Iterative Rank Minimization For Broadcast Beamforming

被引：0
|
作者：
Demir, Ozlem Tugfe [1 ]
Tuncer, T. Engin [1 ]
机构：
[1] Orta Dogu Tekn Univ, Elekt & Elekt Muhendisligi Bolumu, Ankara, Turkey
来源：
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年
关键词：
transmit beamformer; broadcast beamformer; semidefinite relaxation; convex optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Optimization problem of broadcast beamforming is nonconvex due to rank condition. Semidefinite relaxation (SDR) method is proposed to solve this problem. However, in certain cases, the performance of SDR becomes unacceptable. In this paper, an equivalent formulation of the original problem without rank condition is found. An iterative algorithm which is shown to converge to a rank one solution is presented. Experimental results show that the proposed algorithm is very effective and gives better results than other existing approaches.
引用
收藏
页码：1114 / 1117
页数：4
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