Abstract:
The use of multi-antenna arrays in both transmission and reception promises
huge increases in the throughput of wireless communication systems.
It is therefore important to analyze the capacities of such systems in
realistic situations, including correlated channels and correlated noise,
as well as correlated interferers with known channel. Here we present an
approach that provides analytic expressions for the statistics, i.e. the
moments of the distribution of the mutual information of multi-antenna
systems with arbitrary correlations, interferers and noise. Although this
method is valid formally for large antenna numbers, it produces extremely
accurate results even for arrays with two or three antennas. We also
develop a method to calculate analytic closed-loop capacities with
covariance feedback. We show that this closed-loop capacity is quite close
to the full closed-loop capacity in which the transmitter has full channel
knowledge. We apply this analytic approach to a number of important
examples and also compare to simulations to establish its validity. This
analytic approach provides a simple tool to analyze the statistics of
throughput for arrays of any size.
Status:
Appears in IEEE Transactions on Information Theory, pp. 2545-2561, Oct. 2003
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