UAV Assisted Integrated Sensing and Communication for Mobile Vehicles

Since uncrewed aerial vehicles (UAVs) possess inherent characteristics such as exceptional maneuverability and versatile deployment, they can offer integrated sensing and communication (ISAC) services to vehicles in mobile environment. This paper designs a UAV-assisted ISAC system model, wherein the UAV is employed to provide sensing and communication services to mobile vehicles during its flight. In order to evaluate the radar detection performance of the ISAC system, we introduce radar mutual information (MI) from the information theory perspective. A resource optimization problem for the system model is formulated, which seeks to maximize the system communication rate under the constraints of signal-to-noise ratio (SNR) and MI of the radar detection link by jointly optimizing ISAC task scheduling, UAV transmit power allocation and UAV flight trajectory. The simulation results indicate that the proposed scheme significantly improves both the communication rate and radar MI.