期刊文献+

基于旋转直积码本的3D有限反馈SDMA方案

Rotational kronecker-product codebook based 3-dimensional limited feedback SDMA
原文传递
导出
摘要 为平衡反馈开销和系统性能,在频分双工(FDD)系统下,针对三维多输入多输出(3D MIMO)系统的多用户预编码问题,提出一种应用于3D MIMO系统的基于统计信道信息的空分多址(SDMA)方法.首先,基于三维信道的空间相关性,提出3D MIMO中基于旋转直积的用户分簇码本设计,码本中每个分簇基的列向量相互正交,可作为发送方向用于下行预编码;其次,用户根据下行信道估计所得到的发端相关矩阵选取所在的分簇基及发送方向,并以长周期将其索引反馈至基站;最后,基站调度用户实现下行多用户传输.仿真结果表明:在信道相关性较高的情况下,该方法可以显著提升系统的吞吐量,且只须长时间向基站反馈信息,上行反馈开销极小. Considering the multi-user precoding in frequency division duplex(FDD)three dimensional multiple-input multiple-output(3D MIMO)systems,a space division multiple access(SDMA)method was proposed based on statistical channel information that can be applied in 3D MIMO system to balance system performance with feedback overhead.Based on the spatial correlation of 3D MIMO channel,a user-clustering codebook was first designed as the kronecker product of rotated discrete Fourier transformation(DFT)matrices,in which column vectors are orthogonal and can be used as transmitting directions for precoding.Users selected the corresponding clustering basis and transmitting directions based on the transmit-side correlation matrix obtained by downlink channel estimation,then fed the selection information back to base station(BS).Finally,BS transmited signal to the scheduled users.Simulation results demonstrate that the proposed SDMA method achieves high effectiveness with reduced feedback overhead when the channel correlation is high.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2017年第2期83-88,共6页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 综合业务网理论及关键技术国家重点实验室资助项目(ISN090105) 国家111创新引智基地资助项目(B08038) 中兴通信产学研论坛资助项目(REQ201510081402)
关键词 通信网络 三维多输入多输出系统 预编码 统计信道信息 空分多址 communication network three dimensional multiple-input multiple-output systems precoding statistical channel information space division multiple access
  • 相关文献

参考文献1

二级参考文献11

  • 1Marzetta,Thomas L.Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Transactions on Wireless Communications . 2010
  • 2Golub G H,Van Loan C.Matrix Computations. . 1996
  • 3Abed-Meraim, K.,Chkeif, A.,Hua, Y.Fast orthonormal PAST algorithm. IEEE Signal Processing Letters . 2000
  • 4Xingwang Li,Lihua Li,Ling Xie,Xin Su,Ping Zhang,Xuefeng Yin.??Performance Analysis of 3D Massive MIMO Cellular Systems with Collaborative Base Station(J)International Journal of Antennas and Propagation . 2014
  • 5Yan Li,Xiaodong Ji,Dong Liang,Yuan Li,Feifei Gao.??Dynamic Beamforming for Three-Dimensional MIMO Technique in LTE-Advanced Networks(J)<journal-title>International Journal of Antennas and Propagation . 2013
  • 6C.Lee,M.Lee,C.Huang.'Sectorization with Beam Pattren Design Using 3D Beamforming Techniques,'. Signal and Information Processing Association Annual Summit and Conference (APSIPA),2013 Asia-Pacific . 2013
  • 7R.Hunger.Floating Point Operations in MatrixVector Calculus. Technische Universit?t München,Associate Institute for Signal Processing,Tech.Rep . 2007
  • 8Y.Saad.Iterative Methods for Sparse Linear Systems. . 2003
  • 9Nokia Simense Networks,Liquid radio. http://www.nokiasiemensnetworks.com/por tfolio/liquidnet/liquidradio/ .
  • 10Alcatel Lucent.Lightradio. http://www.alcatellucent.com/lightradio/ .

共引文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部