Matrix analysis
Random matrix theory and wireless communications
Communications and Information Theory
On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach
IEEE Transactions on Information Theory
Capacity of MIMO Rician channels
IEEE Transactions on Wireless Communications
Capacity of correlated MIMO Rayleigh channels
IEEE Transactions on Wireless Communications
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Monotonicity results for coherent MIMO Rician channels
IEEE Transactions on Information Theory
Asymptotic Mutual Information Statistics of Separately Correlated Rician Fading MIMO Channels
IEEE Transactions on Information Theory
A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels
IEEE Transactions on Information Theory
Capacity limits of MIMO channels
IEEE Journal on Selected Areas in Communications
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
An information-theoretic look at MIMO energy-efficient communications
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
A G-estimator of the MIMO channel ergodic capacity
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach
IEEE Transactions on Information Theory
Asymptotic mutual information for Rician MIMO-MA channels with arbitrary inputs: a replica analysis
IEEE Transactions on Communications
| Hi-index | 755.02 |
In this paper, the capacity-achieving input covariance matrices for coherent block-fading correlated multiple input multiple output (MIMO) Rician channels are determined. In contrast with the Rayleigh and uncorrelated Rician cases, no closed-form expressions for the eigenvectors of the optimum input covariance matrix are available. Classically, both the eigenvectors and eigenvalues are computed numerically and the corresponding optimization algorithms remain computationally very demanding. In the asymptotic regime where the number of transmit and receive antennas converge to infinity at the same rate, new results related to the accuracy of the approximation of the average mutual information are provided. Based on the accuracy of this approximation, an attractive optimization algorithm is proposed and analyzed. This algorithm is shown to yield an effective way to compute the capacity achieving matrix for the average mutual information and numerical simulation results show that, even for a moderate number of transmit and receive antennas, the new approach provides the same results as direct maximization approaches of the average mutual information.