A survey on UAV placement optimization for UAV-assisted communication in 5G and beyond networks |
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| Institution: | 1. School of Information, North China University of Technology, Beijing, 100144, China;2. School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China;1. Department of Information and Communication Systems Engineering, University of the Aegean, Samos, Greece;2. Signal Processing and Intelligent Systems (TelSiP) Research Laboratory, Department of Electrical and Electronics Engineering, School of Engineering, University of West Attica, Ancient Olive Grove Campus, Aigaleo, Greece;3. General Department, National and Kapodistrian University of Athens, Psahna, Greece;4. Computer Networks Group, University of Paderborn, Paderborn, Germany;5. ATOS S.A., Barcelona, Spain |
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| Abstract: | With the increase in capacity demands and the requirement of ubiquitous coverage in the fifth generation and beyond wireless communications networks, unmanned aerial vehicles (UAVs) have acquired a great attention owing to their outstanding characteristics over traditional base stations and relays. UAVs can be deployed faster and with much lower expenditure than ground base stations. In addition, UAVs can enhance the network performance thanks to their strong line-of-sight link conditions with their associated users and their dynamic nature that adapts to varying network conditions. Optimization of the UAV 3D locations in a UAV-assisted wireless communication network was considered in a large body of research as it is a critical design issue that greatly affects communication performance. Although the topic of UAV placement optimization was considered in few surveys, these surveys reviewed only a small part of the growing literature. In addition, the surveys were brief and did not discuss many important design issues such as the objectives of the optimization problem, the adopted solution techniques, the air-to-ground channel models, the transmission media for access and backhaul links, the limited energy nature of the UAV on-board batteries, co-channel interference and spectrum sharing, the interference management, etc. Motivated by the importance of the topic of UAV placement optimization as well as the need for a detailed review of its recent literature, we survey 100 of the recent research papers and provide in-depth discussion to fill the gaps found in the previous survey papers. The considered research papers are summarized and categorized to highlight the differences in the deployment scenario and system model, the optimization objectives and parameters, the proposed solution techniques, and the decision-making strategies and many other points. We also point to some of the existing challenges and potential research directions that have been considered in the surveyed literature and that requires to be considered |
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| Keywords: | Unmanned aerial vehicle (UAV) Placement optimization Wireless communication |
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