Capacity and Coverage Optimization of Cellular Network Deployments for UAV Corridors

We introduce a novel mathematical framework for optimizing cellular network deployments, providing robust coverage and capacity for heterogeneous 3D user distributions. We establish necessary conditions and propose an iterative algorithm to fine-tune critical base station (BS) parameters, including location, horizontal bearing, vertical antenna tilt, and transmit power. In our case study, we optimize both existing and newly deployed BSs to support ground users and uncrewed aerial vehicles (UAVs) along designated corridors. Results indicate that the framework significantly enhances UAV connectivity while preserving near-optimal performance for ground users.