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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SIP, IT 2022-01-20
15:10
Online Online [Invited Talk] Wireless link quality prediction using physical space information in Society 5.0
Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] IT2021-44 SIP2021-52 RCS2021-212
pp.93-94
RISING
(3rd)
2021-11-16
11:30
Tokyo
(Primary: On-site, Secondary: Online)
Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Satoshi Nakaniida, Takeo Fujii (UEC)
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more]
SR 2021-11-05
11:15
Online Online Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Satoshi Nakaniida, Takeo Fujii (UEC) SR2021-53
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more] SR2021-53
pp.72-78
ASN 2019-01-29
14:25
Kagoshima Kyuukamura Ibusuki [Poster Presentation] The Influence on Network Characteristics by CW Value and Proposal of Analytical Expression in the IEEE 802.11p EDCA
Shintaro Ikuma, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) ASN2018-96
Many throughput analyses of IEEE 802.11p Enhanced Distributed Channel Access (EDCA), which is standardization for vehi-c... [more] ASN2018-96
pp.95-100
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-11
13:35
Hokkaido Hakodate Arena Throughput Prediction Method based on machine learning in Mobile Networks
Bo Wei, kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.) NS2018-42
Throughput prediction is essential for providing high quality of service for video streaming transmissions. In this pape... [more] NS2018-42
pp.31-36
MoNA 2018-01-19
12:05
Kyoto Campus Plaza Kyoto Machine learning-based throughput prediction using communication quality in mobile networks
Bo Wei, Kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.) MoNA2017-53
Throughput prediction contributes a lot to bitrate control technique, to improve user experience of video streaming. Exi... [more] MoNA2017-53
pp.69-72
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-19
15:10
Hokkaido Hokkaido Univ. [Invited Talk] A Study on Fast Throughput Prediction Using Probability Distribution for IEEE 802.11 Wireless LAN
Chisa Takano (Hiroshima City Univ.), Ryo Hamamoto (NEC), Hiroyasu Obata, Kenji Ishida (Hiroshima City Univ.) SR2017-32
In order to construct optimum Wireless Local Area Network(WLAN) communication environments, an Access Point (AP) placeme... [more] SR2017-32
pp.53-60
NS, ASN, RCC, RCS, SR
(Joint)
2017-07-21
15:00
Hokkaido Hokkaido Univ. Throughput Analysis of CSMA/CA-based MAC with Binary Backoff in Full Duplex WLAN
Kosuke Sanada, Kazuo Mori (Mie Univ.) RCC2017-50 NS2017-67 RCS2017-142 SR2017-65 ASN2017-58
This paper proposes analytical expressions of carrier sense multiple access with collision avoidance (CSMA/CA) based med... [more] RCC2017-50 NS2017-67 RCS2017-142 SR2017-65 ASN2017-58
pp.203-208(RCC), pp.193-198(NS), pp.257-262(RCS), pp.215-220(SR), pp.229-234(ASN)
ICM 2017-07-07
14:20
Hokkaido   Throughput Analysis within a Mobile Wireless Cell on LTE network
Koji Hayashi, Takumi Miyoshi (Shibaura Inst. of Tech.) ICM2017-17
Recently, mobile communication traffic has been rapidly increasing due
to the popularization of smartphones. In the mob... [more]
ICM2017-17
pp.73-76
ICM 2017-03-10
15:10
Okinawa Miyakojima Marine Terminal Bldg. [Encouragement Talk] Energy Estimation Model Considering Dynamic Throughput Fluctuation for Green Video Delivery
Sakiko Takenaka, Kenji Kanai, Jiro Katto (Waseda Univ.), Tsutomu Murase (Nagoya Univ.) ICM2016-63
Considering mobile throughput fluctuation is important to provide comfortable and energy-friendly video delivery for mob... [more] ICM2016-63
pp.57-62
