In this paper, we consider the fluctuation of mutual information statistics of a multiple input multiple output channel communication systems without assuming that the entries of the channel matrix have zero pseudovariance. To this end, we also establish a central limit theorem of the linear spectral statistics for sample covariance matrices under general moment conditions by removing the restrictions imposed on the second moment and fourth moment on the matrix entries in Bai and Silverstein (2004)
56 pp. Extended version of the published article in IEEE Inf. Th. (march 2010) with more proofs.Inte...
International audienceThis work investigates the impact of imperfect statistical information in the ...
Large random matrix theory is a powerful mathematical tool used to study the performance of multi-us...
The asymptotic probability distribution of the mutual information of a separately correlated Rician ...
This paper characterizes the asymptotic distribution of the input-output mutual information of multi...
Let , with {vik, i, k=1, …} independent and identically distributed complex random variables. Write ...
An asymptotic analysis (in the number of antennas) of the achievable transmission rate on directiona...
Abstract — In a fading environment, the statistical distribution of the mutual information of a mult...
Using the Coulomb Fluid method, this paper derives central limit theorems (CLTs) for linear spectral...
International audienceThis paper studies the fluctuations of the mutual information of a class of mu...
none4noneH. Shin; M. Z. Win; J. H. Lee; M. ChianiH. Shin; M. Z. Win; J. H. Lee; M. Chian
Correlation tests of multiple Gaussian signals are typically formulated as linear spectral statistic...
Rician fading multiple-input multiple-output (MIMO) channels with Kronecker-decomposable covariance ...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
The random matrix theory presents a powerful tool to study of the performance indices of wireless co...
56 pp. Extended version of the published article in IEEE Inf. Th. (march 2010) with more proofs.Inte...
International audienceThis work investigates the impact of imperfect statistical information in the ...
Large random matrix theory is a powerful mathematical tool used to study the performance of multi-us...
The asymptotic probability distribution of the mutual information of a separately correlated Rician ...
This paper characterizes the asymptotic distribution of the input-output mutual information of multi...
Let , with {vik, i, k=1, …} independent and identically distributed complex random variables. Write ...
An asymptotic analysis (in the number of antennas) of the achievable transmission rate on directiona...
Abstract — In a fading environment, the statistical distribution of the mutual information of a mult...
Using the Coulomb Fluid method, this paper derives central limit theorems (CLTs) for linear spectral...
International audienceThis paper studies the fluctuations of the mutual information of a class of mu...
none4noneH. Shin; M. Z. Win; J. H. Lee; M. ChianiH. Shin; M. Z. Win; J. H. Lee; M. Chian
Correlation tests of multiple Gaussian signals are typically formulated as linear spectral statistic...
Rician fading multiple-input multiple-output (MIMO) channels with Kronecker-decomposable covariance ...
Let A = 1/√np(XT X−pIn) where X is a p×n matrix, consisting of independent and identically distribut...
The random matrix theory presents a powerful tool to study of the performance indices of wireless co...
56 pp. Extended version of the published article in IEEE Inf. Th. (march 2010) with more proofs.Inte...
International audienceThis work investigates the impact of imperfect statistical information in the ...
Large random matrix theory is a powerful mathematical tool used to study the performance of multi-us...