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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
OCS, NS, PN
(Joint)
2016-06-24
14:15
Hokkaido Hokkaido University Queuinig Analysis of OpenFlow-based Switch Model
Yuki Goto, Hiroyuki Masuyama (Kyoto Univ.), Bryan Ng, Winston K. G. Seah (VUW), Yutaka Takahashi (Kyoto Univ.) NS2016-43
(Advance abstract in Japanese is available) [more] NS2016-43
pp.85-90
RCS, NS
(Joint)
2013-12-19
10:00
Kagawa Sunport Hall Takamatsu Performance Analysis of Spectrum Sensing Schemes for Cognitive Radio Networks: Concentrated Sensing and Parallel Sensing
Haruki Katayama, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2013-137
In cognitive radio networks, secondary users detect available spectrum channels by spectrum sensing. Cooperative sensing... [more] NS2013-137
pp.19-24
NS, IN
(Joint)
2013-03-07
09:00
Okinawa Okinawa Zanpamisaki Royal Hotel Dynamic Spectrum Handoff Scheme with Probabilistic Re-sensing for Autonomous Cognitive Radio Networks and Its Effect on Throughput Performance
Yasuharu Konishi, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2012-165
Cognitive radio (CR) enables the secondary usage in temporal unused portions of licensed spectrum. In autonomous CRNs, S... [more] NS2012-165
pp.1-6
NS, IN
(Joint)
2013-03-07
09:20
Okinawa Okinawa Zanpamisaki Royal Hotel Effect of Spectrum-Sensing Error on Throughput Performance of Cognitive Radio Networks
Kiwamu Yamamoto, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2012-166
In this paper, we consider the effect of sensing error on the
throughput performance of cognitive radio networks. In g... [more]
NS2012-166
pp.7-12
NS, IN
(Joint)
2013-03-07
09:40
Okinawa Okinawa Zanpamisaki Royal Hotel Internet-Traffic Identification using Regenerative On-Off Arrival Processes
Kenzo Hara, Hiroyuki Masuyama (Kyoto Univ.), Shoji Kasahara (NAIST), Yutaka Takahashi (Kyoto Univ.) NS2012-193
It is significantly important to capture the long-term correlation structure in modeling the Internet traffic. In this p... [more] NS2012-193
pp.163-168
NS, IN
(Joint)
2012-03-08
11:00
Miyazaki Miyazaki Seagia Analytical study of feedback-based rate control at application layer for video streaming services
Marino Mitsumura, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2011-215
We consider the effect of feedback-based rate controls on video quality from queueing theoretical point of view. We mode... [more] NS2011-215
pp.203-208
NS, IN
(Joint)
2012-03-09
13:50
Miyazaki Miyazaki Seagia On the Internet Traffic Identification by a Batch-On-Off Arrival Process
Kenzo Hara, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2011-250
Traffic modeling plays an important role for performance evaluation of
computer/communication network systems. As is w... [more]
NS2011-250
pp.397-402
NS, RCS
(Joint)
2011-12-15
14:05
Yamaguchi Yamaguchi University Dynamic Spectrum Access with Variable Bandwidth Demand of Secondary Users for Cognitive Radio Networks
Yasuharu Konishi, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2011-128 RCS2011-241
In cognitive-radio (CR) networks, available sub-channels are dynamically assigned to the secondary users (SUs). However,... [more] NS2011-128 RCS2011-241
pp.55-60(NS), pp.51-56(RCS)
IN, NS
(Joint)
2011-03-04
10:20
Okinawa Okinawa Convention Center A Parameter Fitting Algorithm for Extended Discrete Autoregressive Model of Order One and Its Application to Network Traffic Modeling
Chihiro Yoshihara, Hiroyuki Masuyama, Shunsuke Hayashi, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2010-283
The extended discrete autoregressive model of order one (XDAR(1)) is known to be one of the most tractable arrival proce... [more] NS2010-283
pp.681-686
IN, NS
(Joint)
2011-03-04
11:00
Okinawa Okinawa Convention Center Performance Analysis of Data-Block Synchronization Mechanism for Coolstreaming -- Impact of Node Churn on Video Quality --
Sho Nanao, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2010-285
