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最小误码率排序迭代优化的SLNR改进算法
引用本文: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(2):19-23.
作者姓名:高献坤  崔岩  余泳昌
作者单位:河南农业大学机电工程学院,河南郑州,450002
基金项目:河南省科技创新人才计划项目(104100510008)
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.

关 键 词:MIMO  信号泄露噪声比  最小误码率  迭代

An Improved SLNR Pre-coding with Minimum BER Sorting and Iterative Optimizing
GAO Xian-kun , CUI Yan , YU Yong-chang.An Improved SLNR Pre-coding with Minimum BER Sorting and Iterative Optimizing[J].Journal of Zhengzhou University: Eng Sci,2012,33(2):19-23.
Authors:GAO Xian-kun  CUI Yan  YU Yong-chang
Affiliation:(College of Mechanical and Electrical Engineering,Henan Agricultural University,Zhengzhou 450002,China)
Abstract:For the co-channel interference in multi-user MIMO system,an improved SLNR(signal-to-leakage-and-noise-ratio) pre-coding scheme is proposed,to solve the problem that the system performance declines with the increase of interference user.Combining BER performance and channel quality,the proposed scheme takes firstly the known multi-user co-channel interference into SLNR maximization criterion to be suppressed,uses SNR(signal-to-noise-ratio) sort each user’s pre-coding matrix,then utilizes the known multi-user co-channel interference to iterate and optimize the follow-up user’s pre-coding matrix,which can further improve system performance.Without collaboration between base station and user,the proposed scheme merely utilizes the channel information at transmitter to optimize pre-coding matrix,has low complexity and faster convergence.Simulation result shows that both BER performance and system capacity gain are greatly improved compared with the original SLNR,especially in high SNR.
Keywords:multiple-input multiple-output(MIMO)  signal-to-leakage-and-noise-ratio  minimum bit error rate  iterate
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