Fair Deployment of an Unmanned Aerial Vehicle Base Station for Maximal Coverage

Yancheng CHEN  Ning LI  Xijian ZHONG  Yan GUO  

IEICE TRANSACTIONS on Communications   Vol.E102-B   No.10   pp.2014-2020
Publication Date: 2019/10/01
Publicized: 2019/04/26
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2018DRP0008
Type of Manuscript: Special Section PAPER (Special Section on Exploring Drone for Mobile Sensing, Coverage and Communications: Theory and Applications)
unmanned aerial vehicles base station (UAV-BS),  maximal coverage,  genetic algorithm,  fairness performance,  

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Unmanned aerial vehicle mounted base stations (UAV-BSs) can provide wireless cellular service to ground users in a variety of scenarios. The efficient deployment of such UAV-BSs while optimizing the coverage area is one of the key challenges. We investigate the deployment of UAV-BS to maximize the coverage of ground users, and further analyzes the impact of the deployment of UAV-BS on the fairness of ground users. In this paper, we first calculated the location of the UAV-BS according to the QoS requirements of the ground users, and then the fairness of ground users is taken into account by calculating three different fairness indexes. The performance of two genetic algorithms, namely Standard Genetic Algorithm (SGA) and Multi-Population Genetic Algorithm (MPGA) are compared to solve the optimization problem of UAV-BS deployment. The simulations are presented showing that the performance of the two algorithms, and the fairness performance of the ground users is also given.