Paper Info
Title
Low-complexity transmission mode selection in MU-MIMO systems
Abstract
We propose a low-complexity transmission strategy in multi-user multiple-input multiple-output downlink systems. The adaptive strategy adjusts the precoding methods, denoted as the transmission mode, to improve the system sum rates while maintaining the number of simultaneously served users. Three linear precoding transmission modes are discussed, i.e., the block diagonalization zero-forcing, the cooperative zero-forcing (CZF), and the cooperative matched-filter (CMF). Considering both the number of data streams and the multiple-antenna configuration of users, we modify the common CZF and CMF modes by allocating data streams. Then, the transmission mode is selected between the modified ones according to the asymptotic sum rate analyses. As instantaneous channel state information is not needed for the mode selection, the computational complexity is significantly reduced. Numerical simulations confirm our analyses and demonstrate that the proposed scheme achieves substantial performance gains with very low computational complexity.
Year
DOI
Venue
2014
10.1109/ICT.2014.6845070
ICT
Keywords
DocType
Volume
cooperative matched-filter,radio links,multiuser multiple-input multiple-output downlink systems,matched filters,linear precoding transmission modes,precoding,cooperative communication,low-complexity transmission mode selection,data streams,cooperative zero-forcing,mu-mimo systems,antenna arrays,asymptotic sum rate analyses,wireless channels,multiple-antenna configuration,czf modes,mimo communication,cmf modes,block diagonalization zero-forcing,interference,computational complexity,downlink,mimo,telecommunications,base stations,signal to noise ratio
Journal
abs/1403.4374
Citations 
PageRank 
References 
2
0.40
8
Authors
4
Name
Order
Citations
PageRank
Haijing Liu1133.00
Hui Gao219414.93
Anzhong Hu3706.23
Tiejun Lv466997.19