Precoder design for signal superposition in MIMO-NOMA multicell networks

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

Precoder design for signal superposition in MIMO-NOMA multicell networks

Nguyen, VD Tuan, HD

Duong, TQ Poor, HV Shin, OS

Permalink

Publication Type:: Journal Article
Citation:: IEEE Journal on Selected Areas in Communications, 2017, 35 (12), pp. 2681 - 2695
Issue Date:: 2017-12-01

Closed Access

	Filename	Description	Size
	07974739.pdf	Published Version	1.82 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

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	Poor, HV	en_US
dc.contributor.author	Shin, OS	en_US
dc.date.issued	2017-12-01	en_US
dc.identifier.citation	IEEE Journal on Selected Areas in Communications, 2017, 35 (12), pp. 2681 - 2695	en_US
dc.identifier.issn	0733-8716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/125313
dc.description.abstract	© 2017 IEEE. The throughput of users with poor channel conditions, such as those at a cell edge, is a bottleneck in wireless systems. A major part of the power budget must be allocated to serve these users in guaranteeing their quality-of-service (QoS) requirements, hampering QoS for other users, and thus compromising the system reliability. In non-orthogonal multiple access (NOMA), the message intended for a user with a poor channel condition is decoded by itself and by another user with a better channel condition. The message intended for the latter is then successively decoded by itself after canceling the interference of the former. The overall information throughput is thus improved by this particular successive decoding and interference cancellation. This paper aims to design linear precoders/beamformers for signal superposition at the base stations of NOMA multiple-input multiple-output multi-cellular systems to maximize the overall sum throughput subject to the users' QoS requirements, which are imposed independently on the users' channel conditions. This design problem is formulated as the maximization of a highly nonlinear and nonsmooth function subject to nonconvex constraints, which is very computationally challenging. Pathfollowing algorithms for its solution, which invoke only a simple convex problem of moderate dimension at each iteration, are developed. Generating a sequence of improved points, these algorithms converge at least to a local optimum. Extensive numerical simulations are then provided to demonstrate their merit.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP130104617
dc.relation.ispartof	IEEE Journal on Selected Areas in Communications	en_US
dc.relation.isbasedon	10.1109/JSAC.2017.2726007	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Precoder design for signal superposition in MIMO-NOMA multicell networks	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	35	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	closed_access	*
dcterms.isVersionOf	Free to read version at https://arxiv.org/abs/1706.01741
pubs.issue	12	en_US
pubs.publication-status	Published	en_US
pubs.volume	35	en_US

Abstract:

© 2017 IEEE. The throughput of users with poor channel conditions, such as those at a cell edge, is a bottleneck in wireless systems. A major part of the power budget must be allocated to serve these users in guaranteeing their quality-of-service (QoS) requirements, hampering QoS for other users, and thus compromising the system reliability. In non-orthogonal multiple access (NOMA), the message intended for a user with a poor channel condition is decoded by itself and by another user with a better channel condition. The message intended for the latter is then successively decoded by itself after canceling the interference of the former. The overall information throughput is thus improved by this particular successive decoding and interference cancellation. This paper aims to design linear precoders/beamformers for signal superposition at the base stations of NOMA multiple-input multiple-output multi-cellular systems to maximize the overall sum throughput subject to the users' QoS requirements, which are imposed independently on the users' channel conditions. This design problem is formulated as the maximization of a highly nonlinear and nonsmooth function subject to nonconvex constraints, which is very computationally challenging. Pathfollowing algorithms for its solution, which invoke only a simple convex problem of moderate dimension at each iteration, are developed. Generating a sequence of improved points, these algorithms converge at least to a local optimum. Extensive numerical simulations are then provided to demonstrate their merit.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/125313