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| Presentation | 2019-03-08 09:50 A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou (Okayama Univ.), Kazuto Yano (ATR), Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR)  SR2018-137 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wireless transmission with cognitive radio technique. To realize such purpose, the important and difficult is to analyze and predict the start and end points of busy/idle duration of channel occupancy status in a low-complexity way. This paper will study the probability distribution of succeeding busy/idle status durations and its impact on the prediction performance of a low-complexity auto-regressive (AR) based predictor using the real environment data collected at a railway station. We first analyze the probability distribution of succeeding busy/idle status durations captured at 2.4~GHz and 5~GHz bands obtained by the adaptive kernel density estimation (AKDE). The analysis shows that, by setting the previous status durations into different ranges, the final status durations can be divided into different categorization with different range. Based on these properties, we evaluate the prediction performance of the low-complexity linear AR based predictor with B/I duration categorization by separating busy/idle duration data into different streams. The proposed predictor can largely improve the prediction performance of some streams after data categorization. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Autoregressive predictor / busy/idle duration prediction / heavy wireless traffic environment / adaptive kernel density estimation / data categorization / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 475, SR2018-137, pp. 89-96, March 2019. | |
| Paper # | SR2018-137 | |
| Date of Issue | 2019-02-27 (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 | SR2018-137 |
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| Conference Information | |
| Committee | RCS SR SRW |
| Conference Date | 2019-03-06 - 2019-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | YRP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2019-03-RCS-SR-SRW |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel |
| Sub Title (in English) | |
| Keyword(1) | Autoregressive predictor |
| Keyword(2) | busy/idle duration prediction |
| Keyword(3) | heavy wireless traffic environment |
| Keyword(4) | adaptive kernel density estimation |
| Keyword(5) | data categorization |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yafei Hou |
| 1st Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University (Okayama Univ.) |
| 2nd Author's Name | Kazuto Yano |
| 2nd Author's Affiliation | ATR Wave Engineering Laboratories (ATR) |
| 3rd Author's Name | Satoshi Denno |
| 3rd Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University (Okayama Univ.) |
| 4th Author's Name | Yoshinori Suzuki |
| 4th Author's Affiliation | ATR Wave Engineering Laboratories (ATR) |
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| Speaker | Author-1 |
| Date Time | 2019-03-08 09:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2018-137 |
| Volume (vol) | vol.118 |
| Number (no) | no.475 |
| Page | pp.89-96 |
| #Pages | 8 |
| Date of Issue | 2019-02-27 (SR) |
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