Coolstreaming is a mesh based peer-to-peer (P2P)
video streaming system in which a source node divides
a single vide... [more]
NS2010-285
pp.693-698
NS, CS, IN
(Joint)
2010-09-03
10:00
Miyagi Tohoku University Performance Comparison of Network Coding and Burst-Transmission Scheme for Multihop Wireless Networks
Takashi Yazane, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2010-62
In this paper, we compare the throughput performance of network coding with that of the burst transmission scheme for mu... [more] NS2010-62
pp.79-84
NS, IN
(Joint)
2010-03-04
09:40
Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) A Parameter Estimation Based on Variational Bayes Inference for a Superposition of 2-State BMAPs
Toshihiro Ito, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2009-189
 [more] NS2009-189
pp.159-164
NS, IN
(Joint)
2010-03-05
10:20
Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) Throughput Analysis of Burst Transmission in Multi-Hop Wireless LANs
Tomoya Tainaka, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2009-199
The burst transmission scheme based on the transmission opportunity (TXOP) is defined in the IEEE802.11e standard, with ... [more] NS2009-199
pp.211-216
NS, IN
(Joint)
2010-03-05
10:40
Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) A GI+M/MSP/1 Queue and Its Application to Block-Level Delay Analysis for Video Streaming Service over Wired-Wireless Networks
Hitoshi Wada, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2009-200
 [more] NS2009-200
pp.217-222
NS, IN
(Joint)
2010-03-05
11:40
Miyazaki Miyazaki Phoenix Seagaia Resort (Miyazaki) Performance Analysis of Synchronization Buffer for Coolstreaming -- Impact of the Number of Sub-Streams on Video Quality --
Sho Nanao, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2009-213
Coolstreaming is one of the Peer-to-Peer (P2P) based video streaming systems. In Coolstreaming, a single video stream is... [more] NS2009-213
pp.291-296
NS 2009-04-16
13:25
Tokyo Shibaura Institute of Technology (Tokyo) A GI+M/M/1 Queue and Its Application to Frame-Level Delay Analysis for High Bandwidth-Demanded Streaming Services
Kohei Ueda, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2009-2
In order to evaluate the quality of service (QoS) of video streaming services, most of previous work has focused on the ... [more] NS2009-2
pp.3-8
IN, NS
(Joint)
2009-03-03
10:00
Okinawa Okinawa-Zanpamisaki Royal Hotel On the performance of H.264/SVC-based video streaming services with FEC recovery
Kenji Kirihara, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2008-148
In this paper, we analyze the performance of Forward Error Correction (FEC) recovery over H.264/SVC-based video streami... [more] NS2008-148
pp.27-32
IN, NS
(Joint)
2009-03-03
08:20
Okinawa Okinawa-Zanpamisaki Royal Hotel A Time-Dependent User-Population Model and Its Application to User-Search Time Analysis for Hierarchical Peer-to-Peer Overlay Networks
Anditto Heristyo, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2008-165
 [more] NS2008-165
pp.123-128
CS, IN, NS
(Joint)
2008-09-12
10:40
Miyagi Tohoku University Analysis of Per-Flow Throughput Unfairness for IEEE802.11-based Multihop Wireless LANs
Tomoya Tainaka, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2008-56
In the IEEE 802.11 Distributed Coordination Function (DCF) MAC protocol, the four-way handshake mechanism based on the e... [more] NS2008-56
pp.81-86
CS, IN, NS
(Joint)
2008-09-12
11:00
Miyagi Tohoku University Performance Analysis of Peer-to-Peer Real-Time Communication Networks Using Time-Dependent Peer-Population Process -- An Approach by an Infinite Server Queue with a Nonstationary Poisson Process --
Kazuhiko Kuraya, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi (Kyoto Univ.) NS2008-57
Skype is a Peer-to-Peer (P2P) based Internet telephony service. In the Skype network, super nodes are chosen from among ... [more] NS2008-57
pp.87-92
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