D.C. iterations for SINR maximin multicasting in Cognitive radio

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

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

5 Citations (Scopus)

Abstract

The design of transmit beamforming vectors to maximize the threshold of the signal-to-interference-plus-noise ratios (SINR) at the secondary receivers in cognitive multicast transmission is maximin optimization of quadratic fractional functions. There is no efficient solver for this hard maximin program. In the present paper, we show that the program can be effectively represented by a canonical d.c. (difference of convex functions) program of the same size. Accordingly, d.c. iterations are derived to locate its optimized solution. Our thorough numerical examples verify that the proposed algorithms offer almost global optimality whilst requiring relatively low computational load.

Original languageEnglish
Title of host publication6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Gold Coast, QLD, Australia
Duration: 12 Dec 201214 Dec 2012

Publication series

Name6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings

Conference

Conference6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period12/12/1214/12/12

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