Forward-substitution-based generalized eigenvalue decomposition processor for MU-MIMO precoding

Chun-An Chen, Chiao-En Chen, Yuan-Hao Huang
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引用次数: 2

Abstract

To improve the spectrum efficiency in wireless communication systems, multiple-input multiple-output (MIMO) technology uses multiple antennas and allows several users to share the same spectrum and antennas by using precoding technique. In the leakage-based precoding technique, generalized eigenvalue decomposition (GEVD) must generate many precoding matrices for all users in the base station to avoid co-channel interference. This paper presents a GEVD algorithm based on forward substitution (FS) scheme to avoid matrix inversion operations. This research also designed and implemented the GEVD processor by using a 40nm CMOS technology. The synthesis results show that the FS-based GEVD processor can reduce area cost by 52% and improve the processing throughput by 12% compared to our previous GEVD [1] processor based on triangular matrix inversion with block multiplication.
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基于前向替换的MU-MIMO预编码广义特征值分解处理器
为了提高无线通信系统的频谱效率,多输入多输出(MIMO)技术采用多天线,通过预编码技术允许多个用户共享相同的频谱和天线。在基于泄漏的预编码技术中,广义特征值分解(GEVD)必须为基站内所有用户生成多个预编码矩阵,以避免同信道干扰。提出了一种基于前向替换(FS)的GEVD算法,避免了矩阵的反演操作。本研究还设计并实现了采用40nm CMOS技术的GEVD处理器。综合结果表明,与之前基于块乘法三角矩阵反演的GEVD[1]处理器相比,基于fs的GEVD处理器可以减少52%的面积成本,提高12%的处理吞吐量。
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