Joint Trajectory and Transmit Beamforming Design for UAV-Enable Integrated Sensing, Communication and Computing

In this paper, we propose an unmanned aerial vehicle (UAV)-enabled integrated sensing, communication, and computing (ISCC) system based on mobile edge computing (MEC). The proposed system incorporates one UAV equipped with triplefunctional systems and base stations (BSs) equipped with edge computing servers. When performing environmental detection, the UAV transfers computational work to BSs that have limited computing resources. Additionally, we provide a novel MultiObjective Optimization Problem (MOOP) that seeks to optimize both the transmit beamforming vector and trajectory of the UAV. To tackle this challenging issue, we employ a potent strategy that combines alternating optimization with semidefinite relaxation (SDR) and sequential convex approximation (SCA) techniques. The numerical results ultimately confirm the effectiveness of the suggested method and illustrate that UAV can effectively leverage its capabilities to achieve a harmonious combination of communication, sensing, and computational capacities.