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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ | 2018-07-20 13:50 |
Miyagi | Tohoku Univ. | Traffic Matrix Prediction based on Bidirectional Recurrent Neural Network and Long Short-Term Memory Van An Le, Phi Le Nguyen (Sokendai(The Graduate University for Advanced Studies)), Yusheng Ji (NII)  CQ2018-40 |
Accurate prediction of the future network traffic plays an important role in various network problems (e.g. traffic engi... [more] | CQ2018-40 pp.51-56 |
| SR | 2018-05-24 15:05 |
Tokyo | Tokyo big sight | A Study of Proactive Beam Forming Control using Machine Learning for 5G Mobile Communication System Takashi Seyama, Teppei Oyama, Takashi Dateki (Fujitsu Lab.) SR2018-7 |
In fifth generation mobile communication systems, beam forming have been studied in order to compensate increase of path... [more] | SR2018-7 pp.43-48 |
| RCS, SR, SRW (Joint) |
2018-02-28 15:40 |
Kanagawa | YRP | A community-based anomaly detection system by the synergetic use of mobile sensing and delay tolerant networks with cooperative data processing technique Yoshito Watanabe, Yozo Shoji (NICT) SR2017-115 |
This paper proposes a novel cooperative anomaly detection system that uses mobile sensing and delay tolerant network (DT... [more] | SR2017-115 pp.25-30 |
| RCS, SR, SRW (Joint) |
2018-03-02 11:15 |
Kanagawa | YRP | Prediction Scheme of WLAN Idle Status using Probabilistic Neural Network and Implementation on FPGA Julian Webber, Abolfazl Mehbodniya, Yafei Hou, Kazuto Yano, Makoto Usui, Tomoaki Kumagai (ATR) SR2017-134 |
WLAN traffic is becoming increasingly congested particularly in the 2.4,GHz band. Simultaneous utilization of multipl... [more] |
SR2017-134 pp.117-124 |
| MoNA | 2017-12-21 10:30 |
Tokyo | Ochanomizu University | Congestion Analysis of Variation in Network Traffic by DeepLearning Haruka Osanai, Masato Oguchi (Ochanomizu Univ.) MoNA2017-29 |
When a large scale disaster happens, it is important that we can communicate with other people by phone or e- mail. Howe... [more] | MoNA2017-29 pp.11-14 |
| ICM, CQ, NS, NV (Joint) |
2017-11-17 09:15 |
Kagawa | Packet Loss Rate Prediction based on Dictionary during Live Video Streaming Natsuki Kai, Hiroshi Yoshida, Koichi Nihei, Dai Kanetomo, Kozo Satoda (NEC Corp.) NS2017-122 |
Live streaming services via a mobile network have become very popular. However, playback distortion or playback interru... [more] |
NS2017-122 pp.61-66 |
|
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 15:05 |
Fukuoka | Kyusyu Univ. Ohashi Campus | A Study on Change-Point Prediction in Mobile Networks Shinya Wada, Yujin Tang (KDDI Research), Takahiro Matsuda (Osaka Univ.), Haruki Izumikawa, Chihiro Ono (KDDI Research), Tetsuya Takine (Osaka Univ.) CQ2016-118 |
Traffic volumes in mobile networks could be fluctuated spatiotemporally due to the change of communicational place and s... [more] | CQ2016-118 pp.43-47 |
| NS, IN (Joint) |
2017-03-03 11:40 |
Okinawa | OKINAWA ZANPAMISAKI ROYAL HOTEL | Reconstruction of Virtual Network by Bayesian Attractor Model Tatsuya Otoshi, Yuichi Ohshita, Masayuki Murata (Osaka Univ.) IN2016-129 |
Network Virtualization is expected to handle the various network traffic induced by such as IoT applications because a v... [more] | IN2016-129 pp.193-198 |
| CAS, CS | 2017-02-24 16:00 |
Shiga | A Back-Off based Semi-Markovian Model for Flooding in Ad Hoc Networks Pratikshya Shrestha, Megumi Saito, Zhenni Pan, Kang Kang, Shigeru Shimamoto (Waseda Univ.) CAS2016-135 CS2016-96 |
Reactive routing protocols in ad hoc networks do not maintain routes and keep the network silent when there is no traffi... [more] | CAS2016-135 CS2016-96 pp.117-122 |
|
| CQ | 2016-08-30 10:55 |
Ibaraki | Tsukubasan | Evaluation of the Communication System of Vehicle Location Information for Cooperative ITS via 4G/5G Mobile Network Makoto Fujinami, Yasuhiro Mizukoshi (NEC) CQ2016-62 |
In recent years, Vehicle to Vehicle (V2V) communication technology based on the Wi-Fi technology has been used for vehic... [more] | CQ2016-62 pp.77-81 |
| ITS | 2016-05-28 15:35 |
