Presentation 2009-05-28
A Study on Dynamic Spectrum Control based Interference Suppression for Cognitive Radio Networks
Tomomi AOKI, Shinsuke IBI, Seiichi SAMPEI,
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Abstract(in English) This paper proposes an interference suppression technique using a dynamic spectrum control (DSC) for distributed control based cognitive radio networks. Based on the consideration that the CSMA/CA is not efficient in terms of throughput due to its strict collision avoidance process, this paper employs a DSC in which a certain number of discrete spectra having the highest channel gain is selected individually in each link allowing a partial band interference, and such interference is suppressed by the equalizer in the receiver. To further suppress mutual interference occurrence, a part of spectrum having relatively high interference level is also removed from the candidate of selectable discrete spectra. Evaluation of channel capacity and system throughput by computer simulation conforms that the proposed scheme is effective in achieving high channel capacity and system throughput even under autonomous distributed control.
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Keyword(in English) Autonomous distributed control / Cognitive Radio / Dynamic Spectrum Control / Partial Band Interference / Spectrum sharing
Paper # SR2009-1
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Committee SR
Conference Date 2009/5/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Dynamic Spectrum Control based Interference Suppression for Cognitive Radio Networks
Sub Title (in English)
Keyword(1) Autonomous distributed control
Keyword(2) Cognitive Radio
Keyword(3) Dynamic Spectrum Control
Keyword(4) Partial Band Interference
Keyword(5) Spectrum sharing
1st Author's Name Tomomi AOKI
1st Author's Affiliation Graduate School of Engineering, Osaka University()
2nd Author's Name Shinsuke IBI
2nd Author's Affiliation Graduate School of Engineering, Osaka University
3rd Author's Name Seiichi SAMPEI
3rd Author's Affiliation Graduate School of Engineering, Osaka University
Date 2009-05-28
Paper # SR2009-1
Volume (vol) vol.109
Number (no) 61
Page pp.pp.-
#Pages 6
Date of Issue