Optimized linear precoder in MIMO interference channel using D.C. programming

Tam, HHM; Che, E; Tuan, HD

Optimized linear precoder in MIMO interference channel using D.C. programming

Tam, HHM Che, E Tuan, HD

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Publication Type:: Conference Proceeding
Citation:: 2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings, 2013
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Tam, HHM	en_US
dc.contributor.author	Che, E	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings, 2013	en_US
dc.identifier.isbn	9781479913190	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28459
dc.description.abstract	In this paper, we are concerned with optimized linear precoding strategies for multiple-input multiple-output interference channels (MIMO-IFC). Under practical transmission power constraints, we aim at maximizing the sum-information-rate. To date, most developments could not directly address this problem. Instead, intermediate problems of simplification have been considered by means of alternating optimization, which fails to jointly optimize all the concerned variables. In this paper, we directly solve this problem by exploring its hidden d.c. (difference of convex functions) structure. The recast problem can be iteratively solved by d.c. iterations (DCIs), which guarantees the convergence to at least a local optimum. Numerical simulation results show that the proposed solutions offer improved performance. © 2013 IEEE.	en_US
dc.relation.ispartof	2013, 7th International Conference on Signal Processing and Communication Systems, ICSPCS 2013 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSPCS.2013.6723961	en_US
dc.title	Optimized linear precoder in MIMO interference channel using D.C. programming	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Australia	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

Abstract:

In this paper, we are concerned with optimized linear precoding strategies for multiple-input multiple-output interference channels (MIMO-IFC). Under practical transmission power constraints, we aim at maximizing the sum-information-rate. To date, most developments could not directly address this problem. Instead, intermediate problems of simplification have been considered by means of alternating optimization, which fails to jointly optimize all the concerned variables. In this paper, we directly solve this problem by exploring its hidden d.c. (difference of convex functions) structure. The recast problem can be iteratively solved by d.c. iterations (DCIs), which guarantees the convergence to at least a local optimum. Numerical simulation results show that the proposed solutions offer improved performance. © 2013 IEEE.

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http://hdl.handle.net/10453/28459