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Paper Abstract and Keywords
Presentation 2017-01-19 15:15
Transmitter Identification using Hidden Markov Model for Radio Environment Map Construction
Koji Ichikawa, Takeo Fujii (UEC) SR2016-83
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we discuss a method to construct a radio environment map (REM) in an environment
with multiple primary users (PUs). The REM provides statistical information about the PU signal at each location.
It enables the secondary user to access the licensed band dynamically. We derive the measurement architecture
based on the “ crowd-sourcing ” scheme to gather large-scale measurement data with inexpensive sensor nodes.
The PU detection or identification scheme is key part of the REM construction then there are multiple PUs in the
environment. However, it is difficult to identify multiple PUs in an individual user terminal. Therefore, the PU
detection or identification problem is solved at the REM servers using the Hidden Markov Model (HMM), which
is a time-seriesbased machine learning technique. The proposed HMM method classifies the measurement data
depending on the combined state of each transmitter, which can be either active or idle. The results show that the
proposed method exhibits better performance than the existing unsupervised clustering method.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Spectrum Sharing / Radio Environment Map / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 409, SR2016-83, pp. 27-32, Jan. 2017.
Paper # SR2016-83 
Date of Issue 2017-01-12 (SR) 
ISSN Print edition: ISSN 0913-5685    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 SR2016-83

Conference Information
Committee SR  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Himegin Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Cognitive wireless network, Cross layer wireless technology, SDN, etc. 
Paper Information
Registration To SR 
Conference Code 2017-01-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Transmitter Identification using Hidden Markov Model for Radio Environment Map Construction 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Spectrum Sharing  
Keyword(3) Radio Environment Map  
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1st Author's Name Koji Ichikawa  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Takeo Fujii  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2017-01-19 15:15:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2016-83 
Volume (vol) vol.116 
Number (no) no.409 
Page pp.27-32 
#Pages 6 
Date of Issue 2017-01-12 (SR) 

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