5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Distribution discontinuities detection using algebraic technique for spectrum sensing in cognitive radio

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  • @INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9183,
        author={Wael Guib\'{e}ne and Aawatif Hayar and Monia Turki},
        title={Distribution discontinuities detection using algebraic technique for spectrum sensing in cognitive radio},
        proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={9},
        keywords={Cognitive radio sensing algorithm energy detector distribution discontinuities algebraic detector change point detection},
        doi={10.4108/ICST.CROWNCOM2010.9183}
    }
    
  • Wael Guibène
    Aawatif Hayar
    Monia Turki
    Year: 2010
    Distribution discontinuities detection using algebraic technique for spectrum sensing in cognitive radio
    CROWNCOM
    IEEE
    DOI: 10.4108/ICST.CROWNCOM2010.9183
Wael Guibène1,*, Aawatif Hayar1,*, Monia Turki2,*
  • 1: EURECOM - Mobile Communications Dept., P.O. Box 193, 06904 Sophia Antipolis, France
  • 2: ENIT - Unité Signaux et Systèmes., BP 37, Le Belvedere, 1002 Tunis, Tunisia
*Contact email: Wael.Guibene@eurecom.fr, Aawatif.Hayar@eurecom.fr, m.turki@enit.rnu.tn

Abstract

In this paper, we propose a new Spectrum Sensing technique for spectrum distribution discontinuities detection using algebraic detection (AD). The presented mathematical background leading to such technique is based on operational calculus and differential algebra which offers a new stand point in sensing theory. Even if this background is quite heavy, the sensing algorithm related to this technique is nevertheless very simple and remains with extremely low complexity, comparable even to the Energy Detection technique (ED). Simulations results show good performance of the proposed technique in terms of reliability and accuracy with low complexity and good robustness in noisy context.