Title
Mobile station spatio-temporal multipath clustering of an estimated wideband MIMO double-directional channel of a small urban 4.5GHZ Macrocell
Abstract
Multipath clusters in a wireless channel could act as additional channels for spatial multiplexing MIMO systems. However, identifying them in order to come up with better cluster channel models has been a hurdle due to how they are defined. This paper considers the identification of these clusters at themobile station through a middle ground approach--combining a globally optimized automatic clustering approach and manual clustering of the physical scatterers. By including the scattering verification in the cluster identification, better insight into their behavior in wireless channels would be known, especially the physical realism and eventually a more satisfactorily accurate cluster channel model could be proposed. The results show that overlapping clusters make up the majority of the observed channel, which stems from automatic clustering, whereas only a few clusters have clear delineation of their dispersion. In addition, it is difficult to judge the physical realism of overlapping clusters. This further points to a need for the physical interpretation and verification of clustering results, which is an initial step taken in this paper. From the identification results, scattering mechanisms of the clusters are presented and also their selected first and second order statistics.
Year
DOI
Venue
2009
10.1155/2009/804021
EURASIP J. Wireless Comm. and Networking
Keywords
Field
DocType
physical realism,additional channel,wireless channel,overlapping cluster,manual clustering,better cluster channel model,accurate cluster channel model,mobile station spatio-temporal multipath,clustering result,estimated wideband mimo double-directional,automatic clustering,automatic clustering approach,mobile station
Multipath propagation,Cluster (physics),Mobile station,Computer science,MIMO,Computer network,Communication channel,Cluster analysis,Macrocell,Spatial multiplexing
Journal
Volume
Issue
ISSN
2009,
1
1687-1499
Citations 
PageRank 
References 
11
0.87
14
Authors
4
Name
Order
Citations
PageRank
Lawrence Materum1131.59
Jun-ichi Takada223747.62
Ichirou Ida3507.59
Yasuyuki Oishi4338.87