摘要
相对于点对点多输入多输出(MIMO)系统,分布式MIMO系统的天线数量显著增大,采用现有的性能较优的天线选择算法,复杂度的增加会大大制约系统的可实现性.为了解决这一问题,根据分布式架构特点提出一种基于端口选择的改进型逐减天线选择算法.该算法通过设定上限的动态端口选择有效缩小待选天线范围,进而采用逐减方法,以优化参数迭代更新的方式达到进一步降低复杂度的目的.理论分析和性能仿真结果表明,该算法在显著降低计算复杂度的同时,其容量性能仍可逼近穷举算法.
The antenna number in distributed multiple input multiple output(MIMO) system is much larger than that in centralized MIMO system. Therefore adopting existent antenna selection algorithms with excellent performance will make the system hardly realized because of the increase of its complexity. To deal with the problem, an enhanced elimination antenna selection algorithm based on port selection is proposed according to characteristics of the distributed structure. The algorithm decreases the antenna search range via number-limited dynamic port selection and uses iterative optimizing-parameter computation instead of matrix inversion during the elimination process. Analysis and simulation show that the computation complexity of the proposed algorithm is largely decreased, while the capacity performance is still very close to that of the optimal algorithm.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2011年第4期34-37,69,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家高技术研究发展计划项目(2009AA011504)
关键词
分布式多输入多输出
端口选择
天线选择
低复杂度
distributed multiple input multiple output
port selection
antenna selection
low complexity