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Paper Abstract and Keywords
Presentation 2024-11-04 14:55
[Poster Presentation] A Study on Channel Selection Method by Multi-Armed Bandit Algorithm Using Channel Usage Results of Other Terminals
Kaede Morishita, Mai Ohta, Makoto Taromaru (Fukuoka Univ.) SR2024-58
Abstract (in Japanese) (See Japanese page) 
(in English) In the future, the rapid increase in the volume of communication packets and the number of communication terminals has expected to have led to many packet interference. This research aims to improve communication efficiency through autonomous channel selection based on the environment by utilizing Multi-Armed Bandit (MAB) machine learning. In previous works, terminals learn each communication channel independently. However, it is a problem that learning progress is slow for terminals with a small number of transmit packets. Therefore, this paper proposes a method is which the terminal performs MAB machine learning using the learning information obtained while listening to the communication status of other terminals that may be in a similar environment. By determining whether other terminals are in the same environment or not, it is possible to select a suitable channel even for terminals with few communication opportunities, because the number of data for the learning increases. Therefore, the proposed method can reduce unnecessary packet transmission and then achieves efficient learning.
Keyword (in Japanese) (See Japanese page) 
(in English) 機械学習 / Grouping / MAB / ε-greedy grouping / Channel selection / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 233, SR2024-58, pp. 32-33, Nov. 2024.
Paper # SR2024-58 
Date of Issue 2024-10-28 (SR) 
ISSN Online edition: ISSN 2432-6380
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)
Download PDF SR2024-58

Conference Information
Committee SR  
Conference Date 2024-11-04 - 2024-11-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Fraunhofer IPT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SmartCom2024 
Paper Information
Registration To SR 
Conference Code 2024-11-SR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Channel Selection Method by Multi-Armed Bandit Algorithm Using Channel Usage Results of Other Terminals 
Sub Title (in English)  
Keyword(1) 機械学習  
Keyword(2) Grouping  
Keyword(3) MAB  
Keyword(4) ε-greedy grouping  
Keyword(5) Channel selection  
Keyword(6)  
Keyword(7)  
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1st Author's Name Kaede Morishita  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Mai Ohta  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
3rd Author's Name Makoto Taromaru  
3rd Author's Affiliation Fukuoka University (Fukuoka Univ.)
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Speaker Author-1 
Date Time 2024-11-04 14:55:00 
Presentation Time 60 minutes 
Registration for SR 
Paper # SR2024-58 
Volume (vol) vol.124 
Number (no) no.233 
Page pp.32-33 
#Pages 2 
Date of Issue 2024-10-28 (SR) 

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