Joint identification of the clustering and cardinality of wireless propagation multipaths

Joint identification of the clustering and cardinality of wireless propagation multipaths

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 approache...

Full description

Saved in:
Bibliographic Details
Main Authors: Blanza, Jojo F., Materum, Lawrence
Format: text
Published: Animo Repository 2019
Subjects:
MIMO systems
Radio wave propagation
Electrical and Electronics
Manufacturing
Systems and Communications
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2593
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Description
Summary: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.

Similar Items