DocumentCode :
80455
Title :
Linear Precoder Design for Doubly Correlated Partially Coherent Fading MIMO Channels
Author :
Yadav, Ankesh ; Juntti, Markku ; Lilleberg, Jorma
Author_Institution :
Dept. of Commun. Eng., Univ. of Oulu, Oulu, Finland
Volume :
13
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
3621
Lastpage :
3635
Abstract :
We consider the single-user multiple-input multiple-output (MIMO) precoder design problem for the doubly spatially correlated partially coherent Rayleigh fading channels with discrete inputs. The objective is to design a linear precoder to adapt to the degradation caused by the imperfect channel estimation at the receiver and the transmit-receive antenna correlation. The system is partially coherent so that the MIMO channel coefficients are estimated at the receiver and its error covariance matrix is fed back to the transmitter. We utilized the cutoff rate (CR) expression, an alternative to the mutual information (MI), and propose to use it as a design criterion to design the linear precoders. A linear precoder is obtained by numerically maximizing the CR with respect to the precoder matrix with a given average power constraint. Furthermore, the precoder matrix is decomposed using singular value decomposition (SVD) into the input shaping matrix, power loading matrix, and beamforming matrix. The beamforming matrix is found to coincide with the eigenvectors of the transmit correlation matrix. The power loading and input shaping matrices are solved numerically using the difference of convex (d.c.) functions programming algorithm and optimization under the unitary constraint, respectively. A 2-block alternating optimization (AO) algorithm is proposed to solve the input shaping matrix and power loading matrix iteratively. Precoders are designed to be used in conjunction with two MIMO transmission schemes: the spatial multiplexing (SM) and space-time (ST) block transmission modes. The frame error rate (FER) and average MI are used as the performance metrics to validate the performance of the newly designed CR-precoders in comparison with the conventional no-precoding case and cutoff rate optimized partially coherent constellations (PCCs). Numerical examples show that the performance gains of the designed precoders are significant compared to the CR-PCCs and conventional - odewords.
Keywords :
MIMO communication; Rayleigh channels; convex programming; correlation methods; covariance matrices; eigenvalues and eigenfunctions; error statistics; precoding; singular value decomposition; space division multiplexing; space-time block codes; FER; MIMO channel coefficients; MIMO precoder design problem; MIMO transmission schemes; PCC; SVD; alternating optimization algorithm; beamforming matrix; cutoff rate expression; difference of convex functions programming algorithm; discrete inputs; doubly spatially correlated partially coherent Rayleigh fading channels; eigenvectors; error covariance matrix; frame error rate; imperfect channel estimation; input shaping matrix; linear precoder; mutual information; no-precoding case; partially coherent constellations; power loading matrix; precoder matrix; single-user multiple-input multiple-output precoder design problem; singular value decomposition; space-time block transmission modes; spatial multiplexing transmission modes; transmit correlation matrix; transmit-receive antenna correlation; Channel estimation; Correlation; Loading; MIMO; Matrix decomposition; Optimization; Receivers; Linear precoder design; alternating optimization; cutoff rate; d.c. programming; multiple-input multiple-output (MIMO) systems; partial CSI; space??time block codes (STBC); spatial correlated channels; spatial multiplexing (SM); unitary space??time codes (USTC);
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2014.2317490
Filename :
6798756
Link To Document :
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