Spectral and Energy Efficiencies in Full-Duplex Wireless Information and Power Transfer

Nguyen, VD; Duong, TQ; Tuan, HD; Shin, OS; Poor, HV

Spectral and Energy Efficiencies in Full-Duplex Wireless Information and Power Transfer

Nguyen, VD Duong, TQ Tuan, HD

Shin, OS Poor, HV

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Communications, 2017, 65 (5), pp. 2220 - 2233
Issue Date:: 2017-05-01

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Field	Value	Language
dc.contributor.author	Nguyen, VD	en_US
dc.contributor.author	Duong, TQ	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Shin, OS	en_US
dc.contributor.author	Poor, HV	en_US
dc.date.issued	2017-05-01	en_US
dc.identifier.citation	IEEE Transactions on Communications, 2017, 65 (5), pp. 2220 - 2233	en_US
dc.identifier.issn	0090-6778	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125166
dc.description.abstract	© 2017 IEEE. A communication system is considered consisting of a full-duplex multiple-antenna base station (BS) and multiple single-antenna downlink users (DLUs) and single-antenna uplink users (ULUs), where the latter need to harvest energy for transmitting information to the BS. The communication is thus divided into two phases. In the first phase, the BS uses all available antennas for conveying information to DLUs and wireless energy to ULUs via information and energy beamforming, respectively. In the second phase, ULUs send their independent information to the BS using their harvested energy while the BS transmits the information to the DLUs. In both the phases, the communication is operated at the same time and over the same frequency band. The aim is to maximize the sum rate and energy efficiency under ULU achievable information throughput constraints by jointly optimizing beamforming and time allocation. The utility functions of interest are nonconcave and the involved constraints are nonconvex, so these problems are computationally troublesome. To address them, path-following algorithms are proposed to arrive at least at local optima. The proposed algorithms iteratively improve the objectives with convergence guaranteed. Simulation results demonstrate that they achieve rapid convergence and outperform conventional solutions.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP130104617
dc.relation.ispartof	IEEE Transactions on Communications	en_US
dc.relation.isbasedon	10.1109/TCOMM.2017.2665488	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Spectral and Energy Efficiencies in Full-Duplex Wireless Information and Power Transfer	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	65	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	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.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 2017 IEEE. A communication system is considered consisting of a full-duplex multiple-antenna base station (BS) and multiple single-antenna downlink users (DLUs) and single-antenna uplink users (ULUs), where the latter need to harvest energy for transmitting information to the BS. The communication is thus divided into two phases. In the first phase, the BS uses all available antennas for conveying information to DLUs and wireless energy to ULUs via information and energy beamforming, respectively. In the second phase, ULUs send their independent information to the BS using their harvested energy while the BS transmits the information to the DLUs. In both the phases, the communication is operated at the same time and over the same frequency band. The aim is to maximize the sum rate and energy efficiency under ULU achievable information throughput constraints by jointly optimizing beamforming and time allocation. The utility functions of interest are nonconcave and the involved constraints are nonconvex, so these problems are computationally troublesome. To address them, path-following algorithms are proposed to arrive at least at local optima. The proposed algorithms iteratively improve the objectives with convergence guaranteed. Simulation results demonstrate that they achieve rapid convergence and outperform conventional solutions.

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http://hdl.handle.net/10453/125166