Joint UAV Deployment and Energy Transmission Design for Throughput Maximization in IoRT Networks

On account of the difficulty of deploying the ground base station (BS) and the limited power consumption of smart devices in Internet of Remote Things (IoRT) networks, it is necessary to construct a system assisted by unmanned aerial vehicles (UAVs) for sustainable communication. This paper aims to study a resource allocation problem in the wireless powered communication network (WPCN) while a UAV serves as an aerial BS. The optimization goal of this paper is to maximize the minimum throughput of ground terminals (CTs) by jointly optimizing the LAY deployment, time resource allocation, and power control. Nevertheless, the optimization problem is nonlinear and non-convex, which is difficult to solve directly. Therefore, it is transformed into two sub-problems, which can be iterated alternately to maximize the minimum throughput of each device in WPCN. The successive convex approximation (SCA) technique and variable substitution are used to transform two non-convex sub-problems into solvable problems. Finally, an iterative algorithm combining two sub-problems is designed to obtain the resource allocation strategies. The numerical results show that the communication resource can be fully shared by adjusting the position of the UAV, and the efficiency and performance of the algorithm are verified.