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Trajectory Optimization for Cooperative Dual-Band UAV Swarms
Stevens Institute of Technology, Hoboken, NJ, USA.
The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (DISCO, Datakommunikation)ORCID iD: 0000-0002-9446-8143
The University of British Columbia, Okanagan Campus, Kelowna, BC, Canada.
2018 (English)In: 2018 IEEE Global Communications Conference (GLOBECOM 2018), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Unmanned aerial vehicles (UAVs) have gained a lot of popularity in diverse wireless communication fields. They can act as high- altitude flying relays to support communications between ground nodes due to their ability to provide line-of- sight links. With the flourishing Internet of Things, several types of new applications are emerging. In this paper, we focus on bandwidth hungry and delay-tolerant applications where multiple pairs of transceivers require the support of UAVs to complete their transmissions. To do so, the UAVs have the possibility to employ two different bands namely the typical microwave and the high-rate millimeter wave bands. In this paper, we develop a generic framework to assign UAVs to supported transceivers and optimize their trajectories such that a weighted function of the total service time is minimized. Taking into account both the communication time needed to relay the message and the flying time of the UAVs, a mixed non-linear programming problem aiming at finding the stops at which the UAVs hover to forward the data to the receivers is formulated. An iterative approach is then developed to solve the problem. First, a mixed linear programming problem is optimally solved to determine the path of each available UAV. Then, a hierarchical iterative search is executed to enhance the UAV stops' locations and reduce the service time. The behavior of the UAVs and the benefits of the proposed framework are showcased for selected scenarios.

Place, publisher, year, edition, pages
IEEE, 2018.
Series
IEEE Global Communications Conference (GLOBECOM), ISSN 2334-0983, E-ISSN 2576-6813
Keywords [en]
3D positioning and path planning, cooperative networks, mmWave communications, unmanned aerial vehicles
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-71473DOI: 10.1109/GLOCOM.2018.8648087ISI: 000465774305141OAI: oai:DiVA.org:kau-71473DiVA, id: diva2:1295352
Conference
2018 IEEE Global Communications Conference (GLOBECOM) 9-13 Dec. 2018, Abu Dhabi,ARAB EMIRATES
Projects
Socra, 4840
Funder
Knowledge FoundationAvailable from: 2019-03-11 Created: 2019-03-11 Last updated: 2019-11-10Bibliographically approved

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Ghazzai, HakimKassler, Andreas

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  • apa
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