Discrete MMSE Precoding for Multiuser MIMO Systems With PSK Modulation

doi:10.1109/TWC.2022.3170277

2022-10-01

Erico S. P. Lopes *

Lukas T. N. Landau

DOI：10.1109/TWC.2022.3170277

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摘要

En 中文

We propose an optimal MMSE precoding technique using quantized signals with constant envelope. Unlike the existing MMSE design that relies on 1-bit resolution, the proposed approach employs uniform phase quantization and the bounding step in the branch-and-bound method is different in terms of considering the most restrictive relaxation of the nonconvex problem, which is then utilized for a suboptimal design also. We also propose robust MMSE designs where we exploit second order statistics of a channel state information mismatch. Moreover, unlike prior studies, we propose three different soft detection methods and an iterative detection and decoding scheme that allow the utilization of channel coding in conjunction with low-resolution precoding. Besides an exact approach for computing the extrinsic information, we propose two approximations with reduced computational complexity. Numerical simulations show that utilizing the MMSE criterion instead of the established maximum-minimum distance to the decision threshold yields a lower bit-error-rate in many scenarios. Furthermore, when using the MMSE criterion, a smaller number of bound evaluations in the branch-and-bound method is required for low and medium SNR. Finally, results based on an LDPC block code indicate that the proposed receive processing schemes yield a lower bit-error-rate compared to the conventional design.

Keyword:

Precoding

Quantization (signal)

Wireless communication

Signal processing algorithms

Modulation

MIMO communication

Iterative decoding

Precoding

low-resolution quantization

phase quantization

MIMO systems