.png){kind=icon}
返回
Gyre Precoding for MU-MIMO Systems
.png){kind=icon}
OA
AI
DOI：10.1109/LCOMM.2021.3082808.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work introduces Gyre Precoding (GP), a novel linear multi-user multiple-input multiple-output (MU-MIMO) precoding approach. GP performs rotations of the symbols of each spatial layer to optimize the precoding performance. To find the rotation angles, we propose a nearoptimal, gradient descent-based low-complexity algorithm. GP is constellation-agnostic and does not require significant changes to conventional receiver procedures or wireless standards. Computer evaluation results show that GP can achieve 8 dB SNR gains over linear precoding techniques and 2 dB over suboptimal symbol-level precoding (SLP) methods for a 16 x 16 MU-MIMO system. Furthermore, in a 64 x 12 massive-MIMO scenario in a 5G New Radio (5GNR) setup, GP achieves a 13% higher throughput gain over zero-forcing precoding.
Keyword:
Multi-user multiple-input multiple-output (MU-MIMO)
precoding
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
Direct Reaction of Silicon with α−ω Dichloroalkanes: Direct Formation of Dichlorosilacyclopentane
.png){kind=icon}
PREAI
分享收藏
分享收藏 没有更多内容
没有更多内容