Title :
Low-Complexity Channel Estimation for CoMP Multi-User Systems
Author :
Wang, Xin ; Li, Xiaohui ; Hei, Yongqiang
Author_Institution :
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an, China
Abstract :
This paper presents a novel reduced-complexity channel estimator for Coordinated Multi-point (CoMP) multi-user systems. The proposed scheme is based on Space Alternating Generalized-EM (SAGE) algorithm combining with the Least Square (LS) criterion. Aiming at the problem that the conventional joint multi-user LS estimator introduces the complex inversion of large size matrix when using non-orthogonal pilots, the proposed estimator avoids the inverse operation by transforming the joint multi-user estimation into a series of single-user estimating process in an iterative way. Simulation results verify that the proposed algorithm obtain huge complexity reduction, while achieving the optimal performance of joint LS channel estimation for the CoMP systems.
Keywords :
channel estimation; expectation-maximisation algorithm; least mean squares methods; matrix inversion; multiuser channels; CoMP multiuser system; SAGE algorithm; coordinated multipoint multiuser systems; joint LS channel estimation; joint multiuser estimation; least square criterion; low-complexity channel estimation; multiuser LS estimator; reduced-complexity channel estimator; space alternating generalized-EM algorithm; Channel estimation; Complexity theory; Estimation; Joints; Simulation; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2012 IEEE
Conference_Location :
Quebec City, QC
Print_ISBN :
978-1-4673-1880-8
Electronic_ISBN :
1090-3038
DOI :
10.1109/VTCFall.2012.6398896
