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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kusume, K. Dietl, G. Abe, T. Taoka, H. Nagata, S. |
| Copyright Year | 2010 |
| 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. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 338844 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424425181 |
| ISSN | 15502252 |
| DOI | 10.1109/VETECS.2010.5493979 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-16 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Downlink MIMO Transmitters Feedback Signal to noise ratio Signal processing Quantization Euclidean distance Throughput Base stations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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