EFFICIENT SINR FAIRNESS ALGORITHM FOR LARGE DISTRIBUTED MULTIPLE-ANTENNA NETWORKS

被引:0
作者
Huang, Yichao [1 ]
Tan, Chee Wei [2 ]
Rao, Bhaskar D. [1 ]
机构
[1] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA
[2] City Univ Hong Kong, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
来源
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年
关键词
Power control; beamforming; large distributed multiple-antenna network; random matrix theory; nonlinear Perron-Frobenius theory; MIMO;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper studies the joint beamforming and power control in a multiuser distributed antenna uplink network, wherein the number of users and the number of separately located antennas grow large with ratio being bounded. We consider the SINR fairness problem under individual power constraint and present a distributed iterative algorithm. This algorithm, though converging to the instantaneous optimal solution, requires instantaneous power update. In order to design a low complexity algorithm that achieves optimality in the asymptotic sense, we leverage the large system structure to derive an asymptotic solution requiring only channel statistics. In this algorithm, the asymptotic power is slowly updated and the asymptotic beamformer can be obtained in a non-iterative manner. The convergence property of the proposed algorithm is also studied.
引用
收藏
页码:5026 / 5030
页数:5
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