Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Performance Analysis of MRC under Spatially Correlated Interference
  using Mixture-based Method   Effect of interference correlation on wireless systems is often studied by
modeling the locations of interferers as a Poisson Point Process (PPP).
However, in many cases, the complicated nature of this correlation limits the
analytical tractability of the PPP-based approach. For example, for an
interference-aware $N$-antenna Maximum-Ratio Combining (MRC) receiver, the
analytical expression for outage probability is available only for $N=2$. For
$N>2$, the exact analysis using standard PPP-based approach becomes intractable
because of which one has to either resort to bounds or to simulations. In this
letter, we overcome this issue and derive the MRC outage probability for an
arbitrary $N$ by employing the mixture-based method of modeling the correlation
in the interference powers. This method offers a much simpler analytical
structure to the correlated interference, thereby lending analytical
tractability to such analyses. The mixture parameter ($q$) is tuned based on
the matching of joint Signal-to-Interference Ratio (SIR) statistics, which
results in a very accurate mixture-based result. The tightness of these
approximations is verified using Monte Carlo simulations.

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The categories of this paper are: cond-mat
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-lat
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The categories of this paper are: dg-ga
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The categories of this paper are: econ
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The categories of this paper are: ao-sci
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The categories of this paper are: eess
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The categories of this paper are: hep-ph
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-ex
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
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The categories of this paper are: chem-ph
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The categories of this paper are: astro-ph