Presentation 2011-04-22
Model Predictive Control for Distributed Power Adjustment in Cognitive Radio
Genki MATSUI, Takuji TACHIBANA, Yukinori NAKAMURA, Kenji SUGIMOTO,
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Abstract(in English) In this paper, we propose a power adjustment method based on model predictive control (MFC) for cognitive radio networks. In this method, the decision of transmission power is formulated as a quadratic programming problem (QP). The transmission power is derived with the constraint condition so as to avoid the interference with primary networks. Because the constraint condition affects the performance of our proposed method significantly, we propose an effective update algorithm. We evaluate the performances of our proposed method with simulation and compare the proposed method with the conventional methods. In numerical examples, we show that our proposed method is more effective than the conventional methods in mobile cognitive radio networks.
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Keyword(in English) Cognitive radio networks / Distributed power adjustment / Model predictive control / Interference avoidance / Quadratic programming
Paper # NS2011-8
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Committee NS
Conference Date 2011/4/14(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Model Predictive Control for Distributed Power Adjustment in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio networks
Keyword(2) Distributed power adjustment
Keyword(3) Model predictive control
Keyword(4) Interference avoidance
Keyword(5) Quadratic programming
1st Author's Name Genki MATSUI
1st Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Takuji TACHIBANA
2nd Author's Affiliation Graduate School of Engineering, University of Fukui
3rd Author's Name Yukinori NAKAMURA
3rd Author's Affiliation Institute of Engineering, Tokyo University of Agriculture and Technology
4th Author's Name Kenji SUGIMOTO
4th Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2011-04-22
Paper # NS2011-8
Volume (vol) vol.111
Number (no) 8
Page pp.pp.-
#Pages 6
Date of Issue