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.
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收藏
页数：5
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