Energy Efficiency Analysis of UAV-Assisted mmWave HetNets

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 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 (mu 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 (QoS) 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 displaystyle tau introducing the UAV base stations doubles the EE. We also show that an increase in displaystyle tau beyond an optimal EE point decreases the EE.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
StatePublished - Jul 27 2018
Externally publishedYes
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Other2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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