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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2024-03-01 15:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Performance Improvement for Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.)  AI2023-42 |
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] | AI2023-42 pp.31-36 |
| NS, RCS (Joint) |
2023-12-15 16:20 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Placement Algorithms for Wi-Fi Access Points in Mobile Data Offloading Akihiro Kanda, Ken'ichi Kawanishi (Gunma Univ) NS2023-155 |
When using a mobile device outdoors, mobile data offloading technology allows us to reduce load in cellular networks by ... [more] | NS2023-155 pp.169-174 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Task Offloading for High-accuracy Computing in Mobile Edge-Quantum Computing Shimba Nozaki, Takuji Tachibana (Univ. Fukui) |
Because future applications with machine learning and AI require more sophisticated and faster computational processing... [more] |
|
| IN, NS (Joint) |
2023-03-02 13:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Task offloading and scheduling with edge-peer computing in multi-stage Information processing system to improve progress of computing process Hidetoshi Asao (NU), Yukinobu Fukushima (OU), Celimuge Wu (UEC), Yusheng Ji (NII), Tutomu murase (NU) IN2022-79 |
In this paper, we propose a distributed processing control method that improves the total sum of accuracy by offloading ... [more] | IN2022-79 pp.80-84 |
| RCS, SR, SRW (Joint) |
2021-03-03 10:35 |
Online | Online | Context-Based MEC Platform for Augmented-Reality Services in 5G Networks Yue Wang, Tao Yu, Kei Sakaguchi (Tokyo Tech) RCS2020-211 |
Augmented reality (AR) has drawn great attention in recent years. However, current AR implementations have drawbacks, e.... [more] | RCS2020-211 pp.49-54 |
| RCS, SAT (Joint) |
2019-08-23 14:50 |
Aichi | Nagoya University | [Invited Lecture]
A study of satellite 5G Eiji Okamoto (NITech) SAT2019-44 RCS2019-173 |
In the fifth generation mobile communications system (5G), in addition to the expansion of use cases, it is also conside... [more] | SAT2019-44 RCS2019-173 p.133(SAT), p.131(RCS) |
| CAS, CS | 2019-03-08 15:50 |
Kanagawa | Shonan Institute of Technology | [Special Invited Talk]
Development situation of RF analog co-Installed SoC for "60 GHz Band High Rate Close Proximity Radio System" and its conformity plan to various applications Toru Taniguchi (HRCP) CAS2018-146 CS2018-114 |
In this paper, we introduce the status of LSI development that conforms to the "60 GHz band high speed proximity wireles... [more] | CAS2018-146 CS2018-114 pp.41-46 |
| ICM | 2019-03-08 09:40 |
Okinawa | A Task Offloading Method Considering Mobility and Turning Behavior in Mobile-Edge Computing Architectures Hiroya Matsumoto, Osamu mizuno, Bo Gu (Kogakuin Univ) ICM2018-58 |
Task offloading, that mobile nodes offload computational tasks to adjacent edge nodes (ENs) with excessive computing res... [more] | ICM2018-58 pp.49-54 |
|
| CQ, ICM, NS, NV (Joint) |
2018-11-16 10:30 |
Ishikawa | A Task Offloading Method Considering Mobility in Mobile-Edge Computing Architectures Hiroya Matsumoto, Osamu Mizuno, Bo Gu (Kogakuin Univ.) CQ2018-72 |
Task offloading， that mobile nodes offload computational tasks to adjacent edge nodes (ENs) with excessive computing res... [more] | CQ2018-72 pp.49-54 |
|
| SR | 2018-10-30 09:50 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Invited Talk]
Deep Reinforcement Learning Applications in Telecommunications Cheng Zhang (Waseda Univ.) SR2018-91 |
In this paper, the definition of deep reinforcement learning, and its difference with deep learning are introduced first... [more] | SR2018-91 p.87 |
| SR | 2018-10-31 10:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
Computational Capability and Radio Resource Allocation for Mobile Edge Computing Ryuji Kobayashi, Koichi Adachi (UEC) SR2018-75 |