NS, CQ, ICM, NV
(Joint)
2016-11-24
10:35
Yamaguchi Shimonoseki Chember of Commerce and Industry [Encouragement Talk] Characteristic Analysis and Prediction Method of P2PTV Traffic
Naoki Takeuchi, Takumi Miyoshi (Shibaura Inst. Tech.), Olivier Fourmaux (UPMC) NS2016-103
In recent years, video traffic has been increasing due to the huge demands of video streaming services. Peer-to-peer (P2... [more] NS2016-103
pp.13-18
NS, IN
(Joint)
2016-03-04
13:30
Miyazaki Phoenix Seagaia Resort Prediction Accuracy Evaluations of Mobile Throughput Achieved by Different Video Buffering Strategies
Makoto Nobe, Kenji Kanai, Jiro Katto (Waseda Univ.) NS2015-237
Appropriate history data collection (e.g., throughput) is important for mobile throughput prediction because communicati... [more] NS2015-237
pp.399-403
IN, NV
(Joint)
2015-07-17
15:45
Hokkaido Hokkaido University A Performance Study on Throughput Prediction Method for Access Point over Multi-rate Wireless LAN environment
Ryo Hamamoto, Chisa Takano, Hiroyasu Obata, Kenji Ishida (Hiroshima City Univ.) IN2015-35
Wireless Local Area Networks (WLANs) based on IEEE 802.11 standard have been spreading rapidly. Here, the throughput pre... [more] IN2015-35
pp.73-78
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
MoNA, CQ
(Joint)
2014-09-11
11:15
Miyagi   An adaptive buffer control technique based on long-term throughput prediction for robust video streaming
Kenji Kanai, Hidenori Konishi, Yuya Ishizu, Jiro Katto (Waseda Univ.) MoNA2014-32
In this paper, we propose an adaptive buffer control technique for robust video streaming. Our approach has two elements... [more] MoNA2014-32
pp.7-12
IN 2014-06-26
13:45
Kagawa Kagawa Univ. An Adaptive Selection Mechanism of Prediction Formulas for High Speed Throughput Prediction Method of Access Point in Multi-rate WLAN Environment
Ryo Hamamoto, Chisa Takano, Hiroyasu Obata, Kenji Ishida (Hiroshima City Univ.) IN2014-18
With improvement of the mobile technology such as the smartphones, the tablets and mobile access points (APs), the Wirel... [more] IN2014-18
pp.13-18
SR 2014-05-22
12:45
Kanagawa Toshiba Education & Training Institute [Technology Exhibit] Development of QoE-oriented wireless LAN system
Kazuto Yano, Mariko Sekiguchi, Tomohiro Miyasaka, Masayuki Ariyoshi, Kiyoshi Kobayashi (ATR) SR2014-4
In order to provide enough level of quality of experience (QoE) to more applications with more importance operating on a... [more] SR2014-4
pp.23-30
RCS, SR, SRW
(Joint)
2014-03-05
08:45
Tokyo Waseda Univ. Evaluation of QoE Satisfaction Improvement by QoE-Oriented WLAN System under an Evacuation Center Scenario
Kazuto Yano, Tomohiro Miyasaka, Mariko Sekiguchi, Masayuki Ariyoshi, Kiyoshi Kobayashi (ATR) SR2013-116
In order to provide enough level of QoE (quality of experience) to more applications with more importance operating on a... [more] SR2013-116
pp.137-144
SR 2014-01-24
09:00
Miyagi Tohoku Univ. Improved WLAN load capacity prediction using the ratio of application QoE satisfaction
Kazuto Yano, Mariko Sekiguchi, Masayuki Ariyoshi, Kiyoshi Kobayashi (ATR) SR2013-85
In order to provide enough level of QoE to more applications with more importance operating on a shared frequency band, ... [more] SR2013-85
pp.43-50
NS, CQ, ICM, NV
(Joint)
2013-11-15
14:55
Nagasaki Goto Islands A Study of Mobile Performance Prediction to Control Wasteful Video Delivery toward GreenICN
Haruki Izumikawa, Hidenori Konishi, Jiro Katto (Waseda Univ.) NS2013-131
With the increasing demand for the energy-efficient communications, we have been tackling the research on the efficient ... [more] NS2013-131
pp.87-90
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