Grouping of COST 2100 indoor multipaths using simultaneous clustering and model selection

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Article

Source Title

International Journal of Emerging Trends in Engineering Research

Volume

7

Issue

8

First Page

197

Last Page

202

Publication Date

1-1-2019

Abstract

Simultaneous Clustering and Model Selection (SCAMS) is introduced to cluster multipaths from COST 2100 channel model (C2CM). SCAMS determines not only the number of clusters but also the membership of the clusters. The study is the first to report clustering of multipaths that consider simultaneously the number of clusters and the membership of the clusters. Cluster identification and cardinality classification are dependent on the values of λ and γ, the parameters that weigh the penalty terms to avoid the trivial solution (all 1 matrix) of the affinity matrix. The clustered multipaths are compared with the reference multipaths that can be found in IEEE DataPort. The accuracy of the clustering approach is examined using the Jaccard index (η). The proposed clustering approach can achieve higher accuracy compared to popular multipath clustering approaches. © 2019, World Academy of Research in Science and Engineering. All rights reserved.

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Digitial Object Identifier (DOI)

10.30534/ijeter/2019/15782019

Disciplines

Electrical and Electronics | Manufacturing | Systems and Communications

Keywords

MIMO systems; Radio wave propagation

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