Joint Deployment and Resource Allocation for Service Provision in Multi-UAV-Assisted Wireless Networks

초록

There has been a growing interest in using unmanned aerial vehicles (UAVs) for high-rate wireless communications due to their flexibility in deployment and relatively low costs. In this paper, we consider a UAV-assisted wireless network, where a multi-antenna ground base station provides communication services to a group of users through a set of UAVs using in-band wireless backhaul. We propose a novel framework for optimizing the multi-UAV-assisted wireless network and consider the following two problems: one minimizes the total system cost, and the other maximizes the system utility. In contrast to previous studies, we consider the deployment cost of UAVs and the impact of UAV locations on the backhaul capacity for both problems. The two problems are complicated mixed-integer nonlinear programming (MINLP) problems, which involve the joint optimization of the UAV selection and their locations, the UAV-user association, and the wireless resource allocations subject to the quality-of-service requirements of users and the wireless backhaul capacity constraints. Therefore, we propose block coordinate descent-based algorithms combined with successive convex approximation to solve the two problems. Simulation results show that the proposed methods are adaptable to the wireless backhaul constraints and outperform other benchmark methods. IEEE

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