[1]高献坤,崔岩,余泳昌..最小误码率排序迭代优化的SLNR改进算法[J].郑州大学学报(工学版),2012,33(02):19-23.[doi:10.3969/j.issn.1671-6833.2012.02.005]
　GAO Xiankun,CUI Yan,YU Yongchang.An Improved SLNR Pre-coding with Minimum BERSorting and Iterative Optimizing[J].Journal of Zhengzhou University (Engineering Science),2012,33(02):19-23.[doi:10.3969/j.issn.1671-6833.2012.02.005]
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最小误码率排序迭代优化的SLNR改进算法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
33
期数:
2012年02期
页码:
19-23
栏目:
出版日期:
2012-03-10

文章信息/Info

Title:
An Improved SLNR Pre-coding with Minimum BERSorting and Iterative Optimizing
作者:
高献坤; 崔岩; 余泳昌.
河南农业大学机电工程学院,河南郑州,450002, 河南农业大学机电工程学院,河南郑州,450002, 河南农业大学机电工程学院,河南郑州,450002
Author(s):
GAO Xiankun; CUI Yan; YU Yongchang
College of Mechanical and Electrical Engineering, Henan Agriculural University, Zhengzhou 450002, China
关键词:
MIMO;  信号泄露噪声比;  最小误码率;  迭代
Keywords:
multiple-input multiple-output ( MIMO );  signal-to-leakage-and-noise-ratio;  minimu bit error rate ;  iterate
分类号:
TN911.22
DOI:
10.3969/j.issn.1671-6833.2012.02.005
摘要:
针对多用户MIMO系统应用SLNR算法时由于干扰用户增加引起的系统性能下降问题,联合考虑误码率性能和信道质量,提出一种先把部分已知的多用户干扰加入SLNR准则进行抑制,根据信噪比大小确定预编码矩阵的设计顺序,再利用已知的多用户干扰迭代优化后续用户预编码矩阵的SLNR改进算法.由于只利用发射端信道信息优化预编码矩阵,改进算法无需基站与用户协作,计算复杂度低.对比仿真结果表明,改进算法收敛速度快,在高信噪比区域,误码率性能和系统容量增益得到了显著提升.
Abstract:
For the co-channel interference in multi-user MIMO system, an improved SLNR ( signal-to-leakageand-noise-ratio) pre-coding scheme is proposed, to solve the problem that the system performance declineswith the increase of interference user. Combining BER performance and channel quality, the proposed schemetakes firstly the known multi-user co-channel interference int SLNR maximization criterion to be suppressed.uses SNR ( signal-to-noise-ratio) sort each user’s pre-coding matrix, then utilizes the known muli-user co-channel interference to iterate and optimize the follow-up user’s pre-coding matrix, which can further improvesystem performance, Without collaboration between base station and user, the proposed scheme merely utilizesthe channel information at transmitter to optimize pre-coding matrix, has low complexity and faster conver-gence. Simulation result shows that both BER performance and system capacity gain are greatly improved compared with the original SLNR, especially in high SNR.
更新日期/Last Update: 1900-01-01