Paper Info
Title
Robust BF in large-scale antenna systems with imperfect channel state information
Abstract
This paper addresses robust beamforming (BF) design for the uplink transmission of wireless networks, where the base station (BS) equipped with a very large number of antennas communicates with multiple users on the same frequency band simultaneously. Based on the assumption that the wireless channels undergo correlated Rayleigh fading, we first formulate an optimization problem to maximize the output signal-to-interference-plus-noise ratio (SINR) of the intended users. Then, by using the fact that channel uncertainty is norm-bounded and imperfect channel state information (CSI) is available at the BS, we transform the optimization problem to a support vector machine (SVM) regression one, and obtain the robust solution for the BF weight vectors by means of quadratic programming (QP) technique or iterative reweighted least squares (IRWLS) procedure. The computational cost of the proposed robust BF scheme depends on the number of channel vector samples rather than that of the antennas, thus it is suitable for the wireless systems with large-scale antennas. Finally, the efficiency and superiority of the proposed new scheme are confirmed through computer simulation.
Year
DOI
Venue
2014
10.1109/ICC.2014.6884024
ICC
Keywords
Field
DocType
large-scale antenna systems,base station,channel uncertainty,uplink transmission,robust bf,csi,quadratic programming,robust beamforming,sinr,regression analysis,svm regression,antenna arrays,wireless networks,array signal processing,optimization problem,signal-to-interference-plus-noise ratio,correlated rayleigh fading,least squares approximations,wireless channels,irwls procedure,iterative reweighted least squares procedure,imperfect channel state information,support vector machine regression,support vector machines,iterative methods,rayleigh channels,wireless communication,optimization,antennas,vectors,signal processing,robustness,signal to interference plus noise ratio
Base station,Wireless network,Beamforming,Mathematical optimization,Rayleigh fading,Computer science,Algorithm,Communication channel,Real-time computing,Quadratic programming,Optimization problem,Precoding
Conference
ISSN
Citations 
PageRank 
1550-3607
0
0.34
References 
Authors
18
4
Name
Order
Citations
PageRank
Min Lin16513.22
Jian Ouyang225024.08
Wei-Ping Zhu355562.46
Yongming Huang41472146.50