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| Presentation | 2014-10-30 13:00 [Poster Presentation] Prediction of Next ON/OFF State of Primary System by N-order Markov Chain Ryota Nakanishi, Mai Ohta, Makoto Taromaru (Fukuoka Univ.)  SR2014-66 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we propose a method that predicts the next ON/OFF state of a primary system (PS) by Nth-order Markov chain with a maximum likelihood estimation method in order to reduce the number of spectrum sensing. Cognitive radio (CR) needs to sense the surrounding wireless environment. Because spectrum sensing consumes power, we consider reducing the times of the spectrum sensing by the prediction of the state sequence. A secondary system (SS) detects a white space (WS) where the PS does not use the channel. The SS observes the surrounding wireless environment by using an energy detection and garners the state sequence. Then, the SS analyzes the accumulated data and predicts the next ON/OFF states. We model PS as from two-states to 2^N states with the maximum likelihood estimation method and the SS can obtain reliable predictions without the spectrum sensing. The larger N is, the more SS can obtain reliable predictions. Because, the SS can decrease the times of spectrum sensing, as a result, the proposed method can reduce power consumption due to the sensing and the result transmission maintaining the required accuracy. Therefore, it is important that we know the state sequence length for the reliable predictions. In this paper, we show the correct prediction probability in each Nth-order Markov chain and evaluate the times of spectrum sensing by computer simulation. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Markov Chain / Maximum Likelihood Estimation Method / Spectrum Sensing / Cognitive Radio / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 284, SR2014-66, pp. 35-36, Oct. 2014. | |
| Paper # | SR2014-66 | |
| Date of Issue | 2014-10-23 (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 | SR2014-66 |
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| Conference Information | |
| Committee | SR |
| Conference Date | 2014-10-30 - 2014-10-31 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | I2R, Singapore |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | International Workshop (SmartCom 2014) |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2014-10-SR |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prediction of Next ON/OFF State of Primary System by N-order Markov Chain |
| Sub Title (in English) | |
| Keyword(1) | Markov Chain |
| Keyword(2) | Maximum Likelihood Estimation Method |
| Keyword(3) | Spectrum Sensing |
| Keyword(4) | Cognitive Radio |
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| 1st Author's Name | Ryota Nakanishi |
| 1st Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
| 2nd Author's Name | Mai Ohta |
| 2nd Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
| 3rd Author's Name | Makoto Taromaru |
| 3rd Author's Affiliation | Fukuoka University (Fukuoka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-10-30 13:00:00 |
| Presentation Time | 120 minutes |
| Registration for | SR |
| Paper # | SR2014-66 |
| Volume (vol) | vol.114 |
| Number (no) | no.284 |
| Page | pp.35-36 |
| #Pages | 2 |
| Date of Issue | 2014-10-23 (SR) |
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