Energy-efficient power allocation for UAV cognitive radio systems

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

doi:10.1109/VTCFall.2017.8287971

Energy-efficient power allocation for UAV cognitive radio systems

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

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

51 Scopus citations

Abstract

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 language	English (US)
Title of host publication	2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509059355
DOIs	https://doi.org/10.1109/VTCFall.2017.8287971
State	Published - Jul 2 2017
Event	86th IEEE Vehicular Technology Conference, VTC Fall 2017 - Toronto, Canada Duration: Sep 24 2017 → Sep 27 2017

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-September
ISSN (Print)	1550-2252

Conference

Conference	86th IEEE Vehicular Technology Conference, VTC Fall 2017
Country/Territory	Canada
City	Toronto
Period	09/24/17 → 09/27/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Cognitive radio systems
Energy efficiency
Power allocation
Unmanned aerial vehicles

ASJC Scopus subject areas

Applied Mathematics
Electrical and Electronic Engineering
Computer Science Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/VTCFall.2017.8287971

Cite this

Sboui, L., Ghazzai, H., Rezki, Z., & Alouini, M. S. (2017). Energy-efficient power allocation for UAV cognitive radio systems. In 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings (pp. 1-5). (IEEE Vehicular Technology Conference; Vol. 2017-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2017.8287971

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abstract = "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.",

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author = "Lokman Sboui and Hakim Ghazzai and Zouheir Rezki and Alouini, {Mohamed Slim}",

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Sboui, L, Ghazzai, H, Rezki, Z & Alouini, MS 2017, Energy-efficient power allocation for UAV cognitive radio systems. in 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. IEEE Vehicular Technology Conference, vol. 2017-September, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 86th IEEE Vehicular Technology Conference, VTC Fall 2017, Toronto, Canada, 09/24/17. https://doi.org/10.1109/VTCFall.2017.8287971

Energy-efficient power allocation for UAV cognitive radio systems. / Sboui, Lokman; Ghazzai, Hakim; Rezki, Zouheir et al.
2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 (IEEE Vehicular Technology Conference; Vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Energy-efficient power allocation for UAV cognitive radio systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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