2020/03/03 by Matilde Boschiero, Boschiero, Matilde, Marco Giordani +5
Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2003.01391
openalex publication_date 2020/03/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recent developments in robotics and communication technologies are paving the\nway towards the use of Unmanned Aerial Vehicles (UAVs) to provide ubiquitous\nconnectivity in public safety scenarios or in remote areas. The millimeter wave\n(mmWave) spectrum, in particular, has gained momentum since the huge amount of\nfree spectrum available at such frequencies can yield very high data rates. In\nthe UAV context, however, mmWave operations may incur severe signal attenuation\nand sensitivity to blockage, especially considering the very long transmission\ndistances involved. In this paper, we present a tractable stochastic analysis\nto characterize the coverage probability of UAV stations operating at mmWaves.\nWe exemplify some of the trade-offs to be considered when designing solutions\nfor millimeter wave (mmWave) scenarios, such as the beamforming configuration,\nand the UAV altitude and deployment.\n