Fairness-aware Resource Allocation Technique for UAV-aided Information Collection System in a Disaster

Abstract

Unmanned aerial vehicles (UAVs) have garnered attention for disaster response because of their flexibility and mobility. In particular, a UAV-aided disaster communication network allows rescue teams to tackle various missions efficiently and flexibly. In this study, we investigate a UAV-aided information collection system in a disaster-affected area. Then, we propose a bandwidth allocation algorithm that improves the fairness among the ground user equipments (UEs) by utilizing their communication histories and location information. Finally, the simulation results demonstrate the considerable validity of the proposed method compared with the straightforward scheme in terms of fairness.