Satellite/UAV-assisted Computing and Offloading IoT Networks with Spectrum Sharing: An Energy-Efficient Design

In the case of natural disasters such as floods and earthquakes, ground infrastructure is vulnerable to damage, so a large amount of IoT data cannot be processed in time. Therefore, aerial equipment such as UAV or satellite is needed to provide temporary emergency services. This paper considered a satellite/UAV-assisted computing and offloading networks with spectrum sharing, which can make full use of the deployment flexibility of UAVs, the broad coverage of satellite and the expansibility of unlicensed band. For the UAV and IoT devices, system energy consumption is critical, as well as ensuring each mission is handled timely. So we proposed a scheme to minimize the total energy consumed by the system for computation and transmission while satisfying the maximum tolerable total delay constraint. We jointly optimize UAV location, uploading decisions, computing resource allocation and frequency band selection, without decreasing the WiFi transmission rate in the unlicensed band. The simulation result shows that the proposed scheme can effectively reduce energy consumption, while guarantee the total delay.