Optimal channel-sensing policy based on Fuzzy Q-Learning process over cognitive radio systems

Fereidoun H. Panahi, Tomoaki Ohtsuki

研究成果: Conference contribution

13 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトル2013 IEEE International Conference on Communications, ICC 2013
出版者Institute of Electrical and Electronics Engineers Inc.
ページ2677-2682
ページ数6
ISBN(印刷物)9781467331227
DOI
出版物ステータスPublished - 2013 1 1
イベント2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
継続期間: 2013 6 92013 6 13

出版物シリーズ

名前IEEE International Conference on Communications
ISSN(印刷物)1550-3607

Other

Other2013 IEEE International Conference on Communications, ICC 2013
Hungary
Budapest
期間13/6/913/6/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • これを引用

    Panahi, F. H., & Ohtsuki, T. (2013). Optimal channel-sensing policy based on Fuzzy Q-Learning process over cognitive radio systems. : 2013 IEEE International Conference on Communications, ICC 2013 (pp. 2677-2682). [6654941] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2013.6654941