Joint Optimization of UAVs 3-D Placement and Power Allocation in Emergency Communications

Wu, Xuewei; Wang, Li; Xu, Lianming; Liu, Zhenyu; Fei, Aiguo

doi:10.1109/globecom46510.2021.9685172

Cited by 1 publication

(4 citation statements)

References 18 publications

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“…A 13.84% of the contributions (i.e. [51], [116], [117], [119]- [123], [127], [130], [133], [135], [139]- [142], [144], [146]) analyzing the power transmission. For example, Alzenad et al [51] focus on minimizing transmit power to achieve energy efficiency while maximizing the coverage for a specified number of users.…”

Section: • Power Transmissionmentioning

confidence: 99%

“…They analyze horizontal and vertical optimizations separately. On the other hand, Wu et al [117] concentrate on maximizing the number of UAVs while simultaneously minimizing transmission power, particularly in scenarios with many UAVs. Additionally, Pan et al [119] aims to maximize the network's utility function by balancing the number of associated users and the transmission power of UAVs.…”

Section: • Power Transmissionmentioning

confidence: 99%

“…This approach enhances the utilization of available resources and promotes a more financially viable network deployment. In this SMS, 12.3% of the contributions (i.e., [78], [95], [103], [117], [120], [155], [156], [158], [161], [164], [166], [168], [171], [172], [178], [180]) focus on optimizing the number of UAVs within the network. For example, Sawalmeh et al [120] address multiple objectives, aiming to maximize wireless coverage while minimizing the number of UAVs and their power transmission.…”

Section: • Number Of Uavsmentioning

confidence: 99%

“…Among the analyzed articles, 54.61% primarily focus on simulating a network with a single UAV providing user service. An additional 30% of the papers involve simulations featuring 2 to 10 UAVs giving service interestingly, while only five articles consider simulations incorporating more than 30 UAVs, e.g., [117], [158], [164], [166], [188].…”

Section: ) Simulation Settingsmentioning

confidence: 99%

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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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