Low-complexity SAGE-based MMSE channel estimation for CoMP multi-user systems  

Low-complexity SAGE-based MMSE channel estimation for CoMP multi-user systems

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作  者:LI Xiao-hui WANG Xin HEI Yong-qiang 

机构地区:[1]State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,China

出  处:《The Journal of China Universities of Posts and Telecommunications》2012年第5期26-31,38,共7页中国邮电高校学报(英文版)

基  金:supported by the National Natural Science Foundation of China(60702060);111 Project of China(B08038);the Fundamental Research Funds for the Central Universities (K50510010016);the State Major Projects of the Next Generation Broadband Wireless Mobile Communication Networks (2012ZX03001027-001)

摘  要:Coordinated multiple point (CoMP) transmission/reception has been investigated recently as a promising technology to increase the cell-edge user performance of long term evolution-advanced (LTE-A), 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 expectation maximization (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.Coordinated multiple point (CoMP) transmission/reception has been investigated recently as a promising technology to increase the cell-edge user performance of long term evolution-advanced (LTE-A), 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 expectation maximization (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 

分 类 号:TP316[自动化与计算机技术—计算机软件与理论] TN929.533[自动化与计算机技术—计算机科学与技术]

 

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