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

FD-JCAS Techniques for mmWave HetNets: Ginibre Point Process Modeling and Analysis