Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21–23, 2015, Revised Selected Papers

Research Article

Localization of Primary Users by Exploiting Distance Separation Between Secondary Users

Download
215 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-24540-9_37,
        author={Audri Biswas and Sam Reisenfeld and Mark Hedley and Zhuo Chen and Peng Cheng},
        title={Localization of Primary Users by Exploiting Distance Separation Between Secondary Users},
        proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers},
        proceedings_a={CROWNCOM},
        year={2015},
        month={10},
        keywords={Cognitive Radio Radio Environment Map Compressive sensing Localization power Measurements},
        doi={10.1007/978-3-319-24540-9_37}
    }
    
  • Audri Biswas
    Sam Reisenfeld
    Mark Hedley
    Zhuo Chen
    Peng Cheng
    Year: 2015
    Localization of Primary Users by Exploiting Distance Separation Between Secondary Users
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-24540-9_37
Audri Biswas1,*, Sam Reisenfeld1,*, Mark Hedley2,*, Zhuo Chen2,*, Peng Cheng2,*
  • 1: Macquarie University
  • 2: CSIRO
*Contact email: Audri.biswas@mq.edu.au, Sam.Reisenfeld@mq.edu.au, Mark.Hedley@csiro.au, Zhuo.Chen@csiro.au, Peng.Cheng@csiro.au

Abstract

Accurate localization of Primary Users (PUs) is an extremely useful procedure which can improve the performance of Cognitive Radio (CR) by more efficient dynamic allocation of channels and transmit powers for unlicensed users. In this paper, we analyze the performance of a Compressive Sensing (CS) method which simultaneously yields the PU transmitter locations and transmit powers for any channel in a Cognitive Radio Network (CRN). Additionally, we propose a novel approach of selectively eliminating Secondary User (SU) power observations from the set of SU receiving terminals such that pairs of the remaining SUs are separated by a minimum geographic distance. The modified algorithm demonstrates substantial performance improvements compared to random deployment of receiving terminals. Simulations were run for both the cases of uniform and Gaussian distributions for the SU random locations. The simulation results indicate that the new approach significantly reduced the number of received power measurements from SU terminals required to achieve a particular level of performance.