Large-scale disasters such as earthquakes and tsunamis have a history of affecting people’s lives and social activities, and there is a growing demand for creating a more disaster-resilient society. Terrestrial communication infrastructure such as base stations may be heavily damaged during a disaster, rendering it unable to provide people with network connectivity. Using an unmanned aerial vehicle (UAV) as an aerial base station is a notable solution to this problem because it can move quickly in the air and be deployed immediately after a disaster, regardless of road conditions. However, a moving UAV creates a lack of fairness when there are multiple pieces of ground-based user equipment (UE) due to two causes: some UEs have relatively fewer opportunities to communicate with the base station due to their locations, and the link rate of the UE is lower the further away the equipment is from the UAV’s flight trajectory. To solve this problem, we propose a bandwidth allocation algorithm designed to make adjustments after quantifying the unfairness arising from these causes. We then use computer simulations to confirm its effectiveness.


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    Title :

    A Bandwidth Allocation Algorithm Mitigating Unfairness Issues in a UAV-Aided Flying Base Station Used for Disaster Recovery


    Contributors:


    Publication date :

    2023-10-10


    Size :

    1161407 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English