Energy Harvesting in Unmanned Aerial Vehicle Networks with 3D Antenna Radiation Patterns

Esma Turgut, M. Cenk Gursoy, Ismail Guvenc

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


In this paper, an analytical framework is provided to analyze the energy coverage performance of unmanned aerial vehicle (UAV) energy harvesting networks with clustered user equipments (UEs). Locations of UEs are modeled as a Poisson Cluster Process (PCP), and UAVs are assumed to be located at a certain height above the center of user clusters. Hence, user-centric UAV deployments are addressed. Two different models are considered for the line-of-sight (LOS) probability function to compare their effects on the network performance. Moreover, antennas with doughnut-shaped radiation patterns are employed at both UAVs and UEs, and the impact of practical 3D antenna radiation patterns on the network performance is also investigated. Initially, the path loss of each tier is statistically described by deriving the complementary cumulative distribution function and probability density function. Following this, association probabilities with each tier are determined, and energy coverage probability of the UAV network is characterized in terms of key system and network parameters for UAV deployments both at a single height level and more generally at multiple heights. Through numerical results, we have shown that cluster size and UAV height play crucial roles on the energy coverage performance. Furthermore, energy coverage probability is significantly affected by the antenna orientation and number of UAVs in the network.

Original languageEnglish (US)
Article number9134425
Pages (from-to)1149-1164
Number of pages16
JournalIEEE Transactions on Green Communications and Networking
Issue number4
StatePublished - Dec 2020
Externally publishedYes


  • 3D antenna radiation patterns
  • Poisson cluster processes
  • Poisson point processes
  • Thomas cluster processes
  • Unmanned aerial vehicles (UAVs)
  • energy coverage probability
  • energy harvesting
  • stochastic geometry

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Computer Networks and Communications


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