2020/07/16 by Esma Turgut, Turgut, Esma, M. Cenk Gursoy +3
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2007.08108
openalex publication_date 2020/07/16 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In this paper, an analytical framework is provided to analyze the energy\ncoverage performance of unmanned aerial vehicle (UAV) energy harvesting\nnetworks with clustered user equipments (UEs). Locations of UEs are modeled as\na Poisson Cluster Process (PCP), and UAVs are assumed to be located at a\ncertain height above the center of user clusters. Hence, user-centric UAV\ndeployments are addressed. Two different models are considered for the\nline-of-sight (LOS) probability function to compare their effects on the\nnetwork performance. Moreover, antennas with doughnut-shaped radiation patterns\nare employed at both UAVs and UEs, and the impact of practical 3D antenna\nradiation patterns on the network performance is also investigated. Initially,\nthe path loss of each tier is statistically described by deriving the\ncomplementary cumulative distribution function and probability density\nfunction. Following this, association probabilities with each tier are\ndetermined, and energy coverage probability of the UAV network is characterized\nin terms of key system and network parameters for UAV deployments both at a\nsingle height level and more generally at multiple heights. Through numerical\nresults, we have shown that cluster size and UAV height play crucial roles on\nthe energy coverage performance. Furthermore, energy coverage probability is\nsignificantly affected by the antenna orientation and number of UAVs in the\nnetwork.\n