Paper Info
Title
System Level Performance of Downlink MU-MIMO Transmission for 3GPP LTE-Advanced
Abstract
We investigate enhanced downlink multiuser multiple input multiple output (MU-MIMO) transmission schemes for 3GPP LTE-Advanced based on system level simulations. As compared to Rel. 8 LTE single user MIMO (SU-MIMO), MU-MIMO has the potential to better exploit the spatial dimension of MIMO channels in some scenarios. Although Rel. 8 LTE defines a simple MU-MIMO mode, more advanced MU-MIMO techniques are currently discussed towards Rel. 10 LTE-Advanced to further improve the spectral efficiency. In this paper, we focus on zero-forcing (ZF) MU-MIMO precoding with an explicit channel quantization mechanism called channel vector quantization (CVQ). Moreover, we consider two different criteria of CVQ at the receiver: either minimizing Euclidean distance or maximizing the signal to interference plus noise power ratio (SINR). A number of system level simulations reveal significant potential gains of ZF MU-MIMO as compared to those of Rel. 8 LTE SU/MU-MIMO in terms of both cell throughput and cell-edge user throughput when the spatial correlations at the base station (eNB) are relatively high. The potential gain of ZF MU-MIMO is shown to be further improved when the CVQ is based on the SINR maximization criterion instead of Euclidean distance minimization.
Year
DOI
Venue
2010
10.1109/VETECS.2010.5493979
VTC Spring
Keywords
Field
DocType
base station,su-mimo,zero-forcing mu-mimo precoding,single-user mimo,mimo channels,precoding,multiuser multiple input multiple output transmission,zf mu-mimo,sinr maximization criterion,vector quantisation,rel. 10 lte-advanced,wireless channels,euclidean distance minimization,mimo communication,3g mobile communication,rel. 8 lte,system level performance,enhanced downlink mu-mimo transmission,channel vector quantization,3gpp lte-advanced,signal-to-interference-plus-noise power ratio,spatial correlation,quantization,interference,base stations,mimo,euclidean distance,spectral efficiency,throughput,feedback,signal to noise ratio,transmitters,signal processing,downlink,zero forcing,computational modeling
Multi-user MIMO,Computer science,Euclidean distance,Signal-to-noise ratio,MIMO,Electronic engineering,Spectral efficiency,Precoding,Telecommunications link,LTE Advanced
Conference
ISSN
ISBN
Citations 
1550-2252 E-ISBN : 978-1-4244-2519-8
978-1-4244-2519-8
12
PageRank 
References 
Authors
0.88
7
5
Name
Order
Citations
PageRank
Katsutoshi Kusume118319.20
Guido Dietl212715.21
T. Abe3120.88
H. Taoka4120.88
S. Nagata5120.88