IEICE Technical Committee Submission System
Conference Schedule		 Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
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) SeMI2019-106		 We propose a sequential channel allocation method based on multi-objective multi-armed bandit problems.
The proposed me... [more]		 SeMI2019-106
pp.41-42
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]
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
 Results 1 - 4 of 4  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan