Trade-off between Radar Sensing and Energy Consumption in Integrated Sensing, Computing, and Communication UAV Network

In this paper, a multi-UAV enabled integrated sensing, computing, and communication (ISCAC) system model is proposed, in which multiple UAVs sense ground Users and offload sensing data to a high altitude platform (HAP) for processing through mobile edge computing (MEC). To maximize sensing data acquisition while minimizing total energy consumption of the ISCAC system, we present a trade-off optimization problem between UAV radar sensing and total energy consumption of the system. We transform the established non-convex optimization problem into three subproblems: sensing scheduling optimization, UAV transmit power optimization, and UAV-HAP trajectory optimization. We solve these subproblems using successive convex approximation (SCA) and relaxation methods, and propose a three-layer iterative optimization algorithm to solve the original optimization problem. Simulation results demonstrate that, compared to the benchmark schemes, the proposed algorithm can significantly improve the system performance.