Performance analysis of UAV-assisted cellular network communication

Abstract

Due to their flexible and controllable deployment characteristics, unmanned aerial vehicle (UAV) base stations are increasingly widely used in the field of communication. Based on the advantages of UAV-based station communication, this study analyzes a two-layer downlink communication network model composed of UAV base stations and ground base stations. This study proposes a spatial distribution model of ground base stations and UAV base stations. It is assumed that both UAV base stations and ground base stations are modeled using a Poisson point process (PPP). Combined with the scenario of ground users accessing air-ground base stations, we derive approximate expressions for the coverage probability and throughput of this model using stochastic geometry theory. Then, this paper further studies the impact of key parameters such as ground base station density, UAV density, signal-to-interference ratio, and UAV height on system performance. Through theoretical analysis and simulation verification, the optimal parameter combination for UAV deployment was finally determined. It is shown through numerical experiments that the proposed technique considerably upgrades system performance through the strategic placement of base stations under the proposed network model.