which can be divided into local task and offload task. Local task is processed by each MU whilst offload task is processed by a MEC server. The processing completion time of the offload tasks are composed of three phases, uploading the tasks, processing the tasks at the MEC server, and returning the computation result from the MEC server to the MU. We first formulate the optimization problem to minimize the completion time of tasks. For the formulated optimization problem, we propose a two-step radio and computational resources allocation method which iteratively performs bisection search method and Johnson's algorithm. The numerical results elucidate that the proposed scheme can reduce the average total completion time by 33% compared to the conventional schemes. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Mobile edge computing (MEC) / cellular network / resource allocation / optimization / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 274, SR2018-75, pp. 37-38, Oct. 2018. |
Paper # |
SR2018-75 |
Date of Issue |
2018-10-23 (SR) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
SR2018-75 |
Conference Information |
Committee |
SR |
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 |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Computational Capability and Radio Resource Allocation for Mobile Edge Computing |
Sub Title (in English) |
|
Keyword(1) |
Mobile edge computing (MEC) |
Keyword(2) |
cellular network |
Keyword(3) |
resource allocation |
Keyword(4) |
optimization |
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Ryuji Kobayashi |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Koichi Adachi |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2018-10-31 10:25:00 |
Presentation Time |
60 minutes |
Registration for |
SR |
Paper # |
SR2018-75 |
Volume (vol) |
vol.118 |
Number (no) |
no.274 |
Page |
pp.37-38 |
#Pages |
2 |
Date of Issue |
2018-10-23 (SR) |
|