Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications
Jian, Xin Xu, Tao Zhang, Junyi Li, Yaoyao Alfarraj, Osama Yu, Keping Guizani, Mohsen
Jian, Xin
Xu, Tao
Zhang, Junyi
Li, Yaoyao
Alfarraj, Osama
Yu, Keping
Guizani, Mohsen
Supervisor
Department
Machine Learning
Embargo End Date
Type
Journal article
Date
2025
License
Language
English
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Research Projects
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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.
Citation
X. Jian et al., “Energy Efficient Optimal User Association and Node Placement Mechanism for Cooperative UAV Communications,” IEEE Trans Veh Technol, 2024, doi: 10.1109/TVT.2024.3479331.
Source
IEEE Transactions on Vehicular Technology
Conference
Keywords
Cooperative UAV communications, energy efficient resource allocation, multiple beam association
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Source
Publisher
IEEE