TY - GEN
T1 - Reviews on UAV-Enabled Wireless Communication Networks with AI-Driven Management
AU - Kim, Youngjun
AU - Oh, Seungmin
AU - Lee, Jaehwan
AU - Kim, Tae Kook
AU - Kyung, Yeunwoong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Data collection
KW - Internet of Things (IoT)
KW - Unmanned aerial vehicles (UAVs)
KW - Wireless communication networks
KW - Wireless Sensor Networks (WSN)
UR - https://www.scopus.com/pages/publications/85198365889
U2 - 10.1109/ICOIN59985.2024.10572070
DO - 10.1109/ICOIN59985.2024.10572070
M3 - Conference contribution
AN - SCOPUS:85198365889
T3 - International Conference on Information Networking
SP - 179
EP - 181
BT - 38th International Conference on Information Networking, ICOIN 2024
PB - IEEE Computer Society
T2 - 38th International Conference on Information Networking, ICOIN 2024
Y2 - 17 January 2024 through 19 January 2024
ER -