Presentation 2007-01-25
Cognitive MIMO Mesh Network : Study on Energy based Signal Detection in Cognitive Radio
Kenta UMEBAYASHI, Takeo FUJII, Fumie ONO, Kei SAKAGUCHI, Yasuo SUZUKI,
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Abstract(in English) Cognitive radio MIMO Mesh-Network (CMN) can coexist with existing network by dynamic allocation and management of resources, e.g., time, space, frequency and power. Moreover, CMN has a capability to realize flexible and at low cost. Therefore CMN has been paid much attention recently. In this report we focus on a signal detection technique which is one of the important issues in Cognitive radio especially we discuss about energy based signal detection. We propose a Neyman-Pearson theorem based collaborative signal detection where multi nodes collaborate to achieve higher performance. Then we compare the proposed method with two methods; the 1st is "Neyman-Pearson theorem based non-collaborative energy detection" and 2nd is "collaborative energy detection without Neyman-Pearson theorem". By computer simulations and analysis, the proposed method outperforms the 2 methods in terms of signal detection performance.
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Keyword(in English) Cognitive radio / MIMO / Meshnetwork / Signal detection / Cooperative sensing
Paper # SIP2006-156,RCS2006-214
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Conference Information
Committee RCS
Conference Date 2007/1/18(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cognitive MIMO Mesh Network : Study on Energy based Signal Detection in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio
Keyword(2) MIMO
Keyword(3) Meshnetwork
Keyword(4) Signal detection
Keyword(5) Cooperative sensing
1st Author's Name Kenta UMEBAYASHI
1st Author's Affiliation Tokyo University of Agriculture and Technology()
2nd Author's Name Takeo FUJII
2nd Author's Affiliation University of Electro-Communications
3rd Author's Name Fumie ONO
3rd Author's Affiliation Tokyo University of Science
4th Author's Name Kei SAKAGUCHI
4th Author's Affiliation Tokyo Institute of Technology
5th Author's Name Yasuo SUZUKI
5th Author's Affiliation Tokyo University of Agriculture and Technology
Date 2007-01-25
Paper # SIP2006-156,RCS2006-214
Volume (vol) vol.106
Number (no) 479
Page pp.pp.-
#Pages 6
Date of Issue