Optimized coordinated precoding in multicell MIMO wireless systems

Che, E; Tuan, HD

Optimized coordinated precoding in multicell MIMO wireless systems

Che, E Tuan, HD

Publication Type:: Conference Proceeding
Citation:: 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 188 - 191
Issue Date:: 2013-12-31

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Field	Value	Language
dc.contributor.author	Che, E	en_US
dc.contributor.author	Tuan, HD	en_US
dc.date.issued	2013-12-31	en_US
dc.identifier.citation	13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 188 - 191	en_US
dc.identifier.isbn	9781467355803	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120825
dc.description.abstract	This paper is concerned with downlink transmissions in coordinated multiple-input multi-output (MIMO) multicell wireless networks. The design of the transmit precoding matrices in this paper aims at the maximin optimization of user rates subject to realistic power constraints at the transmitters. This problem is a nonconvex objective function subject to convex constraints with respect to high-dimensional matrix variables. Up to date, a closed-form solution has not been properly proposed. Nevertheless, we show the objective functions can be analytically represented by d.c. (difference of two convex) functions. A simple but very efficient d.c. iterative algorithm (DCI) with guaranteed convergence is shown to locate the approximately optimal matrix solutions with the help of only a few converging semi-definite programs (SDP). © 2013 IEEE.	en_US
dc.relation.ispartof	13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013	en_US
dc.relation.isbasedon	10.1109/ISCIT.2013.6645847	en_US
dc.title	Optimized coordinated precoding in multicell MIMO wireless systems	en_US
dc.type	Conference Proceeding
utslib.description.version	Published	en_US
utslib.for	0903 Biomedical Engineering	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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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Abstract:

This paper is concerned with downlink transmissions in coordinated multiple-input multi-output (MIMO) multicell wireless networks. The design of the transmit precoding matrices in this paper aims at the maximin optimization of user rates subject to realistic power constraints at the transmitters. This problem is a nonconvex objective function subject to convex constraints with respect to high-dimensional matrix variables. Up to date, a closed-form solution has not been properly proposed. Nevertheless, we show the objective functions can be analytically represented by d.c. (difference of two convex) functions. A simple but very efficient d.c. iterative algorithm (DCI) with guaranteed convergence is shown to locate the approximately optimal matrix solutions with the help of only a few converging semi-definite programs (SDP). © 2013 IEEE.

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http://hdl.handle.net/10453/120825