应用科学学报 ›› 2011, Vol. 29 ›› Issue (3): 251-255.doi: 10.3969/j.issn.0255-8297.2011.03.016

• 通信工程 • 上一篇    下一篇

连续迭代优化SLNR准则的下行多用户MIMO预编码

高献坤,崔 岩,傅洪亮   

  1. 1. 河南农业大学 机电工程学院,郑州 450002
    2. 河南工业大学 信息科学与工程学院,郑州 450001
  • 收稿日期:2010-11-03 修回日期:2011-04-01 出版日期:2011-05-26 发布日期:2011-05-30
  • 通信作者: 崔 岩,副教授,研究方向:电子测控、热能与动力,E-mail:cuiyan6198@163.com
  • 作者简介:崔 岩,副教授,研究方向:电子测控、热能与动力,E-mail:cuiyan6198@163.com
  • 基金资助:

    河南省科技创新人才计划项目基金(No.104100510008)资助

Downlink Pre-coding for Multi-user MIMO System with Successive Iterative Optimal SLNR

GAO Xian-kun, CUI Yan, FU Hong-liang   

  1. 1. College of Mechanical and Electrical Engineering,
    Henan Agricultural University, Zhengzhou 450002, China
    2. Institute of In formation Science and Engineering, Henan
    University of Technology, Zhengzhou 450001, China
  • Received:2010-11-03 Revised:2011-04-01 Online:2011-05-26 Published:2011-05-30

摘要:

多用户MIMO下行链路通信系统必须设计合适的预编码方案来抑制多用户间的共信道干扰. 该文提出一种基于连续迭代优化信号泄漏噪声比最大准则的预编码方法.利用已知用户未使用的子信道空间增大其他用户的预编码空间自由度,降低干扰泄漏,并用迭代法进一步抑制多用户干扰,提高接收端信干比.该方法仅在发射端使用用户的信道信息优化与编码矩阵,不需要基站与用户协作,接收端可自由选择检测算法,且不会增加系统开销.仿真结果表明,所提方法取得了比原SLNR方法更好的系统性能,且具有较快的收敛速度,实用性较强.

关键词: 共信道干扰, 多用户MIMO, 广义特征值分解, 信号泄漏噪声比

Abstract:

In the downlink of a multi-user MIMO system, an appropriate pre-coding algorithm is needed to suppress co-channel interference. Based on the criterion of maximum signal-to-leakage-and-noise-ratio (SLNR), a successive iterative optimization pre-coding scheme is proposed. The method uses the unused subspace of known users to improve the space degree-of-freedom of the other users, and reduces the leakage. An iterative optimal method is applied to further suppress multi-user interference (MUI) and improve the signal-to-interference-and-noise-ratio (SINR) at the receiver. The proposed scheme only makes use of the channel information of the users at the transmitter to optimize the pre-coding matrix without collaboration between the base stations and the users. Any detection algorithm can be selected at the receiver without increasing the system overhead. Simulation results show that the proposed scheme has better performance and faster convergence than the original SLNR algorithm, and therefore is suitable for practical applications.

Key words: co-channel interference, MU-MIMO,, generalized eigen-value decomposition, signal-to-leakage-and-noise ratio

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