Joint identification of the clustering and cardinality of wireless propagation multipaths
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
12
First Page
762
Last Page
767
Publication Date
12-1-2019
Abstract
COST 2100 channel model (C2CM) wireless propagation multipaths taken from IEEE DataPort are grouped using simultaneous clustering and model selection (SCAMS). SCAMS solves simultaneously the membership and the number of clusters in contrast to just the number of clusters popular clustering approaches provide. The membership and the number of clusters rely on λ and ��, the parameters that avoid the trivial solution of the affinity matrix. Jaccard index is used to assess the accuracy of SCAMS by comparing the clustered multipaths with the reference multipath datasets from IEEE DataPort. © 2019, World Academy of Research in Science and Engineering. All rights reserved.
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Digitial Object Identifier (DOI)
10.30534/ijeter/2019/057122019
Recommended Citation
Blanza, J. F., & Materum, L. (2019). Joint identification of the clustering and cardinality of wireless propagation multipaths. International Journal of Emerging Trends in Engineering Research, 7 (12), 762-767. https://doi.org/10.30534/ijeter/2019/057122019
Disciplines
Electrical and Electronics | Manufacturing | Systems and Communications
Keywords
MIMO systems; Radio wave propagation
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