Joint fractional time allocation and beamforming for downlink multiuser MISO systems

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

Joint fractional time allocation and beamforming for downlink multiuser MISO systems

Nguyen, VD Tuan, HD

Duong, TQ Shin, OS Poor, HV

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Publication Type:: Journal Article
Citation:: IEEE Communications Letters, 2017, 21 (12), pp. 2650 - 2653
Issue Date:: 2017-12-01

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Field	Value	Language
dc.contributor.author	Nguyen, VD	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	Shin, OS	en_US
dc.contributor.author	Poor, HV	en_US
dc.date.available	2020-05-25T19:20:22Z
dc.date.issued	2017-12-01	en_US
dc.identifier.citation	IEEE Communications Letters, 2017, 21 (12), pp. 2650 - 2653	en_US
dc.identifier.issn	1089-7798	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127446
dc.description.abstract	© 2017 IEEE. It is well known that the use of traditional transmit beamforming at a base station (BS) to manage interference in serving multiple users is effective only when the number of users is less than the number of transmit antennas at the BS. Nonorthogonal multiple access (NOMA) can improve the throughput of users with poorer channel conditions by compromising their own privacy, because other users with better channel conditions can decode the information of users with poorer channel conditions. NOMA still prefers that the number of users is less than the number of antennas at the BS transmitter. This letter resolves such issues by allocating separate fractional time slots for serving users with similar channel conditions. This enables the BS to serve more users within a time unit while the privacy of each user is preserved. The fractional times and beamforming vectors are jointly optimized to maximize the system's throughput. An efficient path-following algorithm, which invokes a simple convex quadratic program at each iteration, is proposed for the solution of this challenging optimization problem. Numerical results confirm its versatility.	en_US
dc.relation.ispartof	IEEE Communications Letters	en_US
dc.relation.isbasedon	10.1109/LCOMM.2017.2747544	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Joint fractional time allocation and beamforming for downlink multiuser MISO systems	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	21	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0805 Distributed Computing	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.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

© 2017 IEEE. It is well known that the use of traditional transmit beamforming at a base station (BS) to manage interference in serving multiple users is effective only when the number of users is less than the number of transmit antennas at the BS. Nonorthogonal multiple access (NOMA) can improve the throughput of users with poorer channel conditions by compromising their own privacy, because other users with better channel conditions can decode the information of users with poorer channel conditions. NOMA still prefers that the number of users is less than the number of antennas at the BS transmitter. This letter resolves such issues by allocating separate fractional time slots for serving users with similar channel conditions. This enables the BS to serve more users within a time unit while the privacy of each user is preserved. The fractional times and beamforming vectors are jointly optimized to maximize the system's throughput. An efficient path-following algorithm, which invokes a simple convex quadratic program at each iteration, is proposed for the solution of this challenging optimization problem. Numerical results confirm its versatility.

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http://hdl.handle.net/10453/127446