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Paper Abstract and Keywords
Presentation 2018-07-12 09:30
Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing
Yuya Aoki, Takeo Fujii (UEC) SR2018-30
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, many researchers focus on a measurement-based Radio Environment Database (RED) that utilizes the actual received signal power obtained by spectrum sensing as an enabler for an efficient frequency sharing. In the proposed method, in an environment where multiple transmitters are ON/OFF transitions, time series data are acquired by cooperative sensing in which sensors are arranged in a distributed manner and spectrum sensing by each sensor. Moreover, each sensor learns using the Hidden Markov Model (HMM) on the acquired time series data, thereby estimating the parameter of the receivable transmitter. After collecting estimation results by HMM in each sensor, sensor selection is used for estimation of temporal parameters (channel occupancy rate, average ON/OFF interval), and multiple imputation is used for estimation of spatial parameters (pathloss exponent, transmit power), whereby high precision time-space RED enable to construct. The simulation results confirm the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Cooperative Sensing / Hidden Markov Model / Multiple Imputation / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 126, SR2018-30, pp. 57-64, July 2018.
Paper # SR2018-30 
Date of Issue 2018-07-04 (SR) 
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 SR2018-30

Conference Information
Committee ASN NS RCS SR RCC  
Conference Date 2018-07-11 - 2018-07-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakodate Arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT(Internet of Things), etc. 
Paper Information
Registration To SR 
Conference Code 2018-07-ASN-NS-RCS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Cooperative Sensing  
Keyword(3) Hidden Markov Model  
Keyword(4) Multiple Imputation  
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1st Author's Name Yuya Aoki  
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 2018-07-12 09:30:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2018-30 
Volume (vol) vol.118 
Number (no) no.126 
Page pp.57-64 
#Pages
Date of Issue 2018-07-04 (SR) 


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