Presentation 2014-03-06
Wide-Band Cooperative Compressive Spectrum Sensing Using Distributed Sensing Matrix for Cognitive Radio Systems
Mohammed Farrag, Osamu Muta, Mostafa El-Khamy, Hiroshi Furukawa, Mohamed El-Sharkawy,
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Abstract(in English) In this paper, cooperative compressive spectrum sensing is considered to enable accurate sensing of the wide-band spectrum. The proppsed algorithm is based on compressive sensing theory and aims to reduce the hardware complexity of the cognitive radio receiver by distributing the sensing work among groups of sensing nodes. The proposed algorithm classifies the cooperated sensing nodes into different sensing groups depending on the quality of the reporting channel between the sensing node and the fusion center (FC). To sense the wide-band analog signal and take a global decision about spectrum occupancy, each node uses its local sensing matrix, which is assigned to its sensing group and a part of a global sensing matrix at the FC. The size of the local sensing matrix of each sensing node, and consequently the contribution of this node in the overall measurement vector, depends on its sensing group. The FC classifies and rearranges the compressed data to formulate one global measurement vector which is used with a global sensing matrix to estimate the wide-band signal spectrum. The receiver operation characteristics (ROC) of the overall spectrum sensing system show that the proposed receiver provides more protection to primary users (higher detection probability) at the same secondary user throughput (probability of false alarm).
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cognitive radio (CR) / Cooperative spectrum sensing / Compressed spectrum sensing (CSS) / Orthogonal matching pursuit (OMP) / Distributed sensing matrix / TV broadcast
Paper # CAS2013-93,SIP2013-139,CS2013-106
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Committee CS
Conference Date 2014/2/27(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Wide-Band Cooperative Compressive Spectrum Sensing Using Distributed Sensing Matrix for Cognitive Radio Systems
Sub Title (in English)
Keyword(1) Cognitive radio (CR)
Keyword(2) Cooperative spectrum sensing
Keyword(3) Compressed spectrum sensing (CSS)
Keyword(4) Orthogonal matching pursuit (OMP)
Keyword(5) Distributed sensing matrix
Keyword(6) TV broadcast
1st Author's Name Mohammed Farrag
1st Author's Affiliation Assiut University()
2nd Author's Name Osamu Muta
2nd Author's Affiliation Kyushu University
3rd Author's Name Mostafa El-Khamy
3rd Author's Affiliation Alexandria University
4th Author's Name Hiroshi Furukawa
4th Author's Affiliation Kyushu University
5th Author's Name Mohamed El-Sharkawy
5th Author's Affiliation Indiana University:Purdue University Indianapolis (IUPUI)
Date 2014-03-06
Paper # CAS2013-93,SIP2013-139,CS2013-106
Volume (vol) vol.113
Number (no) 465
Page pp.pp.-
#Pages 6
Date of Issue