In a three-dimensional （3D） multiple- input multiple-output （MIMO） system, the base station can use both horizontal and vertical spaces, transmitting spatial beam to users more accurately. This system has caught t...In a three-dimensional （3D） multiple- input multiple-output （MIMO） system, the base station can use both horizontal and vertical spaces, transmitting spatial beam to users more accurately. This system has caught the attention of researchers in recent years. The existing research on the 3D MIMO technology is based on the assumption that the base station can acquire the ideal channel state information （CSI）, which is not actually the case in real systems. Therefore, this paper introduces a limited feedback transmission scheme based on mobile station （MS） compensation in the 3D MIMO system. In this scheme, the vertical antenna gain of the 3D MIMO system compensation is assigned to the MS. Two CSI-RS ports are configured at the base station, omnidirectional CSI-RS port and partial CSI-RS port. The MS can calculate the horizontal CSI and the vertical beam gain according to omnidirectional CSI-RS port and partial CSI- RS port, respectively. Partial CSI-RS resources are used to calculate the channel after being weighted by the vertical beam vector, MS selects the optimal vertical precoding vector. Simulations show that compared with the reference strategy, the transmission scheme with limited feedback based on the MS compensation proposed in this article has more advantages. The average spectral efficiency of the system and the cell edge spectral efficiency can be greatly improved.展开更多
信道估计是通过对基站接收信号和用户端发送的已知导频序列进行处理获得。二维嵌套阵列可以节约系统的成本并且得到大规模MIMO(multiple-input multiple-output)天线阵列的性能,然而由于二维嵌套阵列的结构不规整,直接对基站接收信号进...信道估计是通过对基站接收信号和用户端发送的已知导频序列进行处理获得。二维嵌套阵列可以节约系统的成本并且得到大规模MIMO(multiple-input multiple-output)天线阵列的性能,然而由于二维嵌套阵列的结构不规整,直接对基站接收信号进行处理具有一定的难度。本文提出一种基于2D-DFT(two-dimensional Discrete Fourier Transform)的信道重构算法,首先对接收信号做自相关处理转化为连续差分阵列的接收信号,其次通过2D-DFT估计出用户的初始DOA(the direction of arrival),然后利用角度旋转技术增强DOA估计实现超分辨率估计,再根据精确的DOA估计通过传统的LS(least squares)估计方法估计出信道增益;最后重构出用户的信道。数值仿真验证了算法的有效性。展开更多
基金the National Natural Science Foundation of China Grants No.61302106,51274018,the National Science & Technology Pillar Program Grants No.2013BAK06B03 Natural Science Foundation of Hebei Province No.F2014502029 and the Fundamental Research Funds for the Central Universities Grants No.2014MS100
文摘In a three-dimensional （3D） multiple- input multiple-output （MIMO） system, the base station can use both horizontal and vertical spaces, transmitting spatial beam to users more accurately. This system has caught the attention of researchers in recent years. The existing research on the 3D MIMO technology is based on the assumption that the base station can acquire the ideal channel state information （CSI）, which is not actually the case in real systems. Therefore, this paper introduces a limited feedback transmission scheme based on mobile station （MS） compensation in the 3D MIMO system. In this scheme, the vertical antenna gain of the 3D MIMO system compensation is assigned to the MS. Two CSI-RS ports are configured at the base station, omnidirectional CSI-RS port and partial CSI-RS port. The MS can calculate the horizontal CSI and the vertical beam gain according to omnidirectional CSI-RS port and partial CSI- RS port, respectively. Partial CSI-RS resources are used to calculate the channel after being weighted by the vertical beam vector, MS selects the optimal vertical precoding vector. Simulations show that compared with the reference strategy, the transmission scheme with limited feedback based on the MS compensation proposed in this article has more advantages. The average spectral efficiency of the system and the cell edge spectral efficiency can be greatly improved.
文摘信道估计是通过对基站接收信号和用户端发送的已知导频序列进行处理获得。二维嵌套阵列可以节约系统的成本并且得到大规模MIMO(multiple-input multiple-output)天线阵列的性能,然而由于二维嵌套阵列的结构不规整,直接对基站接收信号进行处理具有一定的难度。本文提出一种基于2D-DFT(two-dimensional Discrete Fourier Transform)的信道重构算法,首先对接收信号做自相关处理转化为连续差分阵列的接收信号,其次通过2D-DFT估计出用户的初始DOA(the direction of arrival),然后利用角度旋转技术增强DOA估计实现超分辨率估计,再根据精确的DOA估计通过传统的LS(least squares)估计方法估计出信道增益;最后重构出用户的信道。数值仿真验证了算法的有效性。
