This paper considers low-complexity transmit beamforming schemes for signal-to-interference-plus- noise ratio (SINR) balancing problem in the Gaussian multiple-input single-output multi-receiver wiretap channel (MISO-MRWC). The formulated max-min-fair problem are shown to be non-convex. To overcome the computational complexity, we develop the leakage-based and zero forcing (ZF) based beamforming algorithms for finding the local optimum transmit beamformers. Extensive simulation results illustrate that the proposed beamforming algorithms achieve low computational complexity without serious performance deterioration.


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    Titel :

    Low-Complexity Beamforming Schemes of SINR Balancing for the Gaussian MISO Multi-Receiver Wiretap Channel


    Beteiligte:
    Tang, Yanqun (Autor:in) / Hu, Yunpeng (Autor:in) / Zhang, Xiaoyi (Autor:in) / Li, Ou (Autor:in) / Yu, Hongyi (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    190728 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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