Cluster-wise jaccard accuracy of kpower means on multipath datasets

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Emerging Trends in Engineering Research

Volume

7

Issue

8

First Page

203

Last Page

208

Publication Date

1-1-2019

Abstract

This paper presents the accuracy performance of the KPower Means (KPM) algorithm in clustering wireless multipaths using the generated datasets from COST2100 channel model (C2CM). KPM is one of the popular techniques used to cluster wireless multipath components (MPCs) and has been a basis of other complex multipath clustering approaches. KPM is implemented in Matlab using eight different channel scenarios obtained from C2CM representing various indoor and semi-urban environments at 2.85 MHz and 5.3 GHz bands, respectively. Results show that KPM performs well in an indoor environment than in a semi-urban due to the presence of numerous scatterers in a semi-urban environment yielding more multipaths. Jaccard similarity index is used to validate the accuracy performance of the KPM. © 2019, World Academy of Research in Science and Engineering. All rights reserved.

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Digitial Object Identifier (DOI)

10.30534/ijeter/2019/16782019

Disciplines

Electrical and Electronics

Keywords

MIMO systems; Radio wave propagation

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