講演抄録/キーワード |
講演名 |
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 |
抄録 |
(和) |
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. |
(英) |
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. |
キーワード |
(和) |
Cognitive Radio (CR) / channel sensing / partially observable Markov decision process (POMDP) / Reinforcement learning (RL) / Fuzzy Q-Learning (FQL) / / / |
(英) |
Cognitive Radio (CR) / channel sensing / partially observable Markov decision process (POMDP) / Reinforcement learning (RL) / Fuzzy Q-Learning (FQL) / / / |
文献情報 |
信学技報, vol. 112, no. 239, RCS2012-155, pp. 173-178, 2012年10月. |
資料番号 |
RCS2012-155 |
発行日 |
2012-10-10 (RCS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
RCS2012-155 |