  The spatial-and-temporal correlation of interference has been well studied in
Poisson networks where the interfering base stations (BSs) are independent of
each other. However, there exists spatial interdependence including attraction
and repulsion among the BSs in practical wireless networks, affecting the
interference distribution and hence the network performance. In view of this,
by modeling the network as a Poisson clustered process, we quantify the effects
of spatial interdependence among BSs on the interference correlation and
analytically prove that BS clustering increases the level of interference
correlation. In particular, it is shown that the level increases as the
attraction between the BSs increases. Furthermore, we study the effects of
spatial interdependence among BSs on network performance with a retransmission
scheme via considering heterogeneous cellular networks in which small-cell BSs
exhibit a clustered topology in practice. It is shown that the interference
correlation degrades the network performance and the degradation increases as
the attraction between BSs increases. Finally, a correlation-aware
retransmission scheme is proposed to improve the network performance by taking
advantage of the interference correlation and avoiding the blind
retransmissions.
