Statistical QoS-Aware Design of UAV-Enabled Integrated Sensing and Communication System

In this paper, an unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) system over Rician fading channel operating under statistical quality of service (QoS) constraints is investigated. Effective capacity (EC) is adopted to quantify the performance of data transmissions, which represents the maximal constant arrival rate while satisfying the statistical delay requirements. Assuming the UAV remains stationary, an optimization problem of jointly designing the transmit beamforming, sensing covariance matrix, and UAV location, subjected to constraints of QoS, sensing and total transmit power, to maximize the weighted sum EC is formulated. However, the optimization problem is hard to optimally solved, because the objective function is not closed form, and UAV location variables are incorporated in exponent of steering vector. To make this issue tractable, the alternating optimization (AO) algorithm is proposed to get good quality results. Simulation results validate the superiority of the proposed scheme, particularly under stringent delay conditions.