User Mobility-Aware UAV-BS Placement Update With Optimal Resource Allocation

In the presence of mobile ground users, it is imperative to optimize placement unmanned aerial vehicle-base stations (UAV-BSs) in a UAV-assisted communication network. Moreover, update interval also crucial parameter that impacts network performance; hence, needs be optimized. Our work aims jointly users’ association with UAV-BSs, resource allocation, UAV-BS placement, and interval. We propose divide above optimization into two phases: phase 1 2. 1, user association, are optimized, whereas optimized Two different frameworks, namely, max sum rate min rate, utilized for joint optimization. Specifically, framework, objective maximize whereas, worst-off maximized. 2, by minimizing total flight time maximizing coverage probability. Further, analytical expression probability users derived. A sequential approach proposed solve 2 jointly. prove convergence guaranteed. It observed that, average independent number UAV-BSs. However, dependent on The compared benchmark wherein not has been shown unlike work, cannot adapt desired priority service