Reviews on UAV-Enabled Wireless Communication Networks with AI-Driven Management

Youngjun Kim, Seungmin Oh, Jaehwan Lee, Tae Kook Kim, Yeunwoong Kyung

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

1 Scopus citations

Abstract

Unmanned aerial vehicles (UAVs) are revolutionizing wireless communication networks, enabling diverse applications in military, public safety, and wireless communication. UAV-enabled networks, at the intersection of aerial robotics and communications, address accessibility and scalability issues. Increased demand for enhanced communication solutions in disaster response and underserved areas drives interest in UAV-assisted networks. UAVs, equipped with communication gear, bridge communication gaps and transform information sharing, offering flexible and rapid solutions in previously inaccessible regions. Through AI-based network management, these UAV-enabled networks provide efficient operation and optimization. This paper provides a comprehensive overview of UAV-enabled networks, highlighting performance factors, relationships, and optimization methods. Configurable for connectivity and coverage improvement, mobility, energy efficiency, and 5G integration, these networks expand and collect data in IoT and wireless sensor networks using multiple UAVs. UAVs are transforming communication networks, with diverse applications in various sectors. This paper explores the potential of UAV-enabled networks, including AI-driven network management, to reshape the telecommunications industry and inspire innovations in this rapidly evolving field.

Original languageEnglish
Title of host publication38th International Conference on Information Networking, ICOIN 2024
PublisherIEEE Computer Society
Pages179-181
Number of pages3
ISBN (Electronic)9798350330946
DOIs
StatePublished - 2024
Event38th International Conference on Information Networking, ICOIN 2024 - Hybrid, Ho Chi Minh City, Viet Nam
Duration: 17 Jan 202419 Jan 2024

Publication series

NameInternational Conference on Information Networking
ISSN (Print)1976-7684

Conference

Conference38th International Conference on Information Networking, ICOIN 2024
Country/TerritoryViet Nam
CityHybrid, Ho Chi Minh City
Period17/01/2419/01/24

Keywords

  • Data collection
  • Internet of Things (IoT)
  • Unmanned aerial vehicles (UAVs)
  • Wireless communication networks
  • Wireless Sensor Networks (WSN)

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