Spatial Sigma-Delta Modulation for Few-Bit MIMO Precoding: Quantization Error Suppression According to Channel State Information

被引:1
作者
Keung, Wai-Yiu [1 ,2 ]
Ma, Wing-Kin [2 ]
机构
[1] Chinese Univ Hong Kong, Dept Comp Sci & Engn, Hong Kong, Peoples R China
[2] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
来源
32ND EUROPEAN SIGNAL PROCESSING CONFERENCE, EUSIPCO 2024 | 2024年
关键词
massive MIMO downlink; coarsely quantized MIMO; precoding; Sigma Delta modulation; convex optimization; MASSIVE MIMO; SYSTEMS;
D O I
10.23919/EUSIPCO63174.2024.10715236
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper we consider a spatial Sigma-Delta (Sigma Delta) modulator design for massive MIMO downlink precoding with few-bit digital-to-analog converters (DACs). Spatial Sigma Delta modulation has recently been found to provide an effective way to contain the heavy quantization error effects caused by coarse quantization of the few-bit DACs. The idea is to shape the quantization errors as high-pass (or band-stop) noise, thereby serving users in a low-pass (or band-pass) angle sector with reduced quantization error effects. This paper studies a different idea where we shape the quantization errors according to users' channel state information. This allows more efficient quantization noise suppression in a user-targeted fashion. Our Sigma Delta modulator design is formulated and solved as a convex optimizaton problem. Numerical results show that the proposed user-targeted design significantly enhances the precoding performance compared to the existing first-order Sigma Delta modulator.
引用
收藏
页码:2072 / 2076
页数:5
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