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Paper Abstract and Keywords
Presentation 2022-08-26 09:54
A study on adaptive rate control using Deep Q-network in IEEE 802.11
Tomoki Nakashima (Kyutech), Leonardo Lanante (Ofinno), Masayuki Kurosaki, Hiroshi Ochi (Kyutech) SIP2022-63
Abstract (in Japanese) (See Japanese page) 
(in English) Transmission rate control in wireless LANs is one of the factors that affect communication quality. Although many transmission rate control algorithms have been proposed, there are cases in which existing algorithms cannot adaptively control the rate depending on changes in the wireless communication environment. In this study, we propose a transmission rate control method using Deep Q-Network (DQN) to adapt to changes in the communication environment due to node movement. We evaluate the proposed DQN-based transmission rate control using the ns3-ai framework.
Keyword (in Japanese) (See Japanese page) 
(in English) IEEE 802.11 / Wireless LAN / Rate Control / Reinforcement Learning / Deep Q-network / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 165, SIP2022-63, pp. 70-74, Aug. 2022.
Paper # SIP2022-63 
Date of Issue 2022-08-18 (SIP) 
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 SIP2022-63

Conference Information
Committee SIP  
Conference Date 2022-08-25 - 2022-08-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Nobumoto Ohama Memorial Hall (Ishigaki Island) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Signal processing, etc. 
Paper Information
Registration To SIP 
Conference Code 2022-08-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on adaptive rate control using Deep Q-network in IEEE 802.11 
Sub Title (in English)  
Keyword(1) IEEE 802.11  
Keyword(2) Wireless LAN  
Keyword(3) Rate Control  
Keyword(4) Reinforcement Learning  
Keyword(5) Deep Q-network  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Tomoki Nakashima  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Leonardo Lanante  
2nd Author's Affiliation Ofinno LLC (Ofinno)
3rd Author's Name Masayuki Kurosaki  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
4th Author's Name Hiroshi Ochi  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2022-08-26 09:54:00 
Presentation Time 18 minutes 
Registration for SIP 
Paper # SIP2022-63 
Volume (vol) vol.122 
Number (no) no.165 
Page pp.70-74 
#Pages 5 
Date of Issue 2022-08-18 (SIP) 

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