Energy-Efficient Power Allocation for UAV Cognitive Radio Systems
Name:
14-CR_EE_UAV_Relay_VTC'17.pdf
Size:
268.7Kb
Format:
PDF
Description:
Accepted Manuscript
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-02-12Online Publication Date
2018-02-12Print Publication Date
2017-09Permanent link to this record
http://hdl.handle.net/10754/627307
Metadata
Show full item recordAbstract
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.Citation
Sboui L, Ghazzai H, Rezki Z, Alouini M-S (2017) Energy-Efficient Power Allocation for UAV Cognitive Radio Systems. 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). Available: http://dx.doi.org/10.1109/vtcfall.2017.8287971.Additional Links
http://ieeexplore.ieee.org/document/8287971/ae974a485f413a2113503eed53cd6c53
10.1109/vtcfall.2017.8287971