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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 236件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2020-01-31
10:00
Kagawa   [Poster Presentation] Sequential WLAN Channel Selection for Mitigating Performance Degradation of Factors Outside System
Kazuki Ohtsu, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.), Noriyasu Kato (Allied Telesis)
 [more]
SeMI 2020-01-31
10:00
Kagawa   [Poster Presentation] A Study for Knowlage Distillation Based Semi-Supervised Federated Learning with Low Communication Cost
Souhei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ)
 [more]
SeMI 2020-01-31
10:00
Kagawa   [Poster Presentation] Experimental Evaluation of Federated Learning in Real Networks
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.)
 [more]
RISING
(2nd)
2019-11-26
14:10
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] A Study for Knowlage Distillation Based Semi-Supervised Federated Learning with Low Communication Cost
Sohei Itahara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ)
Federated Learning is a decentralized learning mechanism, which enables to train machine learning (ML) model using the r... [more]
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Handover Control for mmWave Networks with Proactive Performance Prediction Using Depth Images and Deep Reinforcement Learning
Yusuke Koda, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.)
 [more]
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] A Study of mmWave Received Power Prediction from Depth Images
Takayuki Nishio, Koji Yamamoto, Masahiro Morikura (Kyoto Univ.)
 [more]
SRW, SeMI, CNR
(Joint)
2019-11-06
13:25
Tokyo Kozo Keisaku Engineering Inc. [Poster Presentation] A Study of Received Power Prediction Using Ray-tracing Simulation and Deep Learning for mmWave Communications
Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SRW2019-34 SeMI2019-78 CNR2019-28
Machine learning based received power prediction has been studied. These methods learn Features such as surrounding map ... [more] SRW2019-34 SeMI2019-78 CNR2019-28
pp.53-54(SRW), pp.73-74(SeMI), pp.51-52(CNR)
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs -- Investigation of sampling method of replay buffer --
Kota Nakashima, Shotaro Kamiya, Ohtsu Kazuki, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.)
We have proposed the deep reinforcement learning-based channel allocation approach for wireless area local networks to i... [more]
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Improving Learning Efficiency of Graph-Based Reinforcement Learning for Wireless LAN Channel Selection
Kazuki Ohtsu, Shotaro Kamiya, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.)
This report proposes to improve learning efficiency with graph isomorphism for reinforcement learning-based wireless loc... [more]
RCS 2019-06-19
14:55
Okinawa Miyakojima Hirara Port Terminal Building Policy Gradient Reinforcement Learning for Reducing Transmission Delay in EDCA
Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) RCS2019-52
This paper proposes a packet mapping algorithm among Access Categories (ACs) in Enhanced Distributed Channel Access (EDC... [more] RCS2019-52
pp.91-96
RCS 2019-06-19
15:05
Okinawa Miyakojima Hirara Port Terminal Building Joint Channel Control and Spatial Reuse Towards Starvation Mitigation in WLANs
Hiroyasu Shimizu, Bo Yin, Koji Yamamoto (Kyoto Univ.), Hirantha Abeysekera (NTT) RCS2019-53
This paper proposes a decentralized scheme to improve the energy efficiency (EE) in dense wireless local area networks (... [more] RCS2019-53
pp.97-102
RCS 2019-06-19
15:15
Okinawa Miyakojima Hirara Port Terminal Building A Study for Improving Prediction Accuracy on Federated Learning with Non-IID Data in Wireless Networks
Naoya Yoshida, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.), Ryo Yonetani (OMRON SINIC X Corp.) RCS2019-54
Federated Learning (FL) is a decentralized learning mechanism, which enables to train machine learning (ML) model using ... [more] RCS2019-54
pp.103-108
RCS 2019-06-19
15:25
Okinawa Miyakojima Hirara Port Terminal Building Optimal Path Learning for mmWave Communications in Smart Factory
Mayu Mieda, Shotaro Kamiya, Kota Nakashima, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) RCS2019-55
 [more] RCS2019-55
pp.109-112
RCS, IN, NV
(Joint)
2019-05-16
13:45
Kanagawa Keio University [Tutorial Lecture] Frameworks Against Uncertainty in WLANs: Part1 Resource Management for WLANs
Koji Yamamoto (Kyoto Univ.) IN2019-4 RCS2019-25
 [more] IN2019-4 RCS2019-25
p.17(IN), p.29(RCS)
RCS, IN, NV
(Joint)
2019-05-16
14:10
Kanagawa Keio University [Tutorial Lecture] Frameworks Against Uncertainty in WLANs: Part2 Stochastic Geometry
Koji Yamamoto (Kyoto Univ.) IN2019-5 RCS2019-26
 [more] IN2019-5 RCS2019-26
p.19(IN), p.31(RCS)
RCS, IN, NV
(Joint)
2019-05-16
14:35
Kanagawa Keio University [Tutorial Lecture] Frameworks Against Uncertainty in WLANs: Part3 Reinforcement Learning
Koji Yamamoto (Kyoto Univ.) IN2019-6 RCS2019-27
 [more] IN2019-6 RCS2019-27
p.21(IN), p.33(RCS)
RCS, SR, SRW
(Joint)
2019-03-08
09:25
Kanagawa YRP [Invited Lecture] Site Engineering and Machine Learning for Next Generation Radio Communication Systems
Koji Yamamoto (Kyoto Univ.) RCS2018-321
For the efficient operation of radio communication systems, parameters should be optimized when the communication qualit... [more] RCS2018-321
p.203
NC, MBE
(Joint)
2019-03-05
15:00
Tokyo University of Electro Communications On the spatiotemporal information contained in spike responses of mouse retina ganglion cells
Yuki Kashiwagi, Koji Yamamoto, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2018-99
Information in the visual scene projected on the retina is encoded into the digital-like electrical signal called “spike... [more] MBE2018-99
pp.65-70
ASN 2019-01-28
14:40
Kagoshima Kyuukamura Ibusuki Deep Reinforcement Learning-Based Optimum Channel Control for Wireless LAN
Kota Nakashima, Syotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) ASN2018-80
This report proposes deep reinforcement learning-based channel selection method when access points (APs) are located den... [more] ASN2018-80
pp.13-18
MoNA 2019-01-16
10:05
Kyoto T. B. D. A Study on Application of Contextual Bandit Problem to Wireless LAN Access Point Selection
Taichi Sakakibara, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.), Toshihisa Nabetani (TOSHIBA) MoNA2018-58
This paper models access point (AP) selection problem wireless LAN as an bandit problem and evaluate a performance of an... [more] MoNA2018-58
pp.7-11
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