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A low complexity algorithm for linear precoder design with finite alphabet inputs

Authors: Mingxi Wang; Yahong Rosa Zheng; Chengshan Xiao; Weiliang Zeng;

A low complexity algorithm for linear precoder design with finite alphabet inputs

Abstract

A low complexity precoding method is proposed for practical multiple-input multiple-output (MIMO) systems. Based on the two-step optimal precoder design algorithm that maximizes the lower bound of the mutual information with finite-alphabet inputs, the proposed method simplifies the precoder design by fixing the right singular vectors of the precoder matrix to be the modulation diversity matrix, eliminating the iterative optimization between the two steps, and discretizing the search space of the power allocation vector. The modulation diversity matrices are designed for different modulations, which outperform the existing maximum diversity for BPSK and 8PSK inputs. For a 4×4 channel, the computational complexity of the proposed precoder design is reduced to 3% and 6% of that required by the original two-step algorithm with Quadrature Phase Shift Keying (QPSK) and 8PSK, respectively. The proposed method achieves nearly the same mutual information as the two-step iterative algorithm for a large range of SNR region.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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