  Motivated by a random matrix theory model from wireless communications, we
define random operator-valued matrices as the elements of
$L^{\infty-}(\Omega,{\mathcal F},{\mathbb P}) \otimes M_d({\mathcal A})$ where
$(\Omega,{\mathcal F},{\mathbb P})$ is a classical probability space and
$({\mathcal A},\varphi)$ is a non-commutative probability space. A central
limit theorem for the mean $M_d(\mathbb{C})$-valued moments of these random
operator-valued matrices is derived. Also a numerical algorithm to compute the
mean $M_d({\mathbb C})$-valued Cauchy transform of operator-valued semicircular
mixtures is analyzed.
