  Future wireless networks are expected to adopt many different network
technologies and architectures that promise to greatly enhance data rate and
provide ubiquitous coverage for end users, all while enabling higher spectral
efficiency. These benefits come with an increased risk of co-channel
interference and possible correlation in the aggregated interference, which
impacts the communication performance. This paper introduces a mathematical
framework to quantify the spatial correlation of the interference in finite and
clustered wireless networks with signals subject to Rayleigh fading.
Expressions are derived for the correlation coefficient of the outage
probability when the interferers are located according to some of the most
common point processes used in the literature to model the spatial distribution
of the devices: binomial point process (i.e., relay networks with fixed users),
Poisson point process (i.e., heterogeneous cellular networks), and Thomas point
process (i.e., device-to-device networks).
