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Paper Abstract and Keywords
Presentation 2023-03-14 14:55

Kaito Ootsu, Shan Lu, Hiroshi Kamabe (Gifu Univ) IT2022-104 ISEC2022-83 WBS2022-101 RCC2022-101
Abstract (in Japanese) (See Japanese page) 
(in English) The LoRaWAN (Long Range Wide Area Network) is a type of LPWAN communication protocol that is gaining attention due to its use of license-free frequency bands and the ability to construct private networks with open source technology.
In LoRaWAN, devices communicate with a gateway (GW) and connect to the network through the GW. When multiple devices are connected to a single GW, they may send packets simultaneously, which may cause packet collisions and prevent the GW from receiving data correctly.
In this paper, we extend the method of learning the status of past transmissions using ACK by reinforcement learning, and propose a method in which only some terminals send packets that require ACK based on the distance between the terminal and GW, and showed that the packet reception rate (PDR) of certain terminals can be improved.
To evaluate the proposed method, we simulate a LoRaWAN network using the NS-3 network simulator and measure the network's performance in terms of PDR.
Keyword (in Japanese) (See Japanese page) 
(in English) LPWAN / LoRaWAN / Reinforcement Learning / ACK / Wireless Communication / IoT / NS-3 /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 427, IT2022-104, pp. 230-235, March 2023.
Paper # IT2022-104 
Date of Issue 2023-03-07 (IT, ISEC, WBS, RCC) 
ISSN Online edition: ISSN 2432-6380
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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 IT2022-104 ISEC2022-83 WBS2022-101 RCC2022-101

Conference Information
Committee RCC ISEC IT WBS  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IT 
Conference Code 2023-03-RCC-ISEC-IT-WBS 
Language Japanese without English title) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
Sub Title (in English)  
Keyword(1) LPWAN  
Keyword(2) LoRaWAN  
Keyword(3) Reinforcement Learning  
Keyword(4) ACK  
Keyword(5) Wireless Communication  
Keyword(6) IoT  
Keyword(7) NS-3  
Keyword(8)  
1st Author's Name Kaito Ootsu  
1st Author's Affiliation Gifu University (Gifu Univ)
2nd Author's Name Shan Lu  
2nd Author's Affiliation Gifu University (Gifu Univ)
3rd Author's Name Hiroshi Kamabe  
3rd Author's Affiliation Gifu University (Gifu Univ)
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Speaker Author-1 
Date Time 2023-03-14 14:55:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2022-104, ISEC2022-83, WBS2022-101, RCC2022-101 
Volume (vol) vol.122 
Number (no) no.427(IT), no.428(ISEC), no.429(WBS), no.430(RCC) 
Page pp.230-235 
#Pages
Date of Issue 2023-03-07 (IT, ISEC, WBS, RCC) 


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