An Efficient Automatic Clustering Algorithm for MIMO Channel Modeling

摘要：

In this paper,we propose an efficient automatic clustering algorithm for MIMO channel modeling. Analysis of clustering with different delays,AODs,AOAs and simulation are presented. We use channel data for simulation which are obtained from WINNER SCME in macro scenarios and micro scenarios. The simulation results from MATLAB platform demonstrate this automatic clustering algorithm based on K-means performs well in both scenarios. Besides,this clustering algorithm is more efficient and suitable for MIMO channel modeling based on channel measurement.

关键词： Clustering algorithm MIMO Channel modeling K-means

作者: Miao Jiang Muqing Wu Chunxiu Xu

作者单位: Beijing University of Posts and Tele, (BUPT),China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 754-757

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）