Generative AI-Powered Aerial Access Networks: Recent Studies and Future Outlook

Tri Hai Nguyen, Truong Khang Nguyen, Vo Nguyen Quoc Bao, Heejae Park, Laihyuk Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aerial access networks (AANs), comprising un-manned aerial vehicles (UAV), high-altitude platforms (HAPs), and low-earth orbit (LEO) satellites, are rapidly emerging as a critical component of next-generation communication systems. Their dynamic nature, heterogeneous composition, and vast coverage area pose significant challenges for network management and optimization. Generative artificial intelligence (GenAI), renowned for its ability to generate new content, offers a promising solution to these challenges. In this paper, we explore the applications of GenAI in AANs in recent studies. We also identify key challenges and outline promising research directions.

Original languageEnglish
Title of host publicationICTC 2024 - 15th International Conference on ICT Convergence
Subtitle of host publicationAI-Empowered Digital Innovation
PublisherIEEE Computer Society
Pages529-533
Number of pages5
ISBN (Electronic)9798350364637
DOIs
StatePublished - 2024
Event15th International Conference on Information and Communication Technology Convergence, ICTC 2024 - Jeju Island, Korea, Republic of
Duration: 16 Oct 202418 Oct 2024

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference15th International Conference on Information and Communication Technology Convergence, ICTC 2024
Country/TerritoryKorea, Republic of
CityJeju Island
Period16/10/2418/10/24

Keywords

  • aerial access network
  • future outlook
  • generative AI
  • recent studies

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