  Due to spectrum scarcity, the coexistence of radar and wireless communication
has gained substantial research interest recently. Among many scenarios, the
heterogeneouslydistributed joint radar-communication system is promising due to
its flexibility and compatibility of existing architectures. In this paper, we
focus on a heterogeneous radar and communication network (HRCN), which consists
of various generic radars for multiple target tracking (MTT) and wireless
communications for multiple users. We aim to improve the MTT performance and
maintain good throughput levels for communication users by a well-designed
resource allocation. The problem is formulated as a Bayesian Cram\'er-Rao bound
(CRB) based minimization subjecting to resource budgets and throughput
constraints. The formulated nonconvex problem is solved based on an alternating
descent-ascent approach. Numerical results demonstrate the efficacy of the
proposed allocation scheme for this heterogeneous network.