Due to the rapid advancement of the computing power of mobile devices, the interest in mobile applications and services ... [more] | SR2018-75 pp.37-38 |
| ASN, NS, RCS, SR, RCC (Joint) |
2018-07-13 09:30 |
Hokkaido | Hakodate Arena | [Encouragement Talk]
Trends of New Application Fields of Mobile Edge Computing Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2018-70 |
Mobile edge computing is expected to be an architecture that reduces terminal load and application delay by placing co... [more] |
NS2018-70 pp.155-159 |
| CQ | 2018-05-31 15:05 |
Chiba | Chiba Univ. Nishi-Chiba Campus, academic link center | [Invited Talk]
Mobile Edge Computing in Vehicular Environment
-- Multi-access and Task Scheduling -- Yusheng Ji (NII), Jingyun Feng (SOKENDAI), Zhi Liu (Shizuoka U.), Celimuge Wu (UEC) CQ2018-20 |
In future mobility world with autonomous driving cars, there would be more and more demands on all kinds of information ... [more] | CQ2018-20 pp.13-17 |
| RCS, SR, SRW (Joint) |
2018-03-01 15:40 |
Kanagawa | YRP | [Invited Talk]
60 GHz Band High Rate Close Proximity Radio System conforming to the IEEE 802.15.3e standard and extended its application Toru Taniguchi (HRCP) RCS2017-370 SR2017-128 SRW2017-86 |
The outline of "60 GHz band High Rate Close Proximity Radio System" which completed international standardization as IEE... [more] | RCS2017-370 SR2017-128 SRW2017-86 pp.283-288(RCS), pp.75-80(SR), pp.81-86(SRW) |
| MoNA, ASN, IPSJ-MBL, IPSJ-UBI [detail] | 2018-02-26 14:25 |
Tokyo | Sophia University | Evaluation of Mobile Data Offloading Method Using Deep Reinforcement Learning Daisuke Mochizuki, Yu Abiko (Shizuoka Univ.), Takato Saito, Masaji Katagiri, Daizo Ikeda (NTT DOCOMO), Hiroshi Mineno (Shizuoka Univ.) MoNA2017-65 |
In recent years, the demand for mobile data communication has been increasing as the technologies of IoT have been widel... [more] | MoNA2017-65 pp.141-146 |
| MoNA | 2018-01-19 17:10 |
Kyoto | Campus Plaza Kyoto | Investigation of Mobile Data Offloading Method Based on Handover Control Considering Delay Tolerance Yu Abiko, Daisuke Mochizuki (Shizuoka Univ.), Takato Saito, Masaji Katagiri, Daizo Ikeda (NTT DOCOMO), Hiroshi Mineno (Shizuoka Univ.) MoNA2017-62 |
In recent years, the demand for mobile data communication has increased due to rapid popularization of smartphones and I... [more] | MoNA2017-62 pp.115-120 |
| ICM, CQ, NS, NV (Joint) |
2017-11-16 12:10 |
Kagawa | Proposal on New Application Field of Mobile Edge Computing Takamitsu Iwai, Akihiro Nakao (UTokyo) NS2017-117 |
Mobile Edge Computing (MEC) is expected to enable reduction of latency in communication and offload of data processing t... [more] | NS2017-117 pp.33-38 |
|
| RCS | 2017-10-20 15:15 |
Miyagi | Tohoku Institute of Technology | [Invited Lecture]
Extended Utilization and its Potential of 60 GHz Band High Rate Close Proximity Radio System Toru Taniguchi (JRC) RCS2017-198 |
Extended Utilization and its Potential of 60 GHz Band High Rate Close Proximity Radio System [more] |
RCS2017-198 pp.167-172 |
| CS, CQ (Joint) |
2017-04-21 15:35 |
Hokkaido | Chitose Institute of Science and Technology | Economic Analysis of Carrier-grade Wirless Local Area Network Deployment Cheng Zhang (Waseda Univ.), Bo Gu (Kogakuin Univ.), Zhi Liu (Shizuoka Univ.), Kyoko Yamori (Asahi Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2017-13 |
With rapid increases in demand for mobile data, mobile data offloading by deploying wireless local area network (LAN) ac... [more] | CQ2017-13 pp.65-68 |
| CQ | 2017-01-19 14:40 |
Osaka | Osaka University Nakanoshima Center | Markov Decision Process Assisted User Multi-flow Mobile Data Offloading Cheng Zhang (Waseda Univ.), Bo Gu (Kogakuin Univ.), Zhi Liu (Waseda Univ.), Kyoko Yamori (Asahi Univ./Waseda Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2016-94 |
With rapid increases in demand for mobile data, mobile network operators are trying to expand wireless network capacity ... [more] | CQ2016-94 pp.25-30 |
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