| Presentation | 2018-07-13 Computational Capability of MEC & UE and Wireless Channel Condition Based Resource Allocation for Data Processing Time Minimization Ryuji Kobayashi, Koichi Adachi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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 handle heavy applications such as augmented reality and image recognition, the concept of mobile edge computing(MEC) has attracted huge attention. A MEC server which can handle such heavy applications are located at the edge of the radio access network such as base stations. Thus, user equipments (UEs) can request the MEC server to process the task and get the response within short time. If multiple UEs possess the data that need to be processed by MEC server, the radio and computational resources need to be allocated to each UE by taking into account the wireless channel condition and the computational power of UEs and MEC. In this paper, we consider the allocation method of the radio and computation resources to minimize the processing completion time of computation task when the tasks can be divided. The processing completion time of the tasks are composed of three phases, uploading the tasks, executing the computation tasks at the MEC server, and returning the computation result after the processing at the MEC server. In addition, the UE itself can compute locally. For the formulated optimization problem, we propose a radio and computational resources allocation method using binary search method and Johnson’s algorithm. Our simulation result show that the proposed algorithm can reduce the task completion time up to 37% compared to theexisting methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Mobile edge computing / cellular network / resource allocation |
| Paper # | RCS2018-119 |
| Date of Issue | 2018-07-04 (RCS) |
| Conference Information | |
| Committee | ASN / NS / RCS / SR / RCC |
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| Conference Date | 2018/7/11(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hakodate Arena |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT（Internet of Things）, etc. |
| Chair | Hiraku Okada(Nagoya Univ.) / Yoshikatsu Okazaki(NTT) / Tomoaki Otsuki(Keio Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Kazunori Hayashi(Osaka City Univ.) |
| Vice Chair | Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Akihiro Nakao(Univ. of Tokyo) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
| Secretary | Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Akihiro Nakao(NTT) / Eisuke Fukuda(Osaka Pref Univ.) / Satoshi Suyama(Hokkaido Univ.) / Fumiaki Maehara(NTT) / Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) / Shunichi Azuma(Univ. of Electro-Comm.) / HUAN-BANG LI(Kagawa Univ.) |
| Assistant | Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Kenichi Kashibuchi(NTT) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Network Systems / Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Computational Capability of MEC & UE and Wireless Channel Condition Based Resource Allocation for Data Processing Time Minimization |
| Sub Title (in English) | |
| Keyword(1) | Mobile edge computing |
| Keyword(2) | cellular network |
| Keyword(3) | resource allocation |
| Keyword(4) | |
| 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) |
| Date | 2018-07-13 |
| Paper # | RCS2018-119 |
| Volume (vol) | vol.118 |
| Number (no) | RCS-125 |
| Page | pp.pp.189-194(RCS), |
| #Pages | 6 |
| Date of Issue | 2018-07-04 (RCS) |