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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

<a href="/en/project/FW10010014" target="_blank" >FW10010014: Novel AI-Driven Process Automation for Simplifying and Enhancing Telecommunication Processes</a><br>

Continuities

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

Publication year

2025

Confidentiality

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

Article name in the collection

2025 IEEE International Conference on Communications Workshops (ICC Workshops)

ISBN

9798331596248

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

2126-2131

Publisher name

Institute of Electrical and Electronics Engineers Inc.

Place of publication

—

Event location

Montreal, Kanada

Event date

Jun 8, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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