.png){kind=icon}
返回
Pilot-Decontamination in Massive MIMO Systems Using Interference Alignment
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2019.2959780.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Pilot contamination (PC) is a practical drawback of massive multiple-input multiple-output (mMIMO) systems. It prevents the exploitation of the inherent spectral-efficiency (SE) of mMIMO systems, especially in dense networks. In this letter, we consider multi-antenna users in a multi-cell network and propose a novel approach based on interference alignment (IA) to remove PC. We show that the extra degrees of freedom (DoFs), provided by multi-antennas at the users & x2019; side, can be used efficiently when employed for pilot decontamination, especially in heavy-loaded networks. Thus, while the intra-cell interference is removed due to the properties of mMIMO the out-of-cell interference is eliminated by the proposed IA-based pilot decontamination. The proposed algorithm uses linear zero-forcing (ZF) and needs no continuous cooperation between the base stations (BSs). Moreover, the users need no channel state information (CSI). Our simulations show that the proposed method outperforms the conventional PC precoding algorithms significantly, particularly in heavy-loaded networks.
Keyword:
Massive multiple-input multiple-output (mMIMO)
interference alignment (IA)
Pilot contamination (PC)
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
Characterization of Macrophage Galactose-type Lectin (MGL) ligands in colorectal cancer cell lines
OAAI
OAAI分享收藏Pilot Decontamination in Noncooperative Massive MIMO Cellular Networks Based on Spatial Filtering基于空间滤波的非合作大规模MIMO蜂窝网络导频去污
PREAI
分享收藏Experimental Study of the Benefits of a Second Antenna at the User Side in a Massive MIMO System.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏 没有更多内容
没有更多内容