期刊导航

论文摘要

下行多用户MIMO系统中低复杂度块对角化预编码算法

A Low Complexity Block Diagonalization Precoding Algorithm for Multiuser MIMO Downlink Systems

作者:吴玉成(重庆大学 通信工程学院);刘阳(重庆大学 通信工程学院);潘怡瑾(重庆大学 通信工程学院)

Author:Wu Yucheng(College of Communication Eng.,Chongqing Univ.);Liu Yang(College of Communication Eng.,Chongqing Univ.);Pan Yijin(College of Communication Eng.,Chongqing Univ.)

收稿日期:2012-04-12          年卷(期)页码:2012,44(6):116-119

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:多输入多输出;预编码;块对角化;计算复杂度

Key words:multiple-input multiple-output(MIMO);precoding;block diagonalization;computational complexity

基金项目:国家自然科学基金资助项目(60872038);中央高校基本科研业务费专项资助项目(CDJXS12160008)

中文摘要

为在保证误码性能的情况下降低块对角化预编码算法计算复杂度,提出一种基于矩阵伪逆与LDL^H分解的多用户多输入多输出(MIMO)系统块对角化(BD)预编码改进算法LDL^H-BD(QR)。算法通过全局信道矩阵伪逆与块QR分解进行零空间计算,避免复杂的矩阵奇异值分解(SVD),快速实现信道块对角化。并采用能提供均匀子信道增益的LDL^H方式对等效信道进行优化分解,实现预编码矩阵设计。仿真结果表明该算法计算复杂度明显降低,并获得了与传统块对角化算法相近的误码率性能。

英文摘要

To reduce the computational complexity of block diagonalization precoding algorithm and ensure the BER performance,a block diagonalization precoding algorithm,named as LDL^H-BD(QR),was proposed for multiuser multi-input multi-output (MIMO) systems,based on pseudo inverse and LDL^H decomposition.Firstly,computational complexity was reduced by combining global channel matrix pseudo-inverse and QR decomposition. Therefore,channel block diagonalization was fast finished. Furthermore,the LDL^H decomposition which has moderate subchannel gains uniformity was applied to optimize the equivalent channel for each single-user,so that procoding matrix was completed. Simulation results showed that the proposed algorithm has less computational complexity and similar bit error rate performance as the traditional block diagonalization algorithm.

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