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ICIC-Enabled Association and Channel Selection for UAV-BSS Based on User Locations and Demands
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS, Radio Systems Laboratory (RS Lab). aQatar University, Electrical Engineering Department, Doha, Qatar.ORCID iD: 0000-0001-7578-9702
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2019 (English)In: 2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019, Institute of Electrical and Electronics Engineers (IEEE), 2019, article id 8902917Conference paper, Published paper (Refereed)
Abstract [en]

In this work, the downlink association problem is studied when inter-cell interference coordination (ICIC) is enabled at the network side. The serving base stations (BSs) are mounted over unmanned aerial vehicles (UAVs), allowing for their initial placement as per the user geographic distribution. With recent air-to-ground channel modeling adopted herein, we focus on addressing the problem of coordinated channel assignment from within a reusable channel pool at each of the operator-deployed UAV-BSs along with the consideration of backhaul constraint. The joint association/channel assignment problem, which enables a flexible design of the inter-cell interference terms experienced by the users, is cast into a mixed integer linear program (MILP) that is numerically solved. Due to being a non-deterministic polynomial time (NP)-hard problem, the computation time may unboundedly grow, especially as the number of network nodes increases. To solve this problem, a low-complexity heuristic algorithm is proposed. The proposed heuristic solution is compared to that obtained via the MOSEK solver, revealing a close achievable performance with much less computational complexity.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019. article id 8902917
Keywords [en]
5G and beyond, association, drone-cells, ICIC, UAV-BSS
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-266070DOI: 10.1109/WCNCW.2019.8902917Scopus ID: 2-s2.0-85075791207ISBN: 9781728109220 (print)OAI: oai:DiVA.org:kth-266070DiVA, id: diva2:1381227
Conference
2019 IEEE Wireless Communications and Networking Conference Workshop, WCNCW 2019; Marrakech; Morocco; 15 April 2019 through 18 April 2019
Note

QC 20191220

Available from: 2019-12-20 Created: 2019-12-20 Last updated: 2019-12-20Bibliographically approved

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Khafagy, Mohammad Galal
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CiteExportLink to record
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  • apa
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