Using cross-system diversity in heterogeneous networks: Throughput optimization
Performance Evaluation
BER and outage probability approximations for LMMSE detectors on correlated MIMO channels
IEEE Transactions on Information Theory
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
On the ergodic capacity and precoder design of flat fading MIMO systems equipped with MMSE receivers
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
A central limit theorem for the SINR at the LMMSE estimator output for large-dimensional signals
IEEE Transactions on Information Theory
The multicell processing capacity of the cellular MIMO uplink channel under correlated fading
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Information Theory
Why does the Kronecker model result in misleading capacity estimates?
IEEE Transactions on Information Theory
On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach
IEEE Transactions on Information Theory
| Hi-index | 755.20 |
This paper adresses the behavior of the mutual information of correlated multiple-input multiple-output (MIMO) Rayleigh channels when the numbers of transmit and receive antennas converge to +infin at the same rate. Using a new and simple approach based on Poincare-Nash inequality and on an integration by parts formula, it is rigorously established that the mutual information when properly centered and rescaled converges to a standard Gaussian random variable. Simple expressions for the centering and scaling parameters are provided. These results confirm previous evaluations based on the powerful but nonrigorous replica method. It is believed that the tools that are used in this paper are simple, robust, and of interest for the communications engineering community.