New optimized solution method for beamforming in cognitive multicast transmission

A. H. Phan, H. D. Tuan, H. H. Kha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Proceedings
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall - Ottawa, ON, Canada
Duration: 6 Sep 20109 Sep 2010

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2010 IEEE 72nd Vehicular Technology Conference Fall, VTC2010-Fall
Country/TerritoryCanada
CityOttawa, ON
Period6/09/109/09/10

Fingerprint

Dive into the research topics of 'New optimized solution method for beamforming in cognitive multicast transmission'. Together they form a unique fingerprint.

Cite this