A Multi-Cell Beamforming Design by Uplink-Downlink Max-Min SINR Duality

被引:36
|
作者
He, Shiwen [1 ,2 ]
Huang, Yongming [1 ,2 ]
Yang, Luxi [1 ,2 ]
Nallanathan, A. [3 ]
Liu, Pingxiang [4 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Southeast Univ, Minist Educ, Key Lab Underwater Acoust Signal Proc, Nanjing 210096, Jiangsu, Peoples R China
[3] Kings Coll London, Dept Elect Engn, London, England
[4] Inst Marine Elect Equipment Res, Shanghai 201108, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-cell beamforming; Lagrangian duality theory; max-min SINR; min-max SINR; hierarchical iterative algorithm; POWER-CONTROL; MIMO; OPTIMIZATION; NETWORKS;
D O I
10.1109/TWC.2012.061912.111553
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
In this paper, we address the problem of the coordinated beamforming design for multi-cell multiple input single output (MISO) downlink system subject to per-BS power constraints. The objective is taken as the maximization of the minimum signal-to-interference plus noise ratio (SINR), while a complete analysis of the duality between the multi-cell downlink and the virtual uplink optimization problems is provided. A hierarchical iterative scheme is proposed to solve the virtual uplink optimization problem, whose solution is then converted to derive the one of the multi-cell downlink beamforming problem. The proposed algorithm is proved to converge to a stable point. Additional, the complexity of the proposed algorithm is analyzed. Simulation results show that, in contrast to existing multi-cell beamforming schemes, the proposed algorithm achieves better performance in terms of both rate per energy (RPE) and the worst-user rate.
引用
收藏
页码:2858 / 2867
页数:10
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