Title
Wide-Band Cooperative Compressive Spectrum Sensing for Cognitive Radio Systems Using Distributed Sensing Matrix
Abstract
In this paper, cooperative compressive spectrum sensing is considered to enable accurate sensing of the wide-band spectrum. The proposed 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).
Year
DOI
Venue
2014
10.1109/VTCFall.2014.6966230
Vehicular Technology Conference
Keywords
Field
DocType
cognitive radio,compressed sensing,matrix algebra,signal detection,cognitive radio receiver,cognitive radio systems,compressive sensing theory,cooperative compressive spectrum sensing,distributed sensing matrix,false alarm probability,fusion center,global sensing matrix,hardware complexity,higher detection probability,local sensing matrix,receiver operation characteristics,wide-band analog signal,wide-band signal spectrum
False alarm,Computer science,Matrix (mathematics),Communication channel,Electronic engineering,Fusion center,Throughput,Analog signal,Compressed sensing,Cognitive radio
Conference
Citations 
PageRank 
References 
2
0.37
7
Authors
4
Name
Order
Citations
PageRank
Farrag, M.120.37
Muta, O.282.21
El-Khamy, M.360.95
Hiroshi Furukawa421131.32