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

Ferhad Askerbeyli, Wen Xu, Josef A. Nossek

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

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.

OriginalspracheEnglisch
Titel2021 IEEE 93rd Vehicular Technology Conference, VTC 2021-Spring - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781728189642
DOIs
PublikationsstatusVeröffentlicht - Apr. 2021
Veranstaltung93rd IEEE Vehicular Technology Conference, VTC 2021-Spring - Virtual, Online
Dauer: 25 Apr. 202128 Apr. 2021

Publikationsreihe

NameIEEE Vehicular Technology Conference
Band2021-April
ISSN (Print)1550-2252

Konferenz

Konferenz93rd IEEE Vehicular Technology Conference, VTC 2021-Spring
OrtVirtual, Online
Zeitraum25/04/2128/04/21

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