An Improved KPD Algorithm of Multipath Components Clustering for 5G Millimeter Wave Radio Channels

摘要：

　　Cluster is an important concept in channel model and simulations.In this paper,an adaptive kernel-powerdensity(KPD)based algorithm called adaptive-KPD(AKPD)is proposed.In KPD,the density of multipath components(MPCs)is calculated with the K nearest MPCs.However,by taking a fixed K,it cannot distinguish the cluster centroids when the number of MPCs is small inside a cluster.In this work,A distance-based algorithm is proposed to calculate an adaptive-K for each MPC,the accuracy of the proposed AKPD is validated using measured channel data at millimeter wave band.The results in paper is useful in MPCs clustering for 5G channel modeling and simulations.

关键词： Channel measurement and modeling MIMO Cluster kernel density multipath component wireless channel

作者: Fei Du Xiongwen Zhao Suiyan Geng Yu Zhang Zihao Fu Rui Zhang Yongsheng Liu Yigang Geng

作者单位: School of Electrical and Electronic Engineering North China Electric Power Uinversity Beijing,China National Key Laboratory of Electromagnetic Environment China Research Institute of Radiowave Propaga China Mining Technology Ltd Xian china

会议类型: 国际会议

会议名称: The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE 2018)?(第十二届天线、传播与电磁理论国际学术会议)

会议地点: 杭州

会议语种:英文

页码: 1-4

在线出版日期: 2018-12-03（万方平台首次上网日期，不代表论文的发表时间）