1-Bit Precoding for Massive MIMO Downlink with Linear Programming and a Greedy Algorithm Extension

被引：3

作者：

Askerbeyli, Ferhad ^{[1
,2
]}

Xu, Wen ^{[1
]}

Nossek, Josef A. ^{[2
]}

机构：

[1] Huawei Technol Duesseldorf GmbH, Munich Res Ctr, Munich, Germany

[2] Tech Univ Munich, Dept Elect & Comp Engn, Munich, Germany

来源：

2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING) | 2021年

关键词：

Constant envelope transmit signal processing; convex optimization; greedy algorithm; low resolution Digital-Analog-Converters (DACs); massive MIMO;

D O I：

10.1109/VTC2021-Spring51267.2021.9448924

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Employing 1-bit quantization in massive multiple-input-multiple-output (MIMO) systems is a promising approach to improve the power efficiency. Various linear and nonlinear precoding techniques including the maximum safety margin (MSM) precoder have been presented to cope with severe 1-bit quantization distortions. In this paper, we show the reason for MSM precoder's success in reducing the quantization distortions and propose a low complexity extension with a greedy algorithm by exploiting this analytic result. Numerical results illustrate that the extended MSM is almost optimal in terms of maximizing the constructive interference (CI) between the received signals.

引用

页数：5

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