Antenna selection has attracted more and more attention in massive multiple input multiple output (MIMO) systems to balance the performance and computational complexity. In this paper, we design a top-N transmit antenna selection algorithm for massive MIMO systems. This algorithm can reach the optimization rather the sub-optimization which traditional algorithms usually achieve. Specifically, we build a top $-N -$ output ResNet which selects the top-N optimal schemes to improve the accuracy compared to the single output network. And then we design a N-to-one selection algorithm that acquires the optimal scheme from the top-N optimization. With the help of the top-N antenna selection algorithm, our proposed algorithm reaches 95% accuracy with only 2.23% complexity compared to exhaustive-search-based antenna selection.


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    Titel :

    ResNet-Based Top-N Transmit Antenna Selection Algorithm for Massive MIMO Systems


    Beteiligte:
    Zheng, Yunfei (Autor:in) / Zhang, Yuxiang (Autor:in) / Zhang, Jianhua (Autor:in) / Xia, Liang (Autor:in) / Jiang, Tao (Autor:in)


    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    615861 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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