Impact of clustering in indoor MIMO propagation using a hybrid channel model

Tang, Z; Mohan, AS

Impact of clustering in indoor MIMO propagation using a hybrid channel model

Tang, Z Mohan, AS

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Publication Type:: Journal Article
Citation:: Eurasip Journal on Applied Signal Processing, 2005, 2005 (11), pp. 1698 - 1711
Issue Date:: 2005-07-11

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Field	Value	Language
dc.contributor.author	Tang, Z	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2005-07-11	en_US
dc.identifier.citation	Eurasip Journal on Applied Signal Processing, 2005, 2005 (11), pp. 1698 - 1711	en_US
dc.identifier.issn	1110-8657	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4225
dc.description.abstract	The clustering of propagating signals in indoor environments can influence the performance of multiple-input multiple-output (MIMO) systems that employ multiple-element antennas at the transmitter and receiver. In order to clarify the effect of clustering propagation on the performance of indoor MIMO systems, we propose a simple and efficient indoor MIMO channel model. The proposed model, which is validated with on-site measurements, combines the statistical characteristics of signal clusters with deterministic ray tracing approach. Using the proposed model, the effect of signal clusters and the presence of the line-of-sight component in indoor Ricean channels are studied. Simulation results on channel efficiency and the angular sensitivity for different antenna array topologies inside a specified indoor scenario are also provided. Our investigations confirm that the clustering of signals significantly affects the spatial correlation, and hence, the achievable indoor MIMO capacity. © 2005 Hindawi Publishing Corporation.	en_US
dc.relation	http://purl.org/au-research/grants/arc/C00107617
dc.relation.ispartof	Eurasip Journal on Applied Signal Processing	en_US
dc.relation.isbasedon	10.1155/ASP.2005.1698	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Impact of clustering in indoor MIMO propagation using a hybrid channel model	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	2005	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	2005	en_US

Abstract:

The clustering of propagating signals in indoor environments can influence the performance of multiple-input multiple-output (MIMO) systems that employ multiple-element antennas at the transmitter and receiver. In order to clarify the effect of clustering propagation on the performance of indoor MIMO systems, we propose a simple and efficient indoor MIMO channel model. The proposed model, which is validated with on-site measurements, combines the statistical characteristics of signal clusters with deterministic ray tracing approach. Using the proposed model, the effect of signal clusters and the presence of the line-of-sight component in indoor Ricean channels are studied. Simulation results on channel efficiency and the angular sensitivity for different antenna array topologies inside a specified indoor scenario are also provided. Our investigations confirm that the clustering of signals significantly affects the spatial correlation, and hence, the achievable indoor MIMO capacity. © 2005 Hindawi Publishing Corporation.

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http://hdl.handle.net/10453/4225