Joint Resource Allocation and Trajectory Optimization in Multi-Cell UAV and Sidelink Heterogeneous Networks

Unmanned aerial vehicle (UAV) and sidelink technology are becoming more and more important in emergency communication. To optimize overall energy efficiency, joint subchannel, transmit power, and multi-UAV trajectory optimization algorithms are examined in a multi-cell heterogeneous network of UAV and sidelink with quality of service (QoS) sensitivity restrictions. To allocate subchannel appropriately in each period, a grouping and matching approach is first developed that can handle the subchannel assignment of multi-cell. Then, successive convex approximation method is used to approximate the non-deterministic polynomial hard problem of power allocation. Taylor expansion approximation method is finally introduced to deal with multi-UAV trajectory optimization. In addition, the complexity analysis is provided and numerical results confirm the optimization methods’ reasonableness.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-08-23
DOI
https://doi.org/10.1109/twc.2024.3445149
Citations
8
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
10.39

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article

Joint Resource Allocation and Trajectory Optimization in Multi-Cell UAV and Sidelink Heterogeneous Networks

Victor C. M. Leung, Chen Sun, Linpei Li, Haojin Li et al.
8 citations
IEEE Transactions on Wireless Communications
UAV Applications and Optimization
10.39
article

Joint Resource Allocation and Trajectory Optimization in Multi-Cell UAV and Sidelink Heterogeneous Networks

Victor C. M. Leung, Chen Sun, Linpei Li, Haojin Li, Mingyang Han, Haijun Zhang, Xiangnan Liu
article en
8 citations

Abstract

Unmanned aerial vehicle (UAV) and sidelink technology are becoming more and more important in emergency communication. To optimize overall energy efficiency, joint subchannel, transmit power, and multi-UAV trajectory optimization algorithms are examined in a multi-cell heterogeneous network of UAV and sidelink with quality of service (QoS) sensitivity restrictions. To allocate subchannel appropriately in each period, a grouping and matching approach is first developed that can handle the subchannel assignment of multi-cell. Then, successive convex approximation method is used to approximate the non-deterministic polynomial hard problem of power allocation. Taylor expansion approximation method is finally introduced to deal with multi-UAV trajectory optimization. In addition, the complexity analysis is provided and numerical results confirm the optimization methods’ reasonableness.

IEEE Transactions on Wireless CommunicationsVol. 23(11)
Shenzhen University (CN), Sony (China) (CN), KTH Royal Institute of Technology (SE), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation
Openalex Percentile: Top 2%
UAV Applications and Optimization
10.39
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Joint Resource Allocation and Trajectory Optimization in Multi-Cell UAV and Sidelink Heterogeneous Networks — Victor C. M. Leung, Chen Sun, et al. · IEEE Transactions on Wireless Communications (2024) | TGRS Research Map | TGRS