| Presentation | 2018-10-31 [Poster Presentation] Computational Capability and Radio Resource Allocation for Mobile Edge Computing 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 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) |
| Keyword(in English) | Mobile edge computing (MEC)cellular networkresource allocationoptimization |
| Paper # | SR2018-75 |
| Date of Issue | 2018-10-23 (SR) |
| Conference Information | |
| Committee | SR |
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| Conference Date | 2018/10/30(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Mandarin Hotel, Bangkok, Thailand |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SmartCom2018 |
| Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) |
| Vice Chair | Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) |
| Secretary | Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) |
| Assistant | Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Computational Capability and Radio Resource Allocation for Mobile Edge Computing |
| Sub Title (in English) | |
| Keyword(1) | Mobile edge computing (MEC)cellular networkresource allocationoptimization |
| 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 | 2018-10-31 |
| Paper # | SR2018-75 |
| Volume (vol) | vol.118 |
| Number (no) | SR-274 |
| Page | pp.pp.37-38(SR), |
| #Pages | 2 |
| Date of Issue | 2018-10-23 (SR) |