Efficient Soft-Output Lattice-Reduction-Aided MIMO Detector with Low Complexity

Hyunsub KIM
Jaeseok KIM

IEICE TRANSACTIONS on Communications   Vol.E100-B    No.10    pp.1952-1958
Publication Date: 2017/10/01
Publicized: 2017/04/14
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3397
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
lattice reduction,  soft-output,  multiple-input multiple-output,  empty set problem,  

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In this paper, an improved lattice reduction (LR)-aided soft-output multiple-input multiple-output (MIMO) detector is proposed. Conventional LR-aided soft-output MIMO detectors involve the empty set problem (ESP), in which an entry with a particular bit in the candidate list might not exist. To overcome the performance degradation resulting from this ESP, a post-processing algorithm that modifies the candidate list is proposed. The proposed algorithm efficiently resolves the ESP by utilizing the near-orthogonality of the lattice-reduced system model so that the bit error rate (BER) performance is enhanced. In addition, as the complexity of the candidate list generation is reduced with the aid of the post-processing algorithm, the overall complexity is also reduced. Simulation results and the complexity comparisons demonstrate that our proposed method lowers the required Eb/No by 4-5 dB at the BER of 10-5 and the complexity by 13%-55%, compared to the conventional method.