The 2nd International ICST Workshop on Cognitive Radio Network

Research Article

Cooperative spectrum sensing by algorithmic techniques using spatial information

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  • @INPROCEEDINGS{10.4108/crnet.2010.4,
        author={Taha Abachi and Mohammad Afshin Hemmatyar and Mohammad Amin Fazli and Mohammad Izadi},
        title={Cooperative spectrum sensing by algorithmic techniques using spatial information},
        proceedings={The 2nd International ICST Workshop on Cognitive Radio Network},
        publisher={IEEE},
        proceedings_a={CRNET},
        year={2011},
        month={1},
        keywords={Cognitive Radio Cooperative Spectrum Sensing Approximation Algorithm Clique Convex Hull},
        doi={10.4108/crnet.2010.4}
    }
    
  • Taha Abachi
    Mohammad Afshin Hemmatyar
    Mohammad Amin Fazli
    Mohammad Izadi
    Year: 2011
    Cooperative spectrum sensing by algorithmic techniques using spatial information
    CRNET
    IEEE
    DOI: 10.4108/crnet.2010.4
Taha Abachi1,*, Mohammad Afshin Hemmatyar1,*, Mohammad Amin Fazli1,*, Mohammad Izadi1,*
  • 1: CE Department, Sharif University of Technology, Tehran, Iran
*Contact email: abachi@ce.sharif.edu, hemmatyar@sharif.edu, fazli@ce.sharif.edu, izadi@sharif.edu

Abstract

Spectrum sensing is the basic step in cognitive radio networks. Its accuracy directly affects spectrum utilization. In this paper we propose a new method for blind cooperative spectrum sensing using spatial information. We model our sensing matrix as a graph, taking advantage of signal and spatial correlation of antennas. We prove that the general settings of the problem are hard to approximate. Taking spatial information into account, we propose a new scheme to find white space subregions. Cognitive radio users residing in the region may be able to transmit, but must keep their transmission power to the extent that no interference is caused to primary receivers out of the region.