Presentation 2012-07-26
Effect of Measurement Errors of Channel Selection Based on Markov Chain Model
Mai OHTA, Masayuki KITAMURA, Takeo FUJII,
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Abstract(in English) In a cognitive radio spectrum sharing system, the spectrum efficiency between a primary system (PS) and a secondary system (SS) can be improved by predicting the channel utilization trend of PS. In this paper, SS nodes select the channel for transmitting control information by modeling the PS channel utilization trend based on Markov chain model. However, a channel occupancy ratio and a state transition ratio of the Markov chain model contain errors because these ratios are derived from statistical measurement results. In this paper, we assume a common channel priority list based on the channel occupancy ratio and the state transition ratio is shared among SS nodes and we consider the channel list contains some errors at measurement results. Then, we evaluate the performance of channel selection by considering the error effects in the channel occupancy ratio and the state transition ratio. Finally, we discuss the effect of measurement errors toward the channel selection.
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Keyword(in English) Cognitive Radio / Control Channel Selection Method / Markov Chain Model
Paper # SR2012-19
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Conference Date 2012/7/19(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Effect of Measurement Errors of Channel Selection Based on Markov Chain Model
Sub Title (in English)
Keyword(1) Cognitive Radio
Keyword(2) Control Channel Selection Method
Keyword(3) Markov Chain Model
1st Author's Name Mai OHTA
1st Author's Affiliation AWCC, The University of Electro-Communications()
2nd Author's Name Masayuki KITAMURA
2nd Author's Affiliation AWCC, The University of Electro-Communications
3rd Author's Name Takeo FUJII
3rd Author's Affiliation AWCC, The University of Electro-Communications
Date 2012-07-26
Paper # SR2012-19
Volume (vol) vol.112
Number (no) 153
Page pp.pp.-
#Pages 6
Date of Issue