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Paper Abstract and Keywords
Presentation 2021-03-05 10:20
Deep Learning-based OBSS Packet Recognition in the presence of OFDM Symbol Timing Offset
Muhammad Harry Bintang Pratama, Leonardo Lanante Jr., Hiroshi Ochi (Kyushu Inst. of Tech) SIS2020-55
Abstract (in Japanese) (See Japanese page) 
(in English) Overlapping Basic Service Set can result in packet collision and decrease network efficiency. To overcome this problem, a station must confirm the channel availability through the CCA mechanism. Besides using CCA-ED to sense the power level to detect the packet’s presence, packet detection in Wi-Fi standards depends on the packet’s preamble portion through CCA-SD that will check for a valid OFDM symbol. The power level must be within the threshold, or the preamble part must not be missed for CCA to detect the signal successfully. A deep learning-based method, such as CNN, can be used to recognize packet information without the preamble part. We propose a CNN model and suitable datasets that simulate the received packet during CCA. We also explain the role of filter size and max-pooling in signal processing point of view. Our simulations show that the proposed CNN model can classify different packet format and their modulation types. It can still recognize the packet even though different OFDM symbol timing offsets occur.
Keyword (in Japanese) (See Japanese page) 
(in English) OBSS / WLAN / OFDM / modulation detection / CNN / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 415, SIS2020-55, pp. 109-113, March 2021.
Paper # SIS2020-55 
Date of Issue 2021-02-25 (SIS) 
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 SIS2020-55

Conference Information
Committee SIS  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2021-03-SIS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Learning-based OBSS Packet Recognition in the presence of OFDM Symbol Timing Offset 
Sub Title (in English)  
Keyword(1) OBSS  
Keyword(2) WLAN  
Keyword(3) OFDM  
Keyword(4) modulation detection  
Keyword(5) CNN  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Muhammad Harry Bintang Pratama  
1st Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech)
2nd Author's Name Leonardo Lanante Jr.  
2nd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech)
3rd Author's Name Hiroshi Ochi  
3rd Author's Affiliation Kyushu Institute of Technology (Kyushu Inst. of Tech)
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Speaker Author-1 
Date Time 2021-03-05 10:20:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2020-55 
Volume (vol) vol.120 
Number (no) no.415 
Page pp.109-113 
#Pages 5 
Date of Issue 2021-02-25 (SIS) 

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