In this paper, a novel low-complexity sphere decoding (SD) algorithm (QSM-Tx) designed for quadrature spatial modulation (QSM) is proposed. The reduction of the computational complexity for QSM-Tx is achieved by only searching the specific points lying inside the given sphere rather than all possible points for maximum likelihood (ML) detection. And the bit-error-rate (BER) performance for the proposed QSM-Tx remains close to the ML algorithm. Furthermore, a modified sphere decoding for QSM, called QSM-Rx, with low complexity and the optimum BER performance is presented as well. Finally, the validity of the proposed QSM-Tx scheme is verified by simulation results.


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    Titel :

    Low-Complexity Sphere Decoding for Quadrature Spatial Modulation


    Beteiligte:
    Gou, Lina (Autor:in) / Ge, Jianhua (Autor:in) / Cao, Yue (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    224396 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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