Reviews on UAV-Enabled Wireless Communication Networks with AI-Driven Management
Young‐Jun Kim, Seungmin Oh, John J. Lee, Tae-Kook Kim, Yeunwoong Kyung
- 发表年份
- 2024
- 引用次数
- 2
摘要
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.
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