Deep divergence-based clustering of wireless multipaths for simultaneously addressing the grouping and the cardinality

• Main Authors: Blanza, Jojo, Materum, Lawrence, Hirano, Takuichi
• Format: text
• Published: Animo Repository 2020
• Subjects: MIMO systems; Radio wave propagation; Electrical and Electronics; Manufacturing; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2592
• Institution: De La Salle University

Deep divergence-based clustering (DDC) is used to cluster COST 2100 channel model (C2CM) wireless propagation multipaths. The dataset is taken from the IEEE DataPort. DDC solves the membership of the clusters. DDC builds on information theoretic divergence measures and geometric regularization in or...