System Cost Minimization in Multi-UAV Assisted Wireless Networks

• Published in: IEEE International Conference on Communications (2003) pp. 397 - 402
• Main Authors: Geng, Shengqi, Zhao, Jian, Sun, Sumei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.06.2024
• Subjects: Autonomous aerial vehicles; Benchmark testing; Costs; Minimization; Quality of service; Simulation; Wireless networks
• ISSN: 1938-1883
• DOI: 10.1109/ICC51166.2024.10622207

In this paper, we consider a UAV-assisted wireless network, where a multi-antenna ground base station (GBS) provides communication services to a group of users through a set of UAVs in a disaster area using in-band wireless backhaul. We propose to optimize the multi- UAV assisted wireless network specifically focusing on the joint optimization of UAV deployments and wireless resources. This problem is complicated because the access link capacities of the network and its backhaul capacities are coupled, and the possible locations of UAVs in the airspace are infinite. We take into account the deployment cost of UAVs in the system. Our objective is to minimize the total system cost subject to the QoS requirements of users and the backhaul constraints. A block coordinate descent algorithm combined with successive convex approximation is introduced to solve the complicated problem by jointly optimizing the number of required UAVs, their locations, the UAV-user association, and the allocation of wireless resources. Simulation results show that the proposed method is adaptable to wireless backhaul constraints and achieves better performance compared to other benchmark methods.