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Journal Article Channel Quantization for Block Diagonalization with Limited Feedback in Multiuser MIMO Downlink Channels
Cited 13 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Sung-Hyun Moon, Sang-Rim Lee, Jin-Sung Kim, Inkyu Lee
Issue Date
2014-02
Citation
Journal of Communications and Networks, v.16, no.1, pp.1-9
ISSN
1229-2370
Publisher
한국통신학회
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/JCN.2014.000003
Abstract
Block diagonalization (BD) has been proposed as a simple and effective technique in multiuser multiple-input multipleoutput (MU-MIMO) broadcast channels. However, when channel state information (CSI) knowledge is limited at the transmitter, the performance of the BD may be degraded because inter-user interference cannot be completely eliminated. In this paper, we propose an efficient CSI quantization technique for BD precoded systems with limited feedback where users supported by a base station are selected by dynamic scheduling. First, we express the received signal-to-interference-plus-noise ratio (SINR) when multiple data streams are transmitted to the user, and derive a lower bound expression of the expected received SINR at each user. Then, based on this measure, each user determines its quantized CSI feedback information which maximizes the derived expected SINR, which comprises both the channel direction and the amplitude information. From simulations, we confirm that the proposed SINR-based channel quantization scheme achieves a significant sum rate gain over the conventional method in practical MU-MIMO systems. © 2014 KICS.
KSP Keywords
Amplitude information, Broadcast channel, CSI Feedback, Channel State Information(CSI), Conventional methods, Dynamic scheduling, Feedback information, Inter-user interference, Lower bound, MIMO system, Multiple data streams