Acta Metallurgica Sinica(English letters) ›› 2012, Vol. 19 ›› Issue (5): 26-31.doi: 10.1016/S1005-8885(11)60296-3

• Wireless • Previous Articles     Next Articles

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

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