학술논문

Cognition in UAV-Aided 5G and Beyond Communications: A Survey
Document Type
Periodical
Source
IEEE Transactions on Cognitive Communications and Networking IEEE Trans. Cogn. Commun. Netw. Cognitive Communications and Networking, IEEE Transactions on. 6(3):872-891 Sep, 2020
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Regulation
5G mobile communication
Wireless communication
Drones
Security
3GPP
Cellular networks
Unmanned aerial vehicles (UAVs)
unmanned aerial systems (UAS)
5G and B5G
UAVs standardization
channel modeling
deep reinforcement learning algorithms
energy harvesting techniques
security
regulations
Language
ISSN
2332-7731
2372-2045
Abstract
In recent years, unmanned aerial vehicles (UAVs) have attained significant interest in different applications including aerial surveillance, providing wireless coverage, precision agriculture, power lines & oil rigs monitoring and construction, etc. The UAVs implicit peculiarities, e.g., swift mobility, increase in payload capabilities and airborne time, place it as a potential candidate for many applications in next-generation wireless communications. In this article, a comprehensive study on UAVs challenges, potential applications, and regulations is presented. In particular, fundamental challenges such as UAVs standardization, channel modeling, interference mitigation, collision avoidance and optimal trajectory design using deep reinforcement learning (RL) algorithms, energy harvesting techniques, security, and regulations are explored in light of most recent research development. Moreover, we propose a set of UAVs regulations to ensure its steady social integration and new business opportunities. Finally, various problems and future research directions regarding UAVs are presented.