On Slow-Fading MIMO Systems With Nonseparable Correlation
IEEE Transactions on Information Theory(2008)
Abstract
In a frequency-selective slow-fading channel in a multiple-input multiple-output (MIMO) system, the channel matrix is of the form of a block matrix. A method is proposed to calculate the limit of the eigenvalue distribution of block matrices if the size of the blocks tends to infinity. Asymptotic eigenvalue distribution of is also calculated, where the entries of are jointly Gaussian, with a correlation of the form (where is fixed and does not increase with the size of the matrix). An operator-valued free probability approach is used to achieve this goal. Using this method, a system of equations is derived, which can be solved numerically to compute the desired eigenvalue distribution.
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Key words
MIMO communication,eigenvalues and eigenfunctions,fading channels,matrix algebra,probability,asymptotic eigenvalue distribution,block matrix,channel matrix,eigenvalue distribution,frequency-selective slow-fading channel,multiple-input multiple-output system,nonseparable correlation,operator-valued free probability approach,slow-fading MIMO systems,Cauchy transform,channel capacity,channel models,eigenvalue distribution,fading channels,free probability,intersymbol interference multiple-input multiple-output (MIMO) systems and random matrices
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