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Optimizing UAV Deployment for Enhanced Cellular Network Capacity: A Joint Optimization Approach
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0003-4998-9748
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0001-8517-7996
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0003-0525-4491
2024 (English)In: 2024 6th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies the problem of deploying Unmanned Aerial Vehicles (UAVs) to augment cellular network capacity across diverse geographical regions. We formulate a comprehensive optimization problem, integrating considerations for the requisite number of UAVs, their strategic deployment locations, and the efficient allocation of resources. Initially, we estimate the optimal number of UAVs based on network scale. Subsequently, leveraging dynamic programming techniques, we address the challenges of UAV deployment and coverage radius determination. Association and power allocation are then performed based on the established deployment and coverage parameters. Through extensive simulations, we demonstrate the efficacy of our proposed UAV deployment strategy in significantly enhancing network utility and the served cellular user base.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
Keywords [en]
coverage, deployment, dynamic programming, UAVs
National Category
Communication Systems Telecommunications Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-359864DOI: 10.1109/ICCSPA61559.2024.10794360ISI: 001425412600062Scopus ID: 2-s2.0-85216556783OAI: oai:DiVA.org:kth-359864DiVA, id: diva2:1937173
Conference
6th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2024, Istanbul, Türkiye, Jul 8 2024 - Jul 11 2024
Note

Part of ISBN 9798350384819

QC 20250213

Available from: 2025-02-12 Created: 2025-02-12 Last updated: 2025-04-02Bibliographically approved

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Manzoor, AunasÖzger, MustafaCavdar, Cicek

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf