Joint Resource Allocation and Data Offloading for Closed-Loop Controls in Satellite-UAV Networks

To efficiently provide coverage for the machines and robots in remote areas, satellites and unmanned aerial vehicles (UAVs) can be utilized. In such scenarios, UAVs need to integrate different functions to support the control tasks of robots efficiently, while satellites can serve as backhaul to the cloud. To improve the overall performance of the closed-loop control tasks of robots, we jointly optimize the communication and computing resource allocation with data offloading. Specif-ically, we explore the linear quadratic regulator (LQR) cost to measure the control performance and formulate a sum LQR cost minimization problem. An iterative algorithm is proposed to solve the optimization problem. Simulation results are provided to demonstrate the superiority of the proposed scheme.