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Paper Abstract and Keywords
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
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
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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)  
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 
Date of Issue 2012-10-10 (RCS) 

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