Hierarchical Resource Management, Node Placement, and User Association in ATINs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0199970" target="_blank" >RIV/00216305:26220/26:0199970 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11162148" target="_blank" >https://ieeexplore.ieee.org/document/11162148</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCWorkshops67674.2025.11162148" target="_blank" >10.1109/ICCWorkshops67674.2025.11162148</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Hierarchical Resource Management, Node Placement, and User Association in ATINs

Popis výsledku v původním jazyce

High-altitude platform base stations (HAP-BSs) offer capabilities comparable to those of low-Earth orbit satellites in providing communication support for next-generation wireless networks. They are particularly efficient when integrated with uncrewed aerial vehicle base stations (UAV-BSs). However, UAV-BSs encounter practical challenges, such as limited battery lifetime and the necessity for uninterrupted line-of-sight communication, which can constrain their operational efficiency. To address these challenges, this study proposes a hierarchical framework that enhances the coordination and efficiency of UAV-BSs in conjunction with HAP-BSs in the aerial-terrestrial integrated network (ATIN). First, a data-driven genetic algorithm is employed to determine the optimal locations for UAV-BS hovering and landing, considering user demand and operational constraints. This ensures that the UAV-BSs are deployed where they are most effective. Second, resource allocation between HAP-BSs and UAV-BSs is managed through a Stackelberg evolutionary game, wherein HAP-BSs define resource usage policies and UAV-BSs adapt their offloading strategies in response to changing conditions. This approach ensures adaptability to evolving demands while improving both energy efficiency and user satisfaction. The simulation results validate the framework and demonstrate significant improvements in these metrics compared with conventional UAV-BS deployment strategies.

Název v anglickém jazyce

Hierarchical Resource Management, Node Placement, and User Association in ATINs

Popis výsledku anglicky

High-altitude platform base stations (HAP-BSs) offer capabilities comparable to those of low-Earth orbit satellites in providing communication support for next-generation wireless networks. They are particularly efficient when integrated with uncrewed aerial vehicle base stations (UAV-BSs). However, UAV-BSs encounter practical challenges, such as limited battery lifetime and the necessity for uninterrupted line-of-sight communication, which can constrain their operational efficiency. To address these challenges, this study proposes a hierarchical framework that enhances the coordination and efficiency of UAV-BSs in conjunction with HAP-BSs in the aerial-terrestrial integrated network (ATIN). First, a data-driven genetic algorithm is employed to determine the optimal locations for UAV-BS hovering and landing, considering user demand and operational constraints. This ensures that the UAV-BSs are deployed where they are most effective. Second, resource allocation between HAP-BSs and UAV-BSs is managed through a Stackelberg evolutionary game, wherein HAP-BSs define resource usage policies and UAV-BSs adapt their offloading strategies in response to changing conditions. This approach ensures adaptability to evolving demands while improving both energy efficiency and user satisfaction. The simulation results validate the framework and demonstrate significant improvements in these metrics compared with conventional UAV-BS deployment strategies.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/FW10010014" target="_blank" >FW10010014: Nová automatizace procesů řízená umělou inteligencí pro zjednodušení a zlepšení telekomunikačních procesů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 IEEE International Conference on Communications Workshops (ICC Workshops)

ISBN

9798331596248

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

2126-2131

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

—

Místo konání akce

Montreal, Kanada

Datum konání akce

8. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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