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| Presentation | 2012-10-19 14:55 A Fuzzy Q-Learning Based Sensing Policy for Cognitive Radio Systems Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.)  RCS2012-155 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In a cognitive radio (CR) network, the channel sensing scheme to detect the appearance of a primary user (PU) directly affects the performances of both CR and PU. However, in practical systems, the CR is prone to sensing errors due to inefficient sensing scheme. This may lead to interfering with primary user and low system performance. In this paper, we present a learning based scheme for channel sensing in CR network. Specifically, we formulate the channel sensing problem as a partially observable Markov decision process (POMDP), where the most likely channel state is derived by a learning process called Fuzzy Q-Learning (FQL). The optimal policy is derived by solving the problem. The simulation results show the effectiveness and efficiency of our proposed scheme. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cognitive Radio (CR) / channel sensing / partially observable Markov decision process (POMDP) / Reinforcement learning (RL) / Fuzzy Q-Learning (FQL) / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 239, RCS2012-155, pp. 173-178, Oct. 2012. | |
| Paper # | RCS2012-155 | |
| Date of Issue | 2012-10-10 (RCS) | |
| 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 | RCS2012-155 |
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| Conference Information | |
| Committee | SR AN USN RCS |
| Conference Date | 2012-10-17 - 2012-10-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Fukuoka univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | wireless distributed network, general topics |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2012-10-SR-AN-USN-RCS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Fuzzy Q-Learning Based Sensing Policy for Cognitive Radio Systems |
| Sub Title (in English) | |
| Keyword(1) | Cognitive Radio (CR) |
| Keyword(2) | channel sensing |
| Keyword(3) | partially observable Markov decision process (POMDP) |
| Keyword(4) | Reinforcement learning (RL) |
| Keyword(5) | Fuzzy Q-Learning (FQL) |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Fereidoun H. Panahi |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Tomoaki Ohtsuki |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2012-10-19 14:55:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2012-155 |
| Volume (vol) | vol.112 |
| Number (no) | no.239 |
| Page | pp.173-178 |
| #Pages | 6 |
| Date of Issue | 2012-10-10 (RCS) |
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