Superimposed training designs for spatially correlated MIMO-OFDM systems

Tran, N; Tuan, H; Nguyen, H

Superimposed training designs for spatially correlated MIMO-OFDM systems

Tran, N Tuan, H

Nguyen, H

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Wireless Communications, 2010, 9 (3), pp. 876 - 880
Issue Date:: 2010-03-01

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Field	Value	Language
dc.contributor.author	Tran, N	en_US
dc.contributor.author	Tuan, H https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Nguyen, H	en_US
dc.date.issued	2010-03-01	en_US
dc.identifier.citation	IEEE Transactions on Wireless Communications, 2010, 9 (3), pp. 876 - 880	en_US
dc.identifier.issn	1536-1276	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15278
dc.description.abstract	Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design. © 2006 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Wireless Communications	en_US
dc.relation.isbasedon	10.1109/TWC.2010.03.080661	en_US
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Superimposed training designs for spatially correlated MIMO-OFDM systems	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	9	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	ISI:000277146000003	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 Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

Only one asymptotic training design for a special case of channel correlation was proposed in the literature for spatially correlated multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) systems. To fill this gap, this letter applies tractable semi-definite programming (SDP) to obtain the optimal superimposed training signals for the general case of channel correlation. For a more efficient computation, two approximate designs are also proposed. Simulation results demonstrate the efficiency of our approach and its advantage over the asymptotic design. © 2006 IEEE.

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http://hdl.handle.net/10453/15278