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QoS-Compliant 3D Deployment Optimization Strategy for UAV Base Stations

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Document pages: 9 pages

Abstract: Unmanned aerial vehicle (UAV) is being integrated as an active element in 5Gand beyond networks. Because of its flexibility and mobility, UAV base stations(UAV-BSs) can be deployed according to the ground user distributions and theirquality of service (QoS) requirement. Although there has been quite some priorresearch on the UAV deployment, no work has studied this problem in a 3dimensional (3D) setting and taken into account the UAV-BS capacity limit andthe quality of service (QoS) requirements of ground users. Therefore, in thispaper, we focus on the problem of deploying UAV-BSs to provide satisfactorywireless communication services, with the aim to maximize the total number ofcovered user equipment (UE) subject to user data rate requirements and UAV-BSs capacity limit. First, we model the relationship between the air-to-ground(A2G) path loss (PL) and the location of UAV-BSs in both horizontal andvertical dimensions which has not been considered in previous works. Unlike theconventional UAV deployment problem formulation, the 3D deployment problem isdecoupled into a 2D horizontal placement and altitude determination connectedby path loss requirement and minimization. Then, we propose a novel geneticalgorithm (GA) based 2D placement approach in which UAV-BSs are placed to havemaximum coverage of the users with consideration of data rate distribution.Finally, numerical and simulation results show that the proposed approach hasenabled a better coverage percentage comparing with other schemes.

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