Detection for Hybrid Beamforming Millimeter Wave Massive MIMO Systems

被引:6
|
作者
Izadinasab, Kazem [1 ]
Shaban, Ahmed Wagdy [1 ]
Damen, Oussama [1 ]
机构
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Radio frequency; Array signal processing; Detectors; Antenna arrays; Silicon carbide; Euclidean distance; Massive MIMO; maximum likelihood detection; subspace detection; hybrid beamforming;
D O I
10.1109/LCOMM.2020.3047994
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, we improve the error performance of hybrid beamforming millimeter wave (mmWave) massive multi-input multi-output (MIMO) systems by designing detectors for such systems. First, we discuss the effect of the mmWave channel parameters and hybrid beamforming settings on the equivalent channel, which consists of the precoder, mmWave channel, and combiner. Then, we propose a low-complexity near-optimal signal detection scheme for the equivalent channel. Using computer simulations, it is shown that the error performance can be significantly improved and computational complexity reduced compared to those of state-of-the-art MIMO detection schemes. We achieve this reduced complexity by exploiting the available structure in the equivalent channel.
引用
收藏
页码:1168 / 1172
页数:5
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