Paper Info
Title
Joint precoding and antenna selection for large-scale MU-MIMO uplink systems
Abstract
This paper considers the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems, where, several mobile stations (MSs) cooperatively transmit hybrid messages, including common messages and private messages, to a single base station (BS). We aim to jointly design transmit precoding at the MSs side and antenna selection at the BS side to maximize the achievable system throughput. The problem at hand is nonconvex and difficult to solve mainly due to the antenna selection constraint. By exploiting the problem structure and linear relaxation, we propose using Frank-Wolfe (FW) method and the well-known weighted mean-square error minimization (WMMSE) approach to tackle the problem, leading to an efficient iterative algorithm. The convergence performance of the proposed algorithm is analyzed and its effectiveness is verified by numerical examples in terms of the achieved system throughput.
Year
DOI
Venue
2016
10.1109/WCSP.2016.7752522
2016 8th International Conference on Wireless Communications & Signal Processing (WCSP)
Keywords
Field
DocType
Linear precoders,large-scale MIMO,antenna selection,Frank-Wolfe,weighted MMSE
Base station,Mathematical optimization,Multi-user MIMO,Computer science,Iterative method,MIMO,Minification,Throughput,Precoding,Telecommunications link
Conference
ISSN
ISBN
Citations 
2325-3746
978-1-5090-2861-0
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Xiongfei Zhai141.73
Qingjiang Shi272556.93
Yunlong Cai38611.26
Minjian Zhao411827.18