On the marginal distribution of the eigenvalues ofWishart matrices
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Diversity gains of power control with noisy CSIT in MIMO channels
IEEE Transactions on Information Theory
Asymptotic analysis of outage region in CDMA MIMO systems
IEEE Transactions on Information Theory
Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Achievable sum rate of MIMO MMSE receivers: a general analytic framework
IEEE Transactions on Information Theory
Random matrix model for Nakagami-Hoyt fading
IEEE Transactions on Information Theory
A Bayesian framework for collaborative multi-source signal sensing
IEEE Transactions on Signal Processing
On marginal distributions of the ordered eigenvalues of certain random matrices
EURASIP Journal on Advances in Signal Processing
Hi-index | 755.08 |
A promising new method from the field of representations of Lie groups is applied to calculate integrals over unitary groups, which are important for multiantenna communications. To demonstrate the power and simplicity of this technique, a number of recent results are rederived, using only a few simple steps. In particular, we derive the joint probability distribution of eigenvalues of the matrix GGdagger , with G a nonzero mean or a semicorrelated Gaussian random matrix. These joint probability distribution functions can then be used to calculate the moment generating function of the mutual information for Gaussian multiple-input multiple-output (MIMO) channels with these probability distribution of their channel matrices G. We then turn to the previously unsolved problem of calculating the moment generating function of the mutual information of MIMO channels, which are correlated at both the receiver and the transmitter. From this moment generating function we obtain the ergodic average of the mutual information and study the outage probability. These methods can be applied to a number of other problems. As a particular example, we examine unitary encoded space-time transmission of MIMO systems and we derive the received signal distribution when the channel matrix is correlated at the transmitter end