Utilizing Ground Nodes with Multi-Hop Capabilities to Extend the Range of UAV-BSs

Adam, Nadir; Tapparello, Cristiano; Heinzelman, Wendi; Yanıkömeroğlu, Halim

doi:10.1109/5gwf52925.2021.00029

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…A 14.61% of the contributions (i.e. [103], [113]- [115], [118], [124]- [126], [128], [129], [131], [132], [134]- [138], [143], [145]) focus on optimizing ground coverage or coverage probability, which to maximize the likelihood of successful communication. For example, Pankaj et al [115] concentrate exclusively on optimizing the coverage probability in mobile UAV networks, considering both vertical and spatial directions.…”

Section: B: Service Coveragementioning

confidence: 99%

3D Placement Optimization in UAV-Enabled Communications: A Systematic Mapping Study

Carvajal-Rodríguez,

Guamán,

Tipantuña

et al. 2024

IEEE Open J. Veh. Technol.

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Unmanned aerial vehicles (UAVs) have seen remarkable improvements in their flight capabilities and computational power. Their applications span various domains, such as agriculture, military, and communications. To improve communication quality and coverage in UAV-enabled systems, understanding effective placement techniques is crucial. While research has explored optimal UAV placement in two dimensions, there is a need for a comprehensive three-dimensional (3D) analysis, particularly for resource optimization. This article presents a systematic mapping study on 3D placement in UAV-enabled communication systems, incorporating a threat analysis for the reliability of the results. It provides valuable insights for future research on 3D placement optimization techniques, specifically examining optimization objectives, model system features, problem types, and solution strategies. Our research reveals, on one hand, an emphasis on optimizing data rate throughput, power transmission, and ground coverage, and a predominant use of large-scale fading in the air-to-ground channel model; on the other hand, heuristic algorithms prevail as the solution strategy. Moreover, we identify gaps in achieving critical objectives such as the probability of outage, deployment costs, quality of experience, and spectrum optimization. This highlights the need for further exploration in the formulation aspects of the system, which includes small-scale fading, access techniques, and interference management.

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