@inproceedings{d026774e6d9f4cfa91517c40b59fb213,
title = "Sum Rate Maximization for Regularized Zero-Forcing Precoder in 1-Bit MIMO",
abstract = "Many linear and nonlinear precoding techniques have been proposed to tackle the quantization distortions in the multiple-input-multiple-output (MIMO) downlink system deployed with 1-bit digital-to-analog converters (DACs). Very few of these techniques can support adequate sum rates in a realistic scenario with channel strength imbalances between the users. Higher sum rates can be achieved through a power allocation scheme which takes the 1-bit quantization distortions into account. In this paper, we propose a quantization aware sum rate maximizing power allocation algorithm for the regularized zero-forcing (RZF) precoder based on the asymptotic analysis. Numerical results illustrate that the proposed method achieves higher sum rates than the other state-of-the-art quantization aware sum rate maximization schemes.",
keywords = "1-bit DAC, MIMO downlink, asymptotic analysis, power allocation, regularized zero-forcing precoder, sum rate maximization",
author = "Ferhad Askerbeyli and Wen Xu and Nossek, {Josef A.}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 98th IEEE Vehicular Technology Conference, VTC 2023-Fall ; Conference date: 10-10-2023 Through 13-10-2023",
year = "2023",
doi = "10.1109/VTC2023-Fall60731.2023.10333355",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings",
}