Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

To realize energy efficient communication coverage enhancement for cooperative unmanned aerial vehicles (UAVs) communications equipped with multi-beam array antennas, a nested multi-objective mixed integer non-convex model is established to determine the optimal association between user sets and UAV beams as well as the optimal position of UAVs, to minimize the number and total power consumption of UAVs while achieving load balance among UAVs. An alternate joint optimization algorithm that decouples the aforementioned optimization problem to inner and outer layer optimization is proposed. The inner layer alternately optimizes the user association, power consumption and node position of UAVs, while the outer layer optimizes the number of UAVs. Numerical results show that: cooperative UAV communications with multi-beam association and the proposed joint optimization algorithm can flexibly adapt to the demand distribution of complex traffic tasks, reduce total power consumption and achieve load balance among UAVs. These works provide good reference to enhance communication efficiency of cooperative UAV communications.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-10-14
DOI
https://doi.org/10.1109/tvt.2024.3479331
Citations
3
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
3.90

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article

Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

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3 citations
IEEE Transactions on Vehicular Technology
UAV Applications and Optimization
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article

Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications

Osama Alfarraj, Xin Jian, Mohsen Guizani, Junyi Zhang, Keping Yu, Tao Xu, Yaoyao Li
article en
3 citations

Abstract

To realize energy efficient communication coverage enhancement for cooperative unmanned aerial vehicles (UAVs) communications equipped with multi-beam array antennas, a nested multi-objective mixed integer non-convex model is established to determine the optimal association between user sets and UAV beams as well as the optimal position of UAVs, to minimize the number and total power consumption of UAVs while achieving load balance among UAVs. An alternate joint optimization algorithm that decouples the aforementioned optimization problem to inner and outer layer optimization is proposed. The inner layer alternately optimizes the user association, power consumption and node position of UAVs, while the outer layer optimizes the number of UAVs. Numerical results show that: cooperative UAV communications with multi-beam association and the proposed joint optimization algorithm can flexibly adapt to the demand distribution of complex traffic tasks, reduce total power consumption and achieve load balance among UAVs. These works provide good reference to enhance communication efficiency of cooperative UAV communications.

IEEE Transactions on Vehicular TechnologyVol. 74(2)
Chongqing University (CN), Hosei University (JP), King Saud University (SA), Mohamed bin Zayed University of Artificial Intelligence (AE), Beihang University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 6%
UAV Applications and Optimization
3.90
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