Sum Rate Maximization for Regularized Zero-Forcing Precoder in 1-Bit MIMO

2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL(2023)

引用 0|浏览19
暂无评分
摘要
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.
更多
查看译文
关键词
MIMO downlink,regularized zero-forcing precoder,1-bit DAC,power allocation,asymptotic analysis,sum rate maximization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要