中国邮电高校学报(英文) ›› 2012, Vol. 19 ›› Issue (5): 26-31.doi: 10.1016/S1005-8885(11)60296-3

• Wireless • 上一篇    下一篇

Low-Complexity SAGE-based MMSE Channel Estimation for CoMP Multi-user Systems

李晓辉1,王昕黑永强1   

  1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China
  • 收稿日期:2012-03-12 修回日期:2012-06-04 出版日期:2012-10-31 发布日期:2012-10-08
  • 通讯作者: 李晓辉 E-mail:xhli@mail.xidian.edu.cn
  • 基金资助:

    国家自然科学基金;国家重大科技专项;国家科技重大专项;111基地;中央高校基本科研业务费

Low-Complexity SAGE-based MMSE Channel Estimation for CoMP Multi-user Systems

LI Xiao-hui, WANG Xin, HEI Yong-qiang   

  1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China
  • Received:2012-03-12 Revised:2012-06-04 Online:2012-10-31 Published:2012-10-08
  • Contact: Xiao-Hui LI E-mail:xhli@mail.xidian.edu.cn
  • Supported by:

    ;National Key Scientific and Technological Project of China

摘要:

Coordinated multiple point transmission/reception (CoMP) has been investigated recently as a promising technology to increase the cell-edge user performance of LTE-Advanced, and channel estimation is a crucial technology for CoMP systems. In this paper, we consider a reduced-complexity Minimum Mean Square Error (MMSE) channel estimator for CoMP systems. The estimator uses Space Alternating Generalized-EM (SAGE) algorithm to avoid the inverse operation of the joint MMSE estimator. In the proposed scheme, the Base Stations (BSs) in the CoMP system estimate the channels of all the coordinated users serially and iteratively. We derive the SAGE-based estimators and analyze complexity. Simulation results verify that the performance of the proposed algorithm is close to the joint MMSE estimation algorithm while reducing the complexity greatly.

关键词:

CoMP, multiple user, SAGE, MMSE, channel estimation

Abstract:

Coordinated multiple point transmission/reception (CoMP) has been investigated recently as a promising technology to increase the cell-edge user performance of LTE-Advanced, and channel estimation is a crucial technology for CoMP systems. In this paper, we consider a reduced-complexity Minimum Mean Square Error (MMSE) channel estimator for CoMP systems. The estimator uses Space Alternating Generalized-EM (SAGE) algorithm to avoid the inverse operation of the joint MMSE estimator. In the proposed scheme, the Base Stations (BSs) in the CoMP system estimate the channels of all the coordinated users serially and iteratively. We derive the SAGE-based estimators and analyze complexity. Simulation results verify that the performance of the proposed algorithm is close to the joint MMSE estimation algorithm while reducing the complexity greatly.

Key words:

CoMP, multiple user, SAGE, MMSE, channel estimation