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Multiple-input multiple-output (MIMO) systems are
being considered as one of the key enabling technologies for future
wireless networks. However, the decrease in capacity due to the
presence of interferers in MIMO networks is not well understood.
In this paper, we develop an analytical framework to characterize
the capacity of MIMO communication systems in the presence of
multiple MIMO co-channel interferers and noise. We consider the
situation in which transmitters have no channel state information,
and all links undergo Rayleigh fading. We first generalize the de-
terminant representation of hypergeometric functions with matrix
arguments to the case when the argument matrices have eigen-
values of arbitrary multiplicity. This enables the derivation of the
distribution of the eigenvalues of Gaussian quadratic forms and
Wishart matrices with arbitrary correlation, with application to
both single-user and multiuser MIMO systems. In particular, we
derive the ergodic mutual information for MIMO systems in the
presence of multiple MIMO interferers. Our analysis is valid for
any number of interferers, each with arbitrary number of antennas
having possibly unequal power levels. This framework, therefore,
accommodates the study of distributed MIMO systems and ac-
counts for different spatial positions of the MIMO interferers
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