  In practice, wireless networks are deployed over finite domains, the level of
mobility is different at different locations, and user mobility is correlated
over time. All these features have an impact on the temporal properties of
interference which is often neglected. In this paper, we show how to
incorporate correlated user mobility into the interference and outage
correlation models. We use the random waypoint mobility model over a bounded
one-dimensional domain as an example model inducing correlation, and we
calculate its displacement law at different locations. Based on that, we
illustrate that the temporal correlations of interference and outage are
location-dependent, being lower close to the centre of the domain, where the
level of mobility is higher than near the boundary. Close to the boundary, more
time is also needed to see uncorrelated interference. Our findings suggest that
an accurate description of the mobility pattern is important, because it leads
to more accurate understanding/modeling of interference and receiver
performance.
