Backhaul-aware robust 3D drone placement in 5G+ wireless networks

Elham Kalantari, Muhammad Zeeshan Shakir, Halim Yanikomeroglu, Abbas Yongacoglu

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

188 Citations (Scopus)
146 Downloads (Pure)


Using drones as flying base stations is a promising approach to enhance the network coverage and area capacity by moving supply towards demand when required. However deployment of such base stations can face some restrictions that need to be considered. One of the limitations in drone base stations (drone-BSs) deployment is the availability of reliable wireless backhaul link. This paper investigates how different types of wireless backhaul offering various data rates would affect the number of served users. Two approaches, namely, network-centric and user-centric, are introduced and the optimal 3D backhaul-aware placement of a drone-BS is found for each approach. To this end, the total number of served users and sum-rates are maximized in the network-centric and user-centric frameworks, respectively. Moreover, as it is preferred to decrease drone-BS movements to save more on battery and increase flight time and to reduce the channel variations, the robustness of the network is examined as how sensitive it is with respect to the users displacements.
Original languageEnglish
Title of host publicationIEEE International Conference on Communications Workshops (ICC Workshops)
Place of PublicationParis, France
Number of pages6
ISBN (Electronic)978-1-5090-1525-2
Publication statusPublished - 3 Jul 2017
EventIEEE International Conference on Communications - Paris, France
Duration: 21 May 201725 May 2017

Publication series

NameIEEE International Conference on Communications Workshops (ICC Workshops)
ISSN (Electronic)2474-9133


ConferenceIEEE International Conference on Communications
Abbreviated titleIEEE ICC 2017
Internet address


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