[en] This paper introduces an iterative optimization framework to tackle the multi-group multicast Max-Min transmit beamforming problem. In each iteration, the optimization problem is decomposed into four sub-problems, all of which can be solved using computationally efficient algorithms. The advantage of proposed method lies in its ability to handle different types of signal constraints like total power and unimodularity; a feature not exhibited by other techniques. The proposed technique outperforms the well-known semidefinite relaxation method in terms of quality of solutions
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
GHARANJIK, Ahmad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
SHANKAR, Bhavani ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Soltanalian, Mojtaba; University of Illinois at Chicago (UIC) > Department of Electrical and Computer Engineering > Assistant Professor
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Max-min transmit beamforming via iterative regularization
Date de publication/diffusion :
novembre 2016
Nom de la manifestation :
50th Asilomar Conference on Signals, Systems and Computers, November 2016
Lieu de la manifestation :
Pacific Grove, CA, Etats-Unis
Date de la manifestation :
6-11-2016 to 9-11-2016
Manifestation à portée :
International
Titre de l'ouvrage principal :
50th Asilomar Conference on Signals, Systems and Computers, November 2016
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