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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, RCS
(Joint)
2023-12-15
13:25
Fukuoka Kyushu Institute of Technology Tobata campus, and Online
(Primary: On-site, Secondary: Online)
[Invited Talk] Research Topics in Programmable Data Planes
Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) NS2023-146 RCS2023-200
The processing speed of the CPU, which has been a promising platform for packet processing, cannot keep up with the incr... [more] NS2023-146 RCS2023-200
p.119(NS), p.122(RCS)
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
NS, IN
(Joint)
2020-03-05
11:00
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Evaluation on File Transfer Methods Considering Demand Intensity Applied to Neighbor Cooperative Data Offloading Systems
Kai Tsujimura, Junichi Funasaka (Hiroshima City Univ) IN2019-97
Conventional data offload methods using short-range communication have not taken into account multiple contents with dif... [more] IN2019-97
pp.127-132
KBSE, SC 2018-11-10
10:00
Hyogo   Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications
Yoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda, Tatsuya Demizu (NTT) KBSE2018-37 SC2018-32
For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand an... [more] KBSE2018-37 SC2018-32
pp.53-58
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
NS, IN
(Joint)
2018-03-02
09:00
Miyazaki Phoenix Seagaia Resort Neighbour Cooperative Data Offloading System with Location-based Peer-to-peer Network
Kazuma Asano, Satoshi Arai (Shibaura Inst. Tech.), Taku Yamazaki (Waseda Univ.), Yusuke Shimomura, Takumi Miyoshi (Shibaura Inst. Tech.) NS2017-191
The development of high speed mobile communication networks such as LTE (long term evolution) and the popularization of ... [more] NS2017-191
pp.135-140
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
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
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2016-08-10
10:00
Nagano Kissei-Bunka-Hall (Matsumoto) A Low-Latency Offloading for Spark Streaming Using FPGA NIC
Kohei Nakamura, Ami Hayashi, Hiroki Matsutani (Keio Univ.) CPSY2016-31
(To be available after the conference date) [more] CPSY2016-31
pp.211-216
RCS, RCC, ASN, NS, SR
(Joint)
2016-07-22
14:10
Aichi   Proposal of Access Point (AP) location algorithm based on High Density User Areas in Adaptive Movable AP Systems
Daisuke Goto, Takuto Arai, Masashi Iwabuchi, Tatsuhiko Iwakuni, Kazuki Maruta (NTT) RCS2016-125
We proposed Adaptive Movable Access Point System (AMAP) which controls APs locations for improvement of traffic offload ... [more] RCS2016-125
pp.159-164
IN 2016-06-16
14:30
Shizuoka Shizuoka Univ. (Hamamatsu) [Invited Talk] A Study on Mobile Data 3D Offloading
Hiroshi Mineno (Shizuoka Univ.) IN2016-21
The rapid growth of smartphone and the wide development of heterogeneous IoT systems have changed the traffic pattern of... [more] IN2016-21
pp.35-40
IN, RCS
(Joint)
2016-05-20
15:15
Tokyo Kikai-Shinko-Kaikan Bldg. AMAP: Adaptive Movable Access Point System for Offloading Efficiency Enhancement
Takuto Arai, Daisuke Goto, Masashi Iwabuchi, Tatsuhiko Iwakuni, Kazuki Maruta (NTT) RCS2016-43
Offloading data traffic is one of the most important solutions for cellular system congestion. Congestion of the cellula... [more] RCS2016-43
pp.107-112
CQ 2015-07-06
14:40
Nara Nara Institute of Science and Technology [Invited Talk] Toward Development of DTN Applications
Shigeru Kashihara (NAIST) CQ2015-30
Delay-/Disruption-Tolerant Network (DTN) is expected as a network that supplements difficult environments for making com... [more] CQ2015-30
pp.55-60
RECONF, CPSY, VLD, IPSJ-SLDM [detail] 2015-01-30
14:00
Kanagawa Hiyoshi Campus, Keio University Acceleration of Big Data Partitioning with Multiple FPGA boards
Ryu Kudo, Saori Sudo, Yasin Oge (UEC), Yuta Terada (AVAL DATA), Masato Yoshimi, Hidetsugu Irie, Tsutomu Yoshinaga (UEC) VLD2014-143 CPSY2014-152 RECONF2014-76
Data volume and diversity that we treat have been increasing rapidly because of increasing popularity of the internet an... [more] VLD2014-143 CPSY2014-152 RECONF2014-76
pp.193-198
IN, MoNA
(Joint)
2014-11-18
16:40
Yamaguchi Simonosekishi-Kinro-Fukushi-Kaikan Improvement of Estimation Accuracy in Available Throughput Estimation Method
Kei Ogawa (Tokyo Tech), Shigeru Kashihara (NAIST), Katsuyoshi Iida (Tokyo Tech) MoNA2014-50
Mobile network operators begin to introduce data offloading in order to mitigate the congestion of cellular networks. As... [more] MoNA2014-50
pp.9-14
ICM 2014-03-14
14:00
Okinawa   [Encouragement Talk] Proposal of Distributed Method for Network Configuration Management Function using Graph Database
Jun Matsuno, Masanori Miyazawa, Michiaki Hayashi (KDDI lab) ICM2013-70
Today, network management data keeps increasing, and network management systems need to manage handling the growing data... [more] ICM2013-70
pp.109-114
RCS, SIP 2014-01-23
16:30
Fukuoka Kyushu Univ. TDD/FDD Dual Mode LTE Communication System for TV White-spaces (2) -- Development of a White Space Database System for LTE --
Kazuo Ibuka, Takeshi Matsumura, Kentaro Ishizu, Homare Murakami, Hiroshi Harada (NICT) SIP2013-100 RCS2013-270
Recently, since mobile terminals such as smart phones which lead a large amount of network access has become widely used... [more] SIP2013-100 RCS2013-270
pp.89-94
NS, CQ, ICM, NV
(Joint)
2013-11-15
09:50
Nagasaki Goto Islands Evaluation of Distributed Graph Database for Network Information Management
Jun Matsuno, Masanori Miyazawa, Michiaki Hayashi (KDDI R&D Labs) ICM2013-33
Network operation has been performed by a central management system in the past. However, network management information... [more] ICM2013-33
pp.57-62
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