On Demand User Association and Load Distribution with Guaranteed Rate in Multi UAV-Assisted Cellular Networks

The recent advent of emergent networks (5G and 6G) has led to an exponential growth in the number of smart devices in circulation. Deployment of a group of unmanned aerial vehicles (UAV s) to a site to satisfy customers' minimal QoS demands is one way to meet the ever-increasing need for network coverage. The main challenge that we address in this paper is how to placement these UAV s such that the load is fairly distributed among the UAVs, and the data rate per customer is maximized. Both consumers and providers have a stake in solving this issue. As for consumers, better and more predictable QoS of the networks makes for a better experience. And for providers, happier customers mean more revenue and longer customer retention. In this work, we propose a heuristic algorithm to compute the placement of the UAVs taking into account the locations of the users, their minimum QoS capacities, and the UAV service capacities. Empirical results show that our approach is superior to a planned server network in terms number of served users and fairness among base stations.