Control-Oriented Beamforming Design for Satellite Internet of Things Systems

Satellite communication stands as an emerging tech-nology pivotal in enabling the seamless global deployment of the Internet of Things (IoT). In this study, we investigate a control-oriented optimization problem in satellite IoT system, such as satellite-enabled automated control for drones and unmanned vehicles, etc. This approach stands as a distinct contrast to conventional studies that lean heavily on communication-oriented issues. Nevertheless, due to the limited power of satellite and the significant transmission distance between satellites and Earth, maintaining control stability poses substantial challenges for satellite control systems. Therefore, our focus is to address the optimization from the angle of minimizing the aggregate linear quadratic regulator (LQR) control cost by designing satellite beamforming. In detail, a developed path-following algorithm is capable of converging to a minimally optimal local solution. When compared with the conventional capacity-oriented optimization framework, the algorithm proposed in this paper has proven to yield a comparatively diminished LQR control cost.