BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems

A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of...

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Main Authors: Abinoja, Daniel Dominic N., Materum, Lawrence Y.
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Published: Animo Repository 2017
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2588
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-3587
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-35872021-10-18T09:01:29Z BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems Abinoja, Daniel Dominic N. Materum, Lawrence Y. A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of a parameter selection framework utilizing the Bayesian Information Criterion (BIC). Statistical preprocessing with support vector decomposition and normalization will also be handled. © 2016 IEICE. 2017-01-17T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/2588 Faculty Research Work Animo Repository Radio—Transmitters and transmission Radio wave propagation Electrical and Computer Engineering Electrical and Electronics 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 Radio—Transmitters and transmission
Radio wave propagation
Electrical and Computer Engineering
Electrical and Electronics
Systems and Communications
spellingShingle Radio—Transmitters and transmission
Radio wave propagation
Electrical and Computer Engineering
Electrical and Electronics
Systems and Communications
Abinoja, Daniel Dominic N.
Materum, Lawrence Y.
BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
description A novel framework to optimize the identification clustering of multipath scatterers in a MIMO wireless system is proposed. It is a comprehensive evaluation of major cluster identification methods across multiple categories of clustering methodologies. The reliability will be ensured with the use of a parameter selection framework utilizing the Bayesian Information Criterion (BIC). Statistical preprocessing with support vector decomposition and normalization will also be handled. © 2016 IEICE.
format text
author Abinoja, Daniel Dominic N.
Materum, Lawrence Y.
author_facet Abinoja, Daniel Dominic N.
Materum, Lawrence Y.
author_sort Abinoja, Daniel Dominic N.
title BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
title_short BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
title_full BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
title_fullStr BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
title_full_unstemmed BIC-based optimization of the identification of multipath propagation clusters in MIMO wireless systems
title_sort bic-based optimization of the identification of multipath propagation clusters in mimo wireless systems
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/faculty_research/2588
_version_ 1715215541772222464