Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4073
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dc.contributor.authorÇiçek, Cihan Tuğrul-
dc.contributor.authorGültekin, Hakan-
dc.contributor.authorTavlı, Bülent-
dc.contributor.authorYanikömeroğlu, Halim-
dc.date.accessioned2021-01-25T11:36:25Z-
dc.date.available2021-01-25T11:36:25Z-
dc.date.issued2020
dc.identifier.citationCicek, C. T., Gultekin, H., Tavli, B., and Yanikomeroglu, H. (2020). Backhaul-aware optimization of UAV base station location and bandwidth allocation for profit maximization. IEEE Access, 8, 154573-154588.en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.11851/4073-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9174722-
dc.description.abstractUnmanned Aerial Vehicle Base Stations (UAV-BSs) are envisioned to be an integral component of the next generation Wireless Communications Networks (WCNs) with a potential to create opportunities for enhancing the capacity of the network by dynamically moving the supply towards the demand while facilitating the services that cannot be provided via other means efficiently. A significant drawback of the state-of-the-art have been designing a WCN in which the service-oriented performance measures (e.g., throughput) are optimized without considering different relevant decisions such as determining the location and allocating the resources, jointly. In this study, we address the UAV-BS location and bandwidth allocation problems together to optimize the total network profit. In particular, a Mixed-Integer Non-Linear Programming (MINLP) formulation is developed, in which the location of a single UAV-BS and bandwidth allocations to users are jointly determined. The objective is to maximize the total profit without exceeding the backhaul and access capacities. The profit gained from a specific user is assumed to be a piecewise-linear function of the provided data rate level, where higher data rate levels would yield higher profit. Due to high complexity of the MINLP, we propose an efficient heuristic algorithm with lower computational complexity. We show that, when the UAV-BS location is determined, the resource allocation problem can be reduced to a Multidimensional Binary Knapsack Problem (MBKP), which can be solved in pseudo-polynomial time. To exploit this structure, the optimal bandwidth allocations are determined by solving several MBKPs in a search algorithm. We test the performance of our algorithm with two heuristics and with the MINLP model solved by a commercial solver. Our numerical results show that the proposed algorithm outperforms the alternative solution approaches and would be a promising tool to improve the total network profit.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.relation.ispartofIEEE ACCESSen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPricingen_US
dc.subjectOptimizationen_US
dc.subjectResource managementen_US
dc.subjectBase stationsen_US
dc.subjectChannel allocationen_US
dc.subjectComputational modelingen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectAerial base stationen_US
dc.subjectbackhaulen_US
dc.subjectnon-linear optimizationen_US
dc.subjectresource allocationen_US
dc.subjectUAVen_US
dc.subjectwireless communicationsen_US
dc.titleBackhaul-Aware Optimization of UAV Base Station Location and Bandwidth Allocation for Profit Maximizationen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.volume8
dc.identifier.startpage154573
dc.identifier.endpage154588
dc.relation.tubitakThis work was supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK) under 2211 Ph.D. Scholarship.en_US
dc.authorid0000-0002-5416-3249-
dc.authorid0000-0002-9615-1983-
dc.identifier.wosWOS:000566123000001en_US
dc.identifier.scopus2-s2.0-85090972509en_US
dc.institutionauthorGültekin, Hakan-
dc.institutionauthorTavlı, Bülent-
dc.identifier.doi10.1109/ACCESS.2020.3018861-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.4. Department of Industrial Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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