| 摘要: |
| 研究了对多用户多输入多输出下行链路进行块对角化后，使用格基规约算法的几何均
值分解矢量预编码的实现方法。根据块对角化思想将多用户多天线信道分解为等价并行子信
道，基于等价子信道给出了单个用户的几何均值分解矢量预编码的传输方案，通过使用格基
规约算法分别结合连续干扰消除和垂直分层空时编码两种方法，求解矢量预编码中的扰动矢
量。仿真表明，提出的方法误码率性能优于块对角化矢量预编码算法2 dB以上，而且能在不
降低系统性能的前提下降低计算复杂度。 |
| 关键词: 多输入多输出 块对角化 几何均值分解 格基规约 矢量预编码 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61105097,61271283）；交通部应用基础研究项目（2012319810190）；上海市教委科研创新项目（13YZ081）；上海海事大学校基金项目（20120107） |
|
| Lattice reduction GMD vector precoding based on block diagonalization |
| GENG Xuan,SUN Zuo-lei,LIU Feng,LIU Kun |
| () |
| Abstract: |
| Based on the block diagonalization (BD) for multiuser Multiple-input Mu
ltiple-output (MIMO) downlink channel, a vector precoding (VP) combined with ge
ometric mean decomposition (GMD) based on lattice reduction (LR) algorithm is st
udied. The multi-user multi-antenna channel is decomposed into parallel effect
ive sub-channels, and then a GMD VP transmission scheme for single user is pres
ented based on the above effective sub-channel. The LR algorithm combined with
successive interference cancellation (SIC) and Vertical Bell Laboratories Layered Sp
ace-Time(VBLAST) is exploited, so that the perturbation vector is obtained. Si
mulation results show that the bit error rate (BER) of proposed method outperform
s that of block diagonalized vector precoding at least 2dB, and the LR algorithm
can reduce the computation complexity with the same system performance. |
| Key words: MIMO block diagonalization geometric mean decomposition lattice reduction vec
tor precoding |
《电讯技术》编辑部 