2020/07/26 by Vitaly Petrov, Petrov, Vitaly, Margarita Gapeyenko +7
Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Satellite Communication Systems #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2007.13149
openalex publication_date 2020/07/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
On-demand deployments of millimeter-wave (mmWave) access points (APs) carried\nby unmanned aerial vehicles (UAVs) are considered today as a potential solution\nto enhance the performance of 5G+ networks. The battery lifetime of modern\nUAVs, though, limits the flight times in such systems. In this letter, we\nevaluate a feasible deployment alternative for temporary capacity boost in the\nareas with highly fluctuating user demands. The approach is to land UAV-based\nmmWave APs on the nearby buildings instead of hovering over the area. Within\nthe developed mathematical framework, we compare the system-level performance\nof airborne and landed deployments by taking into account the full operation\ncycle of the employed drones. Our numerical results demonstrate that the choice\nof the UAV deployment option is determined by an interplay of the separation\ndistance between the service area and the UAV charging station, drone battery\nlifetime, and the number of aerial APs in use. The presented methodology and\nresults can support efficient on-demand deployments of UAV-based mmWave APs in\nprospective 5G+ networks.\n