  The problem of fast point-to-point MIMO channel mutual information estimation
is addressed, in the situation where the receiver undergoes unknown colored
interference, whereas the channel with the transmitter is perfectly known. The
considered scenario assumes that the estimation is based on a few channel use
observations during a short sensing period. Using large dimensional random
matrix theory, an estimator referred to as {\em G-estimator} is derived. This
estimator is proved to be consistent as the number of antennas and observations
grow large and its asymptotic performance is analyzed. In particular, the
G-estimator satisfies a central limit theorem with asymptotic Gaussian
fluctuations. Simulations are provided which strongly support the theoretical
results, even for small system dimensions.
