Title :
An Efficient Channel Block Diagonalization Method for Generalized Zero Forcing Assisted MIMO Broadcasting Systems
Author :
Li, Wei ; Latva-aho, Matti
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
fDate :
3/1/2011 12:00:00 AM
Abstract :
Generalized Zero Forcing (GZF) is an extension of the zero forcing beamforming method to deal with downlink multiuser MIMO communications when users have more than one receive antenna. In literature, Singular Value Decomposition (SVD) based channel Block Diagonalization (BD) is proposed to eliminate multiuser interference for GZF, but it is computationally inefficient. In this letter, we propose to generate a GZF precoder by using the product of a channel pseudo inverse matrix and a block diagonal matrix with an appropriate form, whose optimality for solving weighted sum rate maximization and weighted sum power minimization problems is proven. Later by using the proposed precoder a novel BD method with significantly lower complexity is presented. The complexity analysis shows that our proposal is computationally more efficient than SVD-BD.
Keywords :
MIMO communication; antenna arrays; array signal processing; broadcasting; interference suppression; minimax techniques; precoding; radiofrequency interference; receiving antennas; singular value decomposition; GZF precoder; MIMO broadcasting systems; SVD-BD method; block diagonal matrix; channel pseudo inverse matrix; downlink multiuser MIMO communications; efficient channel block diagonalization method; generalized zero forcing; multiuser interference elimination; receive antenna; singular value decomposition; weighted sum power minimization problems; weighted sum rate maximization; zero forcing beamforming method; MIMO broadcasting; channel block diagonalization; generalized zero forcing; precoding;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2010.120310.100567