摘要
针对多用户多天线中小区边缘用户同频干扰问题,提出了一种基于干扰距离最远准则的多用户MIMO干扰对齐优化算法,通过对等效干扰信道进行SVD分解,选择与等效干扰信道矩阵距离最大的特征子信道作为传输预编码矩阵,并分析了算法复杂度以及空间相关性对性能的影响,仿真结果显示系统频谱效率较原始算法在8天线下有31.57%的提高。
Focused on the co-channel interference of multi-user MIMO cell edge users, this article presented an optimized interference alignment based on longest interference distance principle. Through SVD decomposed the equivalent interference channel, selected the sub-channel, which is furthest from the equivalent interference channel as the transmission pre-coding matrix. It analyzes the complexity of the algorithm and the impact of Spatial correlation on performance. The simulation results show that compared the original algorithm the system spectral efficiency is increased by 31.57% with 8 antennas.
出处
《信息技术》
2013年第10期70-73,共4页
Information Technology
基金
中科院重点部署项目(KGZD-EW-103-5(4))
重大专项(2010ZX03003-004
2011ZX03004-003)
关键词
多用户多天线
干扰对齐
预编码
协作优化
multi-user MIMO
interference alignment
pre-code
cooperative interference