Title :
On the Precoder Design for MIMO Systems over Correlated Rician Channels
Author :
Lin Zhang ; Xin Wang
Author_Institution :
Fujitsu R&D Center Co., Ltd., Beijing, China
Abstract :
In this paper, a precoding scheme for multiple antenna systems over correlated Rician fading channels is proposed. Based on the channel mean and spatial correlation, the proposed scheme updates the eigenvalues and eigenvector matrix of the precoding matrix, successively. Due to the unitary property, the problem associated with the eigenvector matrix can be modified as a Quadratically Constrained Quadratic Problem (QCQP). The Lagrange dual relaxation is applied to solve the QCQP by Semidefinite Programming (SDP). On the other hand, the problem associated with the eigenvalues is convex, thus optimal solution can be obtained for the following update. Simulation results show that the proposed scheme can guarantee the convergence and the symbol error rate (SER) performance is superior to that of the existing schemes.
Keywords :
MIMO communication; Rician channels; antenna arrays; eigenvalues and eigenfunctions; error statistics; mathematical programming; precoding; quadratic programming; Lagrange dual relaxation; MIMO systems; channel mean correlation; correlated Rician channels; eigenvalues matrix; eigenvector matrix; fading channels; multiple antenna systems; precoder design; quadratically constrained quadratic problem; semidefinite programming; spatial correlation; symbol error rate; Block codes; Correlation; Eigenvalues and eigenfunctions; Frequency modulation; Rician channels; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th
Conference_Location :
Las Vegas, NV
DOI :
10.1109/VTCFall.2013.6692319