An Energy Efficient Framework for UAV-Assisted Millimeter Wave 5G Heterogeneous Cellular Networks

Jacob Chakareski, Syed Naqvi, Nicholas Mastronarde, Jie Xu, Fatemeh Afghah, Abolfazl Razi

Research output: Contribution to journalArticlepeer-review

76 Scopus citations


We study downlink transmission in a multi-band heterogeneous network comprising unmanned aerial vehicle (UAV) small base stations and ground-based dual mode mmWave small cells within the coverage area of a microwave ( μ W ) macro base station. We formulate a two-layer optimization framework to simultaneously find efficient coverage radius for the UAVs and energy efficient radio resource management for the network, subject to minimum quality-of-service and maximum transmission power constraints. The outer layer derives an optimal coverage radius/height for each UAV as a function of the maximum allowed path loss. The inner layer formulates an optimization problem to maximize the system energy efficiency (EE), defined as the ratio between the aggregate user data rate delivered by the system and its aggregate energy consumption (downlink transmission and circuit power). We demonstrate that at certain values of the target SINR τ introducing the UAV base stations doubles the EE. We also show that an increase in τ beyond an optimal EE point decreases the EE.

Original languageEnglish (US)
Article number8607051
Pages (from-to)37-44
Number of pages8
JournalIEEE Transactions on Green Communications and Networking
Issue number1
StatePublished - Mar 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

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


  • 5G mmWave cellular networks
  • Energy efficiency
  • UAV-enabled aerial small cells
  • green communication in 5G systems
  • multi-Tier heterogeneous networks
  • next generation networking architectures


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