Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

无线信道建模中二分 K 均值聚类多径分簇算法

Nie, Yifang ; Mbugua, Allan Wainaina ; Li, Yu ; Yao, Xingyan and Cai, Xuesong LU (2023) In Dianbo Kexue Xuebao/Chinese Journal of Radio Science 38(2). p.284-291
Abstract

In order to rationally allocate multi-path component (MPC) of wireless channels to different clusters, a multi-path clustering algorithm based on Bisecting K-means clustering was proposed for millimeter-wave channels to solve the problem of partial optimization of traditional K-means clustering methods. The MPC clustering was implemented based on the cluster split and iteration computation strategy, when the Mahalanobis distance (MD) was regarded as the multipath component distance (MCD). The experiment measurement in indoor millimeter-wave channel was conducted to verify the effectiveness and feasibility of the proposed method. The experimental results show that the clustering result of proposed method is more rational than those of... (More)

In order to rationally allocate multi-path component (MPC) of wireless channels to different clusters, a multi-path clustering algorithm based on Bisecting K-means clustering was proposed for millimeter-wave channels to solve the problem of partial optimization of traditional K-means clustering methods. The MPC clustering was implemented based on the cluster split and iteration computation strategy, when the Mahalanobis distance (MD) was regarded as the multipath component distance (MCD). The experiment measurement in indoor millimeter-wave channel was conducted to verify the effectiveness and feasibility of the proposed method. The experimental results show that the clustering result of proposed method is more rational than those of traditional K-means clustering methods, and the highly correlated MPCs are reasonably and uniquely allocated to the same cluster.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
alternative title
Multi-path clustering method based on bisecting K-means clustering in wireless channel modeling
publishing date
type
Contribution to journal
publication status
published
subject
keywords
bisecting K-means clustering, Mahalanobis distance(MD, millimeter-wave channel modeling, multi-path clustering
in
Dianbo Kexue Xuebao/Chinese Journal of Radio Science
volume
38
issue
2
pages
8 pages
publisher
Chinese Research Institute of Radiowave Propagation
external identifiers
  • scopus:85162745885
ISSN
1005-0388
DOI
10.12265/j.cjors.2022021
language
Chinese (Simplified)
LU publication?
yes
id
8aae8c05-295b-4072-9283-dc96a8d9612e
date added to LUP
2023-09-20 14:15:39
date last changed
2023-11-21 17:31:13
@article{8aae8c05-295b-4072-9283-dc96a8d9612e,
  abstract     = {{<p>In order to rationally allocate multi-path component (MPC) of wireless channels to different clusters, a multi-path clustering algorithm based on Bisecting K-means clustering was proposed for millimeter-wave channels to solve the problem of partial optimization of traditional K-means clustering methods. The MPC clustering was implemented based on the cluster split and iteration computation strategy, when the Mahalanobis distance (MD) was regarded as the multipath component distance (MCD). The experiment measurement in indoor millimeter-wave channel was conducted to verify the effectiveness and feasibility of the proposed method. The experimental results show that the clustering result of proposed method is more rational than those of traditional K-means clustering methods, and the highly correlated MPCs are reasonably and uniquely allocated to the same cluster.</p>}},
  author       = {{Nie, Yifang and Mbugua, Allan Wainaina and Li, Yu and Yao, Xingyan and Cai, Xuesong}},
  issn         = {{1005-0388}},
  keywords     = {{bisecting K-means clustering; Mahalanobis distance(MD; millimeter-wave channel modeling; multi-path clustering}},
  language     = {{chi}},
  number       = {{2}},
  pages        = {{284--291}},
  publisher    = {{Chinese Research Institute of Radiowave Propagation}},
  series       = {{Dianbo Kexue Xuebao/Chinese Journal of Radio Science}},
  title        = {{无线信道建模中二分 K 均值聚类多径分簇算法}},
  url          = {{http://dx.doi.org/10.12265/j.cjors.2022021}},
  doi          = {{10.12265/j.cjors.2022021}},
  volume       = {{38}},
  year         = {{2023}},
}