Positioning flying wireless base stations for optimal communication coverage

Unmanned aerial vehicle-mounted base stations (UAV-BS) have the potential to revolutionize fifth-generation (5G) networks and beyond. Their ability to traverse virtually any terrain allows them to be positioned in the air to provide coverage and connectivity to nearby users. However, determining the...

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Main Author: Lim, Yen Khai
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
Online Access:http://eprints.utar.edu.my/6099/
http://eprints.utar.edu.my/6099/1/SE_2005211_YEN_KHAI_LIM.pdf
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author Lim, Yen Khai
author_facet Lim, Yen Khai
author_sort Lim, Yen Khai
building UTAR Institutional Repository
collection Online Access
description Unmanned aerial vehicle-mounted base stations (UAV-BS) have the potential to revolutionize fifth-generation (5G) networks and beyond. Their ability to traverse virtually any terrain allows them to be positioned in the air to provide coverage and connectivity to nearby users. However, determining the UAVBS’s optimal positions is challenging, as several factors must be considered, including quality of service (QoS), collision avoidance, and fair QoS provisioning for efficient usage of UAV-BS’s limited transmit power. Thus, we propose a fairness-aware three-dimensional multi-UAV-BS placement scheme based on the artificial hummingbird algorithm (AHA). First, we formulate a joint UAV-BS and user association problem to maximize a proportional fairness utility function, subject to collision avoidance and user QoS requirements. Next, we develop a joint UAV-BS placement and user association scheme using the AHA and greedy algorithm. Results show that our proposed scheme significantly outperforms existing baseline schemes in blocking probability, Jain’s fairness index and data rate.
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format Final Year Project / Dissertation / Thesis
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institution Universiti Tunku Abdul Rahman
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last_indexed 2025-11-15T19:40:55Z
publishDate 2023
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spelling utar-60992023-11-24T17:55:33Z Positioning flying wireless base stations for optimal communication coverage Lim, Yen Khai QA76 Computer software Unmanned aerial vehicle-mounted base stations (UAV-BS) have the potential to revolutionize fifth-generation (5G) networks and beyond. Their ability to traverse virtually any terrain allows them to be positioned in the air to provide coverage and connectivity to nearby users. However, determining the UAVBS’s optimal positions is challenging, as several factors must be considered, including quality of service (QoS), collision avoidance, and fair QoS provisioning for efficient usage of UAV-BS’s limited transmit power. Thus, we propose a fairness-aware three-dimensional multi-UAV-BS placement scheme based on the artificial hummingbird algorithm (AHA). First, we formulate a joint UAV-BS and user association problem to maximize a proportional fairness utility function, subject to collision avoidance and user QoS requirements. Next, we develop a joint UAV-BS placement and user association scheme using the AHA and greedy algorithm. Results show that our proposed scheme significantly outperforms existing baseline schemes in blocking probability, Jain’s fairness index and data rate. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6099/1/SE_2005211_YEN_KHAI_LIM.pdf Lim, Yen Khai (2023) Positioning flying wireless base stations for optimal communication coverage. Final Year Project, UTAR. http://eprints.utar.edu.my/6099/
spellingShingle QA76 Computer software
Lim, Yen Khai
Positioning flying wireless base stations for optimal communication coverage
title Positioning flying wireless base stations for optimal communication coverage
title_full Positioning flying wireless base stations for optimal communication coverage
title_fullStr Positioning flying wireless base stations for optimal communication coverage
title_full_unstemmed Positioning flying wireless base stations for optimal communication coverage
title_short Positioning flying wireless base stations for optimal communication coverage
title_sort positioning flying wireless base stations for optimal communication coverage
topic QA76 Computer software
url http://eprints.utar.edu.my/6099/
http://eprints.utar.edu.my/6099/1/SE_2005211_YEN_KHAI_LIM.pdf