On-Demand Deployment of Aerial Base Stations for Coverage Enhancement in Reconfigurable Intelligent Surface-Assisted Cellular Networks on Uneven Terrains
Andrey V. Savkin, Chao Huang, Wei Ni
Abstract
This letter considers the problem of placing aerial base stations (BSs), also known as Unmanned Aerial Vehicle-based BSs (UAV-BSs), to communicate with ground users in cellular networks on uneven terrains. Reconfigurable Intelligent Surfaces (RISs) are deployed on the uneven terrains to assist with the UAV-BSs in eliminating coverage blind spots and extending coverage. Signals are transmitted by the UAV-BSs either directly or via RISs. We develop a new UAV-BS deployment algorithm to maximize coverage. The convergence of the algorithm is analyzed. Simulation results demonstrate the effectiveness of our algorithm.
Topics & Concepts
Base stationTerrainSoftware deploymentComputer scienceCellular networkConvergence (economics)Real-time computingComputer networkEconomic growthEconomicsEcologyBiologyOperating systemUAV Applications and OptimizationAdvanced Wireless Communication TechnologiesSatellite Communication Systems