Regular zero-forcing (RZF) precoding algorithm is well- known as its low complexity and high performance in massive MIMO systems. However, when the number of transmitting antennas increases, the matrix inversion in RZF leads to high algorithmic complexity. In this paper, we propose an improved Newton iteration to estimate the matrix inversion in RZF precoding. Compared with the traditional Newton iteration, the performance improvement of the proposed algorithm is achieved in both of the fast algorithm convergence and the average user arrival rate in RZF precoding.


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    Titel :

    Massive MIMO Pre-Coding Algorithm Based on Improved Newton Iteration


    Beteiligte:
    Man, Yongqiang (Autor:in) / Zhang, Chi (Autor:in) / Li, Zhengquan (Autor:in) / Yan, Feng (Autor:in) / Xing, Song (Autor:in) / Shen, Lianfeng (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    312164 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch