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Journal Article Efficient Lattice-Reduction-Aided Successive Interference Cancellation for Clustered Multiuser MIMO System
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Authors
Jaehyun Park, Joohwan Chun
Issue Date
2012-07
Citation
IEEE Transactions on Vehicular Technology, v.61, no.8, pp.3643-3655
ISSN
0018-9545
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TVT.2012.2201967
Project Code
12PR2100, Development of cognitive radio communication technology using the UHF TV white space, Jeong Byung Jang
Abstract
The lattice-reduction (LR)-aided successive interference cancellation (SIC) is a well-known detection technique achieving near-maximum-likelihood (ML) performance in the multiuser system. However, the LR algorithm and the computation of sequential nulling vectors still incur considerable computational complexity overhead for a large number of mobile stations (MSs). To overcome it, we propose a decoupled LR-aided SIC for clustered MSs, in which the entire system is linearly decoupled into multiple lower dimensional subsystems before the LR-aided SIC is applied. In addition, efficient MS grouping algorithms are proposed to optimize the detection performance of the decoupled LR-aided SIC. The proposed LR-aided SIC with linear preprocessing exhibits a full diversity order, compared with the conventional LR-aided SIC, with considerable computational savings. Finally, to further improve the system performance, a nested LR-aided SIC with preprocessing is also developed. © 2012 IEEE.
KSP Keywords
Computational complexity, Diversity Order, Full diversity, MIMO system, Multiuser systems, Successive Interference Cancellation, System performance, detection performance, detection techniques, lattice reduction(LR), maximum likelihood