Energy-efficient power allocation for UAV cognitive radio systems

Lokman Sboui, Hakim Ghazzai, Zouheir Rezki, Mohamed Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

46 Scopus citations


We study the deployment of unmanned aerial vehicles (UAV) based cognitive system in an area covered by the primary network (PN). An UAV shares the spectrum of the PN and aims to maximize its energy efficiency (EE) by optimizing the transmit power. We focus on the case where the UAV simultaneously communicates with the ground receiver (G), under interference limitation, and with another relaying UAV (A), with a minimal required rate. We analytically develop the power allocation framework that maximizes the EE subject to power budget, interference, and minimal rate constraints. In the numerical results, we show that the minimal rate may cause a transmission outage at low power budget values. We also highlighted the existence of optimal altitudes given the UAV location with respect to the different other terminals.

Original languageEnglish (US)
Title of host publication2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781509059355
StatePublished - Jul 2 2017
Event86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada
Duration: Sep 24 2017Sep 27 2017

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference86th IEEE Vehicular Technology Conference, VTC Fall 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.


  • Cognitive radio systems
  • Energy efficiency
  • Power allocation
  • Unmanned aerial vehicles

ASJC Scopus subject areas

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications


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