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Paper Abstract and Keywords
Presentation 2017-01-19 13:50
Study of Optimum Threshold Design According to SNR in Updating Processing of State Probabilities for Low Complexity and High Accuracy Measurement of Channel Occupancy Ratio and Channel Transition Ratio
Hayato Soya (Nagano Pref Inst), Osamu Takyu, Keiichiro Shirai (Shinshu Univ), Takeo Fujii (UEC), Mai Ohta (Fukuoka Univ), Humihito Sasamori, Shirou Handa (Shinshu Univ) SR2016-80
Abstract (in Japanese) (See Japanese page) 
(in English) It's necessary to select the most suitable channel to get many access chances in the cognitive radio.When we chose the most suitable channel,Channel occupancy ratio and channel transition ration is suitable parameter to presume a channel connection chance.We have proposed highly accuracy and low complexity measurement for channel occupancy ratio and channel transition ratio.We propose the method to set up a threshold different from a sign judgment in process of updating the likelihood information to which it was given from electric power presumption
likelihood information is divisible into a low likelihood and high likelihood group by a new threshold. A low likelihood sample is updationg by Using the temporary transition rate obtained from high likelihood information and the next symbol.We assume that this threshold chooses the most suitable threshold accordingly according to SNR.From the simulation,we show the proposed measurement achieves higher accuracy but lower complexity measurement than the conventional ones.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Channel Occupancy Ratio / Channel Transition Ratio / Markov Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 409, SR2016-80, pp. 11-16, Jan. 2017.
Paper # SR2016-80 
Date of Issue 2017-01-12 (SR) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 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) Study of Optimum Threshold Design According to SNR in Updating Processing of State Probabilities for Low Complexity and High Accuracy Measurement of Channel Occupancy Ratio and Channel Transition Ratio 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Channel Occupancy Ratio  
Keyword(3) Channel Transition Ratio  
Keyword(4) Markov Model  
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Keyword(6)  
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1st Author's Name Hayato Soya  
1st Author's Affiliation Nagano Prefectural Institute of Technology (Nagano Pref Inst)
2nd Author's Name Osamu Takyu  
2nd Author's Affiliation Shinshu University (Shinshu Univ)
3rd Author's Name Keiichiro Shirai  
3rd Author's Affiliation Shinshu University (Shinshu Univ)
4th Author's Name Takeo Fujii  
4th Author's Affiliation The University of Electro-Communications (UEC)
5th Author's Name Mai Ohta  
5th Author's Affiliation Fukuoka University (Fukuoka Univ)
6th Author's Name Humihito Sasamori  
6th Author's Affiliation Shinshu University (Shinshu Univ)
7th Author's Name Shirou Handa  
7th Author's Affiliation Shinshu University (Shinshu Univ)
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Speaker Author-1 
Date Time 2017-01-19 13:50:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2016-80 
Volume (vol) vol.116 
Number (no) no.409 
Page pp.11-16 
#Pages 6 
Date of Issue 2017-01-12 (SR) 

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