.png){kind=icon}
返回
Robust Precoding Designs for Multiuser MIMO Systems With Limited Feedback
.png){kind=icon}
OA
AI
DOI：10.1109/TWC.2024.3363766.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
It has been well known that the achievable rate of multiuser multiple-input multiple-output systems with limited feedback is severely degraded by quantization errors when the number of feedback bits is not sufficient. To overcome such a rate degradation, we propose new robust precoding designs which can compensate for the quantization errors. In this paper, we first analyze the achievable rate of traditional precoding designs for limited feedback systems. Then, we obtain an approximation of the second-order statistics of quantized channel state information. With the aid of the derived approximation, we propose robust precoding designs in terms of the mean square error (MSE) with conditional expectation in non-iterative and iterative fashions. For the non-iterative precoding design, we study a robust minimum MSE (MMSE) precoding algorithm by extending a new channel decomposition. Also, in the case of iterative precoding, we investigate a robust weighted MMSE (WMMSE) precoding to further improve the achievable rate. Simulation results show that the proposed precoding schemes yield significant improvements over traditional precoding designs.
Keyword:
Precoding
Quantization (signal)
Signal to noise ratio
Iterative methods
Degradation
Wireless communication
Mean square error methods
Limited feedback
multiuser-MIMO
robust precoding design
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
.png){kind=icon}
Snow Disaster Risk Assessment in China with the Multi-Layer Fuzzy Comprehensive Evaluation Method
PREAI
分享收藏Spectral and Energy Efficiency Analysis for SLNR Precoding in Massive MIMO Systems With Imperfect CSI具有不完全CSI的大规模MIMO系统中SLNR预编码的频谱和能量效率分析
OAAI
OAAI分享收藏
查看更多内容