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  • Open Access

    ARTICLE

    Efficient Gauss-Seidel Precoding with Parallel Calculation in Massive MIMO Systems

    Hyun-Sun Hwang1, Jae-Hyun Ro2, Chan-Yeob Park1, Young-Hwan You3, Hyoung-Kyu Song1,*

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 491-504, 2022, DOI:10.32604/cmc.2022.019397 - 07 September 2021

    Abstract A number of requirements for 5G mobile communication are satisfied by adopting multiple input multiple output (MIMO) systems. The inter user interference (IUI) which is an inevitable problem in MIMO systems becomes controllable when the precoding scheme is used. In this paper, the horizontal Gauss-Seidel (HGS) method is proposed as precoding scheme in massive MIMO systems. In massive MIMO systems, the exact inversion of channel matrix is impractical due to the severe computational complexity. Therefore, the conventional Gauss-Seidel (GS) method is used to approximate the inversion of channel matrix. The GS has good performance by More >

  • Open Access

    ARTICLE

    An Enhanced Jacobi Precoder for Downlink Massive MIMO Systems

    Park Chan-Yeob, Hyun-Ro Jae, Jun-Yong Jang, Song Hyoung-Kyu*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 137-148, 2021, DOI:10.32604/cmc.2021.016108 - 22 March 2021

    Abstract Linear precoding methods such as zero-forcing (ZF) are near optimal for downlink massive multi-user multiple input multiple output (MIMO) systems due to their asymptotic channel property. However, as the number of users increases, the computational complexity of obtaining the inverse matrix of the gram matrix increases. For solving the computational complexity problem, this paper proposes an improved Jacobi (JC)-based precoder to improve error performance of the conventional JC in the downlink massive MIMO systems. The conventional JC was studied for solving the high computational complexity of the ZF algorithm and was able to achieve parallel… More >

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