Resource Allocation in Wideband Cooperative ISAC Systems

This paper investigates the resource allocation problem for multi-user wideband cooperative integrated sensing and communication (ISAC) networks based on orthogonal frequency-division multiplexing (OFDM) waveforms. In order to balance sensing and communication performance with limited spectrum resources in this wideband cell-free system, we aim to maximize the sum rate, encompassing both communication and radar rates, while adhering to constraints related to access point (AP) power and spectrum resources. We utilize alternate optimization (AO) methods to optimize power and spectrum resources separately. For power optimization, we employ the fractional programming (FP) algorithm to convert the problem into a convex one, which can be quickly solved by the primal-dual subgradient (PDS) method. As for subcarrier allocation optimization, we derive its closed-form solution. Simulation results indicate that the communication and sensing performance of the cell-free ISAC system outperforms that of the conventional centralized ISAC system.