摘要
块对角化(Block diagonalization,BD)预编码算法通过两次奇异值分解实现多用户间干扰消除并将下行多用户多输入多输出(Multi-user multiple-input multiple-output,MU-MIMO)信道解耦成多个独立的单用户MIMO(Single-user MIMO,SU-MIMO)信道,但其计算复杂度也随着用户数量和矩阵维数的增加而增加。在MU-MIMO下行系统中,提出基于格基缩减的改进块对角化传输策略,将BD算法的第2次奇异值分解替换为基于格基缩减的线性检测,可得到比传统BD传输策略更好的误码率性能以及更低的计算复杂度。
According to the twice singular value decompositions ,the multi‐user interference is able to be eliminated by the block diagonalization （BD） precoding algorithm ,and the multi‐user multiple‐input mul‐tiple‐output（MU‐MIMO） channels can be decoupled into multiple independent single‐user multiple‐input multiple‐output（SU‐MIMO） channels .But the computational complexity is growing along with the in‐creases of the number of users and the dimensions of the channel matrix .The transmission strategy for the MU‐MIMO downlink system based on lattice reduction is presented .The linear detection based on lattice reduction is used to replace the second singular value decomposition of the traditional BD algo‐rithm .Comparing with traditional BD algorithm ,the better BER performance and the lower computa‐tional complexity can be obtained .
出处
《数据采集与处理》
CSCD
北大核心
2016年第6期1213-1219,共7页
Journal of Data Acquisition and Processing
基金
重庆市基础与前沿研究计划(CSTC2014JCYJA40003)资助项目
重庆市科委自然科学基金(CSTC2012JJA00037)资助项目
重庆市教委科学技术研究(CSTC2013JCYJA00008)资助项目
关键词
多用户多输入多输出
块对角化
格基缩减
预编码
奇异值分解
multi-user multiple-input multiple-output （MU-MIMO）
block diagonalization （BD）
latticereduction
precoding
singular value decomposition
