Spectral optimization for beamforming in MIMO relay wireless networks

Phan, AH; Tuan, HD; Kha, HH

Spectral optimization for beamforming in MIMO relay wireless networks

Phan, AH Tuan, HD

Kha, HH

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Publication Type:: Conference Proceeding
Citation:: 2012 4th International Conference on Communications and Electronics, ICCE 2012, 2012, pp. 156 - 160
Issue Date:: 2012-11-22

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Field	Value	Language
dc.contributor.author	Phan, AH	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Kha, HH	en_US
dc.date.issued	2012-11-22	en_US
dc.identifier.citation	2012 4th International Conference on Communications and Electronics, ICCE 2012, 2012, pp. 156 - 160	en_US
dc.identifier.isbn	9781467324939	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31744
dc.description.abstract	The amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay beamforming problems are conventionally formulated as nonconvex quadratic programs, and then the semidefinite relaxation (SDR) technique can be used to locate their optimal solutions. Although this technique can obtain the optimal beamforming, it introduces a large number of additional variables. Therefore, the computational complexity of the SDR method is prohibitively high when the number of antennas is high. In this paper, we recast the MIMO relay beamforming problem as an optimization problem of spectral functions. As compared to previous SDR methods, our formulation significantly reduces the number of auxiliary variables while the optimal solutions are still achieved by an efficient iterative algorithm. Consequently, as shown by numerical simulations, our proposed method offers a lower computational time as compared to the SDR formulation. © 2012 IEEE.	en_US
dc.relation.ispartof	2012 4th International Conference on Communications and Electronics, ICCE 2012	en_US
dc.relation.isbasedon	10.1109/CCE.2012.6315889	en_US
dc.title	Spectral optimization for beamforming in MIMO relay wireless networks	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	en_US
dc.location.activity	Hue, Vietnam
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:

The amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay beamforming problems are conventionally formulated as nonconvex quadratic programs, and then the semidefinite relaxation (SDR) technique can be used to locate their optimal solutions. Although this technique can obtain the optimal beamforming, it introduces a large number of additional variables. Therefore, the computational complexity of the SDR method is prohibitively high when the number of antennas is high. In this paper, we recast the MIMO relay beamforming problem as an optimization problem of spectral functions. As compared to previous SDR methods, our formulation significantly reduces the number of auxiliary variables while the optimal solutions are still achieved by an efficient iterative algorithm. Consequently, as shown by numerical simulations, our proposed method offers a lower computational time as compared to the SDR formulation. © 2012 IEEE.

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