Massive MIMO can significantly increase the data rate of a wireless communications system. The requirement for even greater data transmission rates in 5G systems has prompted the consideration of the largely unused millimeter wave (mmWave) band. To mitigate the high path loss at mmW frequencies and the poor scattering nature of the mmW channel (fewer paths exist), this paper proposes the use of a uniform planar array (UPA) hybrid beamforming technique with large antenna arrays and the sphere decoding algorithm to improve the performance of mmWave massive MIMO systems. When perfect Channel State Information (CSI) is available at the base Station (BS) and mobile Station (MS), computer simulations have shown that a gain of 10 dB or more can be achieved by using the Sphere Decoding algorithm compared to a system with Zero-forcing (ZF) or minimum mean- square error (MMSE) hybrid beamforming. Moreover, the complexity of the SD algorithm can be reduced by efficiently selecting the radius.


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    Titel :

    Sphere Decoding for Millimeter Wave Massive MIMO


    Beteiligte:
    Alouzi, Mohamed (Autor:in) / Chan, Francois (Autor:in) / D'Amours, Claude (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    982997 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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