Results (1)
Search Parameters:
Keyword: Channel modelsVariation Between DDC and SCAMSMA for Clustering of Wireless MultipathWaves in Indoor and Semi-Urban Channel Scenarios
by Jojo Blanza and Lawrence Materum
Advances in Science, Technology and Engineering Systems Journal,
Volume 5,
Issue 6,
Page # 538–543,
2020;
DOI: 10.25046/aj050664
Abstract:
The performance of Simultaneous Clustering and Model Selection Matrix Affinity (SCAMSMA) and Deep Divergence-Based Clustering (DDC) in clustering wireless mul- tipaths generated by COST 2100 channel model (C2CM) is compared. Enhancing the accuracy of clustering multipaths is an open area of research which the clustering ap- proaches try to improve. Jaccard index is used as…
Read More(This article belongs to Section Telecommunications (TEL))
