Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO

被引：0
|
作者：
Asaad, Saba [1 ]
Bereyhi, Ali [1 ]
Mueller, Ralf R. [1 ]
Schaefer, Rafael F. [2 ]
机构：
[1] Friedrich Alexander Univ Erlangen Nurnberg, Inst Digital Commun, Erlangen, Germany
[2] Tech Univ Berlin, Informat Theory & Applicat Chair, Berlin, Germany
来源：
2019 IEEE 30TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2019年
关键词：
User selection; precoding; group LASSO; massive MIMO;
D O I：
10.1109/pimrc.2019.8904210
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：
Joint user selection and precoding in multiuser MIMO settings can be interpreted as group sparse recovery in linear models. In this problem, a signal with group sparsity is to be reconstructed from an underdetermined system of equations. This paper utilizes this equivalent interpretation and develops a computationally tractable algorithm based on the method of group LASSO. Compared to the state of the art, the proposed scheme shows performance enhancements in two different respects: higher achievable sum-rate and lower interference at the non-selected user terminals.
引用
收藏
页码：211 / 216
页数：6
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