首页> 外文会议>International Conference on Wireless Communications and Signal Processing >Spatial domain method based on 2D-DoA estimation against pilot contamination for multi-cell massive MIMO systems
【24h】

Spatial domain method based on 2D-DoA estimation against pilot contamination for multi-cell massive MIMO systems

机译:基于2D-DoA估计的针对多小区大规模MIMO系统的导频污染的空间域方法

获取原文

摘要

This paper deals with the pilot contamination problem for multi-cell massive multiple-input and multiple-output (MIMO) mobile communication systems. The pilot contamination effect constitutes a major bottleneck for overall performance. Most of researches on pilot decontamination ignore the fact that different users can be distinguished by the direction of arrivals (DoA), even the users in different cells use the same pilots. We propose a spatial domain method based on two dimensions DoA (2D-DoA) which can distinguish the target user in 3D space. To obtain the desire signal's DoA, two type of 2D-DoA estimation methods are proposed. Utilizing the estimations to preprocess the received signals the interference can be suppressed effectively. Simulation results show the pilot contamination can be reduced obviously and the system performance can be improved significantly by the proposed method.
机译:本文讨论了多小区大规模多输入多输出(MIMO)移动通信系统的飞行员污染问题。飞行员的污染效应构成了总体性能的主要瓶颈。大多数有关飞行员去污的研究都忽略了这样一个事实,即即使到达不同小区的用户使用相同的飞行员,也可以通过到达方向(DoA)来区分不同的用户。我们提出了一种基于二维DoA(2D-DoA)的空间域方法,该方法可以区分3D空间中的目标用户。为了获得期望信号的DoA,提出了两种类型的2D-DoA估计方法。利用估计来预处理接收到的信号,可以有效地抑制干扰。仿真结果表明,所提出的方法可以明显减少飞行员的污染,并可以显着提高系统性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号