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Paper Abstract and Keywords
Presentation 2019-04-19 10:25
Introduction of Q-Learning to Fixed Assignment based Window Access Scheme with Capture(FAWAC)
Yuki Uehara, Megumi Saito, Shigeru Shimamoto (Waseda Univ.) CS2019-10
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents the effects of applying Q-learning to fixed assignment based window access scheme with capture, such as offering nodes to transmit packets with less collisions. FAWA (Fixed Assignment based Window Access) is a multiple access scheme taking a middle position of slotted Aloha and TDMA schemes. FAWAC is an extension of the FAWA scheme. It allows for priorities of transmissions in assigned slots with the effect of capture using power control. By applying Q-learning to these schemes, the previous transmission can be considered, therefore enabling the schemes to have performance improvement.
Keyword (in Japanese) (See Japanese page) 
(in English) Reinforcement Learning / Q-Learning / FAWA / FAWAC / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 6, CS2019-10, pp. 51-54, April 2019.
Paper # CS2019-10 
Date of Issue 2019-04-11 (CS) 
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)
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Conference Information
Committee CS CQ  
Conference Date 2019-04-18 - 2019-04-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka Univ. Library 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Optical/Wireless Access and Their Integration, QoS and QoE, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, etc 
Paper Information
Registration To CS 
Conference Code 2019-04-CS-CQ 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Introduction of Q-Learning to Fixed Assignment based Window Access Scheme with Capture(FAWAC) 
Sub Title (in English)  
Keyword(1) Reinforcement Learning  
Keyword(2) Q-Learning  
Keyword(3) FAWA  
Keyword(4) FAWAC  
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1st Author's Name Yuki Uehara  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Megumi Saito  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Shigeru Shimamoto  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2019-04-19 10:25:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2019-10 
Volume (vol) vol.119 
Number (no) no.6 
Page pp.51-54 
#Pages
Date of Issue 2019-04-11 (CS) 


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