Hokkaido | Hokkaido Univ | Routing Algorithm for Constructing Stable Route Using Car Movement Prediction Model in VANET Ryo Yamamoto, Tatsuya Kiyooka, Ryuji Kohno (Yokohama Nat. Univ.) ITS2016-2 |
VANET which is the ad hoc network for inter-vehicle communication is one of the fields of ITS. Platoon driving to ease ... [more] |
ITS2016-2 pp.7-12 |
| RCS, CCS, SR, SRW (Joint) |
2016-03-04 16:20 |
Tokyo | Tokyo Institute of Technology | Access Point Allocation Scheme for Milli-meter Wave Wireless Local Area Network based on Estimated Trajectory of Users Junya Muneta (Osaka Univ.), Shinichi Miyamoto (Wakayama Univ.), Seiichi Sampei (Osaka Univ.) RCS2015-390 |
With the rapid increase of the amount of mobile traffic, millimeter-wave wireless local area network (WLAN), such as IEE... [more] | RCS2015-390 pp.333-338 |
| RCS, SR, SRW (Joint) |
2015-03-05 09:00 |
Tokyo | Tokyo Institute of Technology | Experimental Evaluation of the QoE-Oriented Wireless LAN with Dynamic Network Reconfiguration in Indoor Environment Kazuto Yano, Mariko Sekiguchi, Tomohiro Miyasaka (ATR), Tsukasa Kitagawa, Takashi Yamamoto, Hirotsugu Yamamoto, Yoshizo Tanaka, Yoji Okada (SEI), Masayuki Ariyoshi, Tomoaki Kumagai (ATR) SR2014-125 |
In order to provide sufficient level of quality of experience (QoE) to more applications with more importance operating ... [more] | SR2014-125 pp.77-84 |
| NS, IN (Joint) |
2015-03-03 10:50 |
Okinawa | Okinawa Convention Center | A Study of Routing Algorithm Based on Quality Prediction for Millimeter-Wave Wireless Links Riichiro Nagareda, Hiroshi Hanano, Akira Yamaguchi (KDDI Labs.) NS2014-233 |
Mobile operators usually use wired links as backhauls which connect base stations (BSs) and core networks (CNs). However... [more] | NS2014-233 pp.325-330 |
| CS, NS, IN (Joint) |
2014-09-12 15:50 |
Miyagi | Tohoku Univ. Research Institute of Electrical Communication 2gokan | A Study of Content Prefetch Method in Millimeter Wave Access Network Kenji Yokota, Atsushi Tagami (KDDI R&D Labs.), Katsunori Yamaoka (Tokyo Inst. of Tech.) IN2014-70 |
Offloading 3G/LTE mobile traffic onto other networks such as Wi-Fi is a major challenge that mobile carriers face. Mobil... [more] | IN2014-70 pp.129-134 |
| ITS, IEE-ITS, IPSJ-ITS | 2013-09-02 13:30 |
Tokyo | Real Time Traffic Prediction in Urban Traffic Networks Zilu Liang, Yasushi Wakahara (Univ. of Tokyo) ITS2013-13 |
Intelligent Transportation Systems (ITS) have been considered important technologies to deal with urban traffic congesti... [more] | ITS2013-13 pp.27-32 |
|
| MoNA, AN, USN (Joint) |
2013-01-25 15:25 |
Miyagi | ICHINOBO (Sendai-city) | Per-Service Queuing and Performance Analysis in Mobile Network Virtualization Lei Zhong, Kiyohide Nakauchi, Yozo Shoji, Nozomu Nishinaga (NICT) MoMuC2012-66 |
One of the promising applications of network virtualization is fine grained service differentiation and flexible quality... [more] | MoMuC2012-66 pp.119-124 |
| CQ, ICM, NS (Joint) |
2012-11-16 11:30 |
Shiga | Nagahama Inst. of Bio-Science and Tech. | On Finding Potential Investment Sites on WDM Equipments with Betweenness Centrality Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.), Takuya Miyashita (Fujitsu), Kazuyuki Tajima, Takao Naito (Fujitsu Lab.) ICM2012-36 |
On WDM optical networks, the explosive growth of traffic could require the reinforcement of the equipment investment in ... [more] | ICM2012-36 pp.41-44 |
| SR, AN, USN, RCS (Joint) |
2012-10-17 15:20 |
Fukuoka | Fukuoka univ. | Distributed Self-Learning SON Spectrum Management Ingo Karla (Alcatel-Lucent) SR2012-49 |
Cognitive radio spectrum management in diverse and heterogeneous cellular telecommunication environments has as a major ... [more] | SR2012-49 pp.79-85 |
| IN, IA (Joint) |
2011-12-16 11:25 |
Hiroshima | Hiroshima City University | Adaptive Short Term Prediction of JPIX Traffic Volume based on the Singular Value Decomposition Hirohisa Hamada, Hirotaka Ishibashi, Masato Yamashita, Kazuo Yana (Hosei Univ.) IN2011-116 |
This paper proposes an adaptive method for the JPIX (Japan Internet Exchange) network traffic prediction. Singular value... [more] | IN2011-116 pp.55-59 |
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