Deployment of UAV and Interference Coordination in UAV-assisted Cellular Networks

As an emerging technology, unmanned aerial base stations (UABSs) also known as drone base stations can effectively improve the quality of service of cellular networks by offering traffic offload for hotspot services. In this paper, we used the bisecting K-means clustering algorithm based on the user’s current quality-of-service (QoS) to deploy the UABSs to cellular networks and demonstrated that its performance was superior to the traditional bisecting K-means clustering algorithm. In addition, in order to reduce the interference between the drone small cells (DSCs) and the macro cells, we investigated three frequency-domain based Inter-Cell Interference Coordination (ICIC) and analyzed their performance. The results show that the proposed scheme can significantly reduce outage probability.