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Sequential Linear MIMO Precoder Optimization for Hybrid ARQ Retransmission of QAM Signals

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3 Author(s)
Xiao Liang ; National Mobile Communications Research Laboratory, Southeast Univ., Nanjing, P. R. China. Also with the Department of Electrical and Computer Engineering, Univ. of California, Davis, CA 95616 ; Chunming Zhao ; Zhi Ding

Our investigation centers on the issue of linear precoding for hybrid-ARQ retransmissions in linear multi-input-multi-output (MIMO) channels driven by non-Gaussian inputs. Leveraging recent works on single transmission MIMO precoding , we derive the gradient of input-output mutual information with respect to precoder matrix for optimization. We further establish that the right eigenvectors of optimum precoder are determined by the associated minimum mean-square error (MMSE) matrix. We then propose a gradient algorithm for maximizing the mutual information. Compared with precoders designed for Gaussian input, our new precoders can significantly improve the input-output mutual information, especially at low signal-to-noise ratio (SNR) and for lower dimensional constellations.

Published in:

IEEE Communications Letters  (Volume:15 ,  Issue: 9 )