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  • Open Access

    ARTICLE

    Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems

    Adeeb Salh1, Lukman Audah1,*, Qazwan Abdullah1, Nor Shahida M. Shah2, Shipun A. Hamzah1, Shahilah Nordin3, Nabil Farah2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3189-3214, 2021, DOI:10.32604/cmc.2021.014746 - 01 March 2021

    Abstract Energy efficiency (EE) is a critical design when taking into account circuit power consumption (CPC) in fifth-generation cellular networks. These problems arise because of the increasing number of antennas in massive multiple-input multiple-output (MIMO) systems, attributable to inter-cell interference for channel state information. Apart from that, a higher number of radio frequency (RF) chains at the base station and active users consume more power due to the processing activities in digital-to-analogue converters and power amplifiers. Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in… More >

  • Open Access

    ARTICLE

    Weighted Gauss-Seidel Precoder for Downlink Massive MIMO Systems

    Jun-Yong Jang1, Won-Seok Lee1, Jae-Hyun Ro1, Young-Hawn You2, Hyoung-Kyu Song1,*

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1729-1745, 2021, DOI:10.32604/cmc.2021.015424 - 05 February 2021

    Abstract In this paper, a novel precoding scheme based on the Gauss-Seidel (GS) method is proposed for downlink massive multiple-input multiple-output (MIMO) systems. The GS method iteratively approximates the matrix inversion and reduces the overall complexity of the precoding process. In addition, the GS method shows a fast convergence rate to the Zero-forcing (ZF) method that requires an exact invertible matrix. However, to satisfy demanded error performance and converge to the error performance of the ZF method in the practical condition such as spatially correlated channels, more iterations are necessary for the GS method and increase… More >

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