| 講演名 | 2018-10-31 [Poster Presentation] Computational Capability and Radio Resource Allocation for Mobile Edge Computing 小林 龍司(電通大), 安達 宏一(電通大), |
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| PDFダウンロードページ |  PDFダウンロードページへ |
| 抄録(和) | |
| 抄録(英) | 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. |
| キーワード(和) | |
| キーワード(英) | Mobile edge computing (MEC)cellular networkresource allocationoptimization |
| 資料番号 | SR2018-75 |
| 発行日 | 2018-10-23 (SR) |
| 研究会情報 | |
| 研究会 | SR |
|---|---|
| 開催期間 | 2018/10/30(から2日開催) |
| 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 |
| 委員長氏名（和） | 梅林 健太(東京農工大) |
| 委員長氏名（英） | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) |
| 副委員長氏名（和） | 有吉 正行(NEC) / 亀田 卓(東北大) |
| 副委員長氏名（英） | Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) |
| 幹事氏名（和） | 石津 健太郎(NICT) / 矢野 一人(ATR) / 石橋 功至(電通大) |
| 幹事氏名（英） | Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Koji Ishibashi(Univ. of Electro-Comm.) |
| 幹事補佐氏名（和） | Gia Khanh Tran(東工大) / 成枝 秀介(三重大) / 大島 浩嗣(構造計画研) / 太田 真衣(福岡大) / 大山 哲平(富士通研) |
| 幹事補佐氏名（英） | Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Smart Radio |
|---|---|
| 本文の言語 | ENG |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | [Poster Presentation] Computational Capability and Radio Resource Allocation for Mobile Edge Computing |
| サブタイトル（和） | |
| キーワード(1)（和/英） | / Mobile edge computing (MEC)cellular networkresource allocationoptimization |
| 第 1 著者 氏名（和/英） | 小林 龍司 / Ryuji Kobayashi |
| 第 1 著者 所属（和/英） | 電気通信大学(略称：電通大) The University of Electro-Communications(略称：UEC) |
| 第 2 著者 氏名（和/英） | 安達 宏一 / Koichi Adachi |
| 第 2 著者 所属（和/英） | 電気通信大学(略称：電通大) The University of Electro-Communications(略称：UEC) |
| 発表年月日 | 2018-10-31 |
| 資料番号 | SR2018-75 |
| 巻番号（vol） | vol.118 |
| 号番号（no） | SR-274 |
| ページ範囲 | pp.37-38(SR), |
| ページ数 | 2 |
| 発行日 | 2018-10-23 (SR) |