Beamforming and power allocation for energy-efficient massive MIMO

Nguyen, LD; Tuan, HD; Duong, TQ; Poor, HV

Beamforming and power allocation for energy-efficient massive MIMO

Nguyen, LD Tuan, HD

Duong, TQ Poor, HV

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Publication Type:: Conference Proceeding
Citation:: International Conference on Digital Signal Processing, DSP, 2017, 2017-August
Issue Date:: 2017-11-03

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Field	Value	Language
dc.contributor.author	Nguyen, LD	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Duong, TQ	en_US
dc.contributor.author	Poor, HV	en_US
dc.date.available	2020-05-25T19:05:00Z
dc.date.issued	2017-11-03	en_US
dc.identifier.citation	International Conference on Digital Signal Processing, DSP, 2017, 2017-August	en_US
dc.identifier.isbn	9781538618950	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126600
dc.description.abstract	© 2017 IEEE. Massive multiple input multiple output (MIMO) has emerged as a promising technology, which utilizes a large number of antennas at base stations (BSs) to significantly improve the spectral efficiency in terms of bits/s/Hz while reducing the radiated signal power. A critical issue with massive MIMO is the costly circuit power consumption, which is proportional to the number of antennas. This paper develops low-complexity power allocation techniques to apply beamforming and to maximize the energy efficiency of massive MIMO while meeting users' quality-of-service requirements. Algorithms of low computational complexity with rapid convergence are proposed to solve for the optimal beamformer in this sense. Numerical examples are provided to show the merit of the proposed computational approach.	en_US
dc.relation.ispartof	International Conference on Digital Signal Processing, DSP	en_US
dc.relation.isbasedon	10.1109/ICDSP.2017.8096127	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Beamforming and power allocation for energy-efficient massive MIMO	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-August	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
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-August	en_US

Abstract:

© 2017 IEEE. Massive multiple input multiple output (MIMO) has emerged as a promising technology, which utilizes a large number of antennas at base stations (BSs) to significantly improve the spectral efficiency in terms of bits/s/Hz while reducing the radiated signal power. A critical issue with massive MIMO is the costly circuit power consumption, which is proportional to the number of antennas. This paper develops low-complexity power allocation techniques to apply beamforming and to maximize the energy efficiency of massive MIMO while meeting users' quality-of-service requirements. Algorithms of low computational complexity with rapid convergence are proposed to solve for the optimal beamformer in this sense. Numerical examples are provided to show the merit of the proposed computational approach.

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http://hdl.handle.net/10453/126600