  In this paper, we study the co-design of full-duplex (FD) radio with joint
communication and radar sensing (JCAS) techniques in millimeter-wave (mmWave)
heterogeneous networks (HetNets). Spectral co-existence of radar and
communication systems causes mutual interference between the two systems,
compromising both the data exchange and sensing capabilities. Focusing on the
detection performance, we propose a cooperative detection technique, which
exploits the sensing information from multiple base stations (BSs), aiming at
enhancing the probability of successfully detecting an object. Three combining
rules are considered, namely the \textit{OR}, the \textit{Majority} and the
\textit{AND} rule. In real-world network scenarios, the locations of the BSs
are spatially correlated, exhibiting a repulsive behavior. Therefore, we model
the spatial distribution of the BSs as a $\beta$-Ginibre point process
($\beta$-GPP), which can characterize the repulsion among the BSs. By using
stochastic geometry tools, analytical expressions for the detection performance
of $\beta$-GPP-based FD-JCAS systems are expressed for each of the considered
combining rule. Furthermore, by considering temporal interference correlation,
we evaluate the probability of successfully detecting an object over two
different time slots. Our results demonstrate that our proposed technique can
significantly improve the detection performance when compared to the
conventional non-cooperative technique.
