Entropy of general Gaussian distributions and MIMO channel capacity maximizing precoder and decoder

Tuan, HD; Pham, DH; Vo, B; Nguyen, TQ

Entropy of general Gaussian distributions and MIMO channel capacity maximizing precoder and decoder

Tuan, HD

Pham, DH Vo, B Nguyen, TQ

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Publication Type:: Conference Proceeding
Citation:: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2007, 3
Issue Date:: 2007-08-06

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Field	Value	Language
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Pham, DH	en_US
dc.contributor.author	Vo, B	en_US
dc.contributor.author	Nguyen, TQ	en_US
dc.date.issued	2007-08-06	en_US
dc.identifier.citation	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2007, 3	en_US
dc.identifier.isbn	1424407281	en_US
dc.identifier.isbn	9781424407286	en_US
dc.identifier.issn	1520-6149	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16442
dc.description.abstract	Exploiting channel state information at the transmitter and receiver to design an optimal linear precoder and decoder for a multiple-input multiple-output (MIMO) communication system is an active research area. The design is often based on the information rate criterion, that is to design the precoder and decoder such that the system capacity is maximized, subject to the average transmit power constraint. Although such an optimization problem has been considered intensively and there have been numerous proposals so far, they are not rigorously correct. We propose a mathematically rigorous framework for solving this optimization problem. Our proposed solution is applicable to both MIMO flat fading and frequency selective fading channels. Simulations verify the theoretical analysis. ©2007 IEEE.	en_US
dc.relation.ispartof	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICASSP.2007.366538	en_US
dc.title	Entropy of general Gaussian distributions and MIMO channel capacity maximizing precoder and decoder	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Honolulu, HI	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.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

Exploiting channel state information at the transmitter and receiver to design an optimal linear precoder and decoder for a multiple-input multiple-output (MIMO) communication system is an active research area. The design is often based on the information rate criterion, that is to design the precoder and decoder such that the system capacity is maximized, subject to the average transmit power constraint. Although such an optimization problem has been considered intensively and there have been numerous proposals so far, they are not rigorously correct. We propose a mathematically rigorous framework for solving this optimization problem. Our proposed solution is applicable to both MIMO flat fading and frequency selective fading channels. Simulations verify the theoretical analysis. ©2007 IEEE.

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