New optimized solution method for beamforming in cognitive multicast transmission

Phan, AH; Tuan, HD; Kha, HH

New optimized solution method for beamforming in cognitive multicast transmission

Phan, AH Tuan, HD

Kha, HH

Permalink

Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2010
Issue Date:: 2010-12-01

Closed Access

	Filename	Description	Size
	2010003586OK.pdf		155.21 kB	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	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	2010-12-01	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2010	en_US
dc.identifier.isbn	9781424435746	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16360
dc.description.abstract	The optimal beamforming for cognitive multicast transmission is a nonconvex rank-one constrained optimization problem. For a solution, a popular method is the combination of relaxed convex semi-definite programming, where the rank-one constraint is dropped, and randomization. We show that in many cases, this method cannot give satisfactory solutions. As an initial step, we propose a simple and efficient alternative method, which offers much better solutions. Several numerical simulation examples are provided to illustrate the effectiveness of our method. ©2010 IEEE.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VETECF.2010.5594325	en_US
dc.title	New optimized solution method for beamforming in cognitive multicast transmission	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Ottawa, Canada	en_US
dc.location.activity	WOS:000234235100005
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 optimal beamforming for cognitive multicast transmission is a nonconvex rank-one constrained optimization problem. For a solution, a popular method is the combination of relaxed convex semi-definite programming, where the rank-one constraint is dropped, and randomization. We show that in many cases, this method cannot give satisfactory solutions. As an initial step, we propose a simple and efficient alternative method, which offers much better solutions. Several numerical simulation examples are provided to illustrate the effectiveness of our method. ©2010 IEEE.

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

http://hdl.handle.net/10453/16360