On the capacity achieving transmit covariance matrices of MIMO correlated Rician channels: a large system approach (2006)

Content Provider	CiteSeerX
Author	Dumont, Julien Lasaulce, Samson
Description	IEEE Proceedings of Globecom Technical Conference
Abstract	We determine the capacity-achieving input covariance matrices for coherent block-fading correlated MIMO Rician channels. In contrast with the Rayleigh and uncorrelated Rician cases, no closed-form expressions for the eigenvectors of the optimum input covariance matrix are available. Both the eigenvectors and eigenvalues have to be evaluated by using numerical techniques. As the corresponding optimization algorithms are not very attractive, we evaluate the limit of the average mutual information when the number of transmit and receive antennas converge to + ∞ at the same rate. If the channel is semi-correlated, we propose an attractive optimization algorithm of the large system approximant, and establish some convergence results. Simulation results show that our approach provide reliable results even for a quite moderate number of transmit and receive antennas. 1.
File Format	PDF
Publisher Date	2006-01-01
Access Restriction	Open
Subject Keyword	Rician Channel Receive Antenna Converge Capacity-achieving Input Covariance Matrix Coherent Block-fading Transmit Covariance Matrix Corresponding Optimization Algorithm Convergence Result Uncorrelated Rician Case Attractive Optimization Algorithm Average Mutual Information Mimo Rician Channel Quite Moderate Number Optimum Input Covariance Matrix Closed-form Expression Reliable Result Receive Antenna Large System Approach Simulation Result Large System Approximant Numerical Technique
Content Type	Text
Resource Type	Proceeding