6th International ICST Conference on Communications and Networking in China

Research Article

An Iterative Multiple Primary Users Localization Algorithm Based on Clustering

  • @INPROCEEDINGS{10.1109/ChinaCom.2011.6158156,
        author={Xing Zhiqiang and Li Wei and Han Qiang},
        title={An Iterative Multiple Primary Users Localization Algorithm Based on Clustering},
        proceedings={6th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={3},
        keywords={multiple primary user localization iterative k-mean clustering},
        doi={10.1109/ChinaCom.2011.6158156}
    }
    
  • Xing Zhiqiang
    Li Wei
    Han Qiang
    Year: 2012
    An Iterative Multiple Primary Users Localization Algorithm Based on Clustering
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2011.6158156
Xing Zhiqiang1,*, Li Wei1, Han Qiang2
  • 1: North China University of Technology
  • 2: Dongguan Entry-Exit Inspection and Quarantine Bureau of China
*Contact email: speech@ncut.edu.cn

Abstract

Multiple co-channel primary users (PU) existing simultaneously is very common in cognitive radio environments. With the knowledge of the location information of PUs, the cognitive radio can use spectrum-access opportunities more effectively and provides more value-added services. A novel multiple PUs localization algorithm was proposed, which seeks non-cooperative PUs’ position by executing k-mean clustering and iterative operations. Simulation results show that the proposed method achieves better performance than traditional expectation-maximization(EM) algorithm.