Energy-Effective Offloading Scheme in UAV-Assisted C-RAN System

In this article, we aim to minimize the total power of all the Internet of Things Devices (IoTDs) by jointly optimizing user association, computational capacity, transmit power, and the location of unmanned aerial vehicles (UAVs) in an UAV-assisted cloud radio access network (C-RAN). In order to solve this nonconvex problem, we propose an effective algorithm by solving four subproblems iteratively. For the user association and the computational capacity subproblems, the nonconvex constraints are relaxed and the optimal solutions are obtained. For the transmit power control and the location planning subproblems, the successive convex approximation (SCA) technique is used to transform the nonconvex constraints into convex ones. Moreover, to obtain the suboptimal solutions, slack variables are also introduced to deal with the feasibility-check problems. The simulation results demonstrate that the proposed algorithm can greatly reduce the total power consumption of IoTDs.

Automated summary

This article proposes an algorithm to minimize the total power consumption of Internet of Things Devices (IoTDs) by optimizing user association, computational capacity, transmit power, and the location of unmanned aerial vehicles (UAVs). By solving four subproblems iteratively and introducing slack variables to handle feasibility-check problems, the algorithm effectively tackles the nonconvex problem. The simulation results confirm that the proposed algorithm can significantly reduce the total power consumption of IoTDs.