Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station

We present a procedure for identifying clusters around the mobile station in a small macrocell. It is based on the parameters of stronger clusters, which serve as the initial centroids. Using this method, most of the clusters were identified in an NLOS scenario. Employing this approach may aid in th...

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Main Authors:	Materum, Lawrence Y., Sivasondhivat, Kriangsak, Takada, Jun-ichi, Ida, Ichirou, Oishi, Yasuyuki
Format:	text
Published:	Animo Repository 2007
Subjects:	Line-of-sight radio links Mobile radio stations Systems and Communications
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/8398
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-9047
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spelling	oai:animorepository.dlsu.edu.ph:faculty_research-90472023-02-22T03:39:33Z Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station Materum, Lawrence Y. Sivasondhivat, Kriangsak Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki We present a procedure for identifying clusters around the mobile station in a small macrocell. It is based on the parameters of stronger clusters, which serve as the initial centroids. Using this method, most of the clusters were identified in an NLOS scenario. Employing this approach may aid in the identification of clusters when relatively strong paths below the path power of the centroids are included. 2007-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/8398 Faculty Research Work Animo Repository Line-of-sight radio links Mobile radio stations Systems and Communications
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Line-of-sight radio links Mobile radio stations Systems and Communications
spellingShingle	Line-of-sight radio links Mobile radio stations Systems and Communications Materum, Lawrence Y. Sivasondhivat, Kriangsak Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
description	We present a procedure for identifying clusters around the mobile station in a small macrocell. It is based on the parameters of stronger clusters, which serve as the initial centroids. Using this method, most of the clusters were identified in an NLOS scenario. Employing this approach may aid in the identification of clusters when relatively strong paths below the path power of the centroids are included.
format	text
author	Materum, Lawrence Y. Sivasondhivat, Kriangsak Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki
author_facet	Materum, Lawrence Y. Sivasondhivat, Kriangsak Takada, Jun-ichi Ida, Ichirou Oishi, Yasuyuki
author_sort	Materum, Lawrence Y.
title	Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
title_short	Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
title_full	Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
title_fullStr	Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
title_full_unstemmed	Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station
title_sort	identification of relatively strong clusters in an nlos scenario at a small urban macrocell mobile station
publisher	Animo Repository
publishDate	2007
url	https://animorepository.dlsu.edu.ph/faculty_research/8398
_version_	1767196869971148800

Identification of relatively strong clusters in an NLOS scenario at a small urban macrocell mobile station

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