[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 :
Electrical & electronics engineering
Author, co-author :
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)
External co-authors :
yes
Language :
English
Title :
Max-min transmit beamforming via iterative regularization
Publication date :
November 2016
Event name :
50th Asilomar Conference on Signals, Systems and Computers, November 2016
Event place :
Pacific Grove, CA, United States
Event date :
6-11-2016 to 9-11-2016
Audience :
International
Main work title :
50th Asilomar Conference on Signals, Systems and Computers, November 2016